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{
"prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '42320:42348:1'} The data starts from December 20 00:00 and ends on December 26 18:00. Based on the above data, answer the following question:",
"question": "In the 48 hours after the end of the given time window, when will Oceania experience its highest Surface temperature? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, Oceania will experience its highest Surface temperature of 315.8 K 36 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 36,
"location": "Oceania",
"extremum_value": "315.8095",
"target_variable": "2m_temperature",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "cbf537b8c210266c",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "42320:42348:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 150 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87633:87658:1'} The data starts from December 25 06:00 and ends on December 31 06:00. Based on the above data, answer the following question:",
"question": "Which country(s) are currently experiencing an exceedance in 10-meter U component of wind values? An exceedance is defined as a period of at least 120 consecutive hours where the 10-meter U component of wind values exceed the 90th percentile climatology for the six-hourly climatology for day 359 at 06 UTC. Please provide the name of the specific country(s) with the anomaly.",
"response": "The following country(s) are currently experiencing an exceedance in 10-meter U component of wind: Indonesia(average 1.104 m/s)\nMalaysia(average 1.642 m/s)\nChile(average 0.9254 m/s)\nArgentina(average 0.7433 m/s)\nIndia(average 0.8652 m/s)\nChina(average 0.24 m/s)\nEthiopia(average 0.6204 m/s)\nSouth Sudan(average 0.7913 m/s)\nFrance(average 0.6793 m/s)\nRepublic of the Congo(average 0.3128 m/s)\nUkraine(average 0.57 m/s)\nNamibia(average 1.059 m/s)\nKazakhstan(average 0.2776 m/s)\nBrazil(average 0.3081 m/s)\nRussia(average 0.9339 m/s)\nCzechia(average 0.05775 m/s)\nGermany(average 0.2996 m/s)\nNorway(average 0.5303 m/s)\nSweden(average 0.423 m/s)\nVietnam(average 0.4384 m/s)\nCambodia(average 0.4478 m/s)\nNorth Macedonia(average 0.5922 m/s)\nKosovo(average 0.203 m/s)\nTurkey(average 0.4541 m/s)\nDenmark(average 0.36 m/s)\nRomania(average 0.6049 m/s)\nHungary(average 0.2891 m/s)\nSlovakia(average 0.05269 m/s)\nPoland(average 0.1201 m/s)\nGreece(average 0.3256 m/s)\nSudan(average 0.7615 m/s)\nIran(average 0.1289 m/s)\nRepublic of Serbia(average 0.4966 m/s)\nAngola(average 0.4174 m/s)\nBulgaria(average 0.5379 m/s)\nThailand(average 1.561 m/s)\nBrunei(average 1.653 m/s)\nMyanmar(average 1.375 m/s)\nBangladesh(average 0.1923 m/s)\nAfghanistan(average 0.1849 m/s)\nMoldova(average 0.9368 m/s)\nTurkmenistan(average 0.1549 m/s)\nNepal(average 0.08188 m/s)\nGabon(average 0.3343 m/s)\nUnited States of America(average 0.2865 m/s)\nCanada(average 0.7223 m/s)\nPapua New Guinea(average 1.16 m/s)\nGreenland(average 0.4302 m/s)\nMadagascar(average 0.6078 m/s)\nPhilippines(average 1.562 m/s)\nJapan(average 0.1852 m/s)\nFrench Southern and Antarctic Lands(average 0.24 m/s)\nMauritius(average 0.6991 m/s)\nIndian Ocean Territories(average 0.6566 m/s)\nSingapore(average 1.021 m/s)\nPalau(average 0.4792 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"10m_u_component_of_wind",
null
],
"geofeature": "country",
"climatology_timescale_desc": "six-hourly climatology for day 359 at 06 UTC",
"quantile": "0.9",
"min_duration_days": 5,
"true_value": [
"Indonesia",
"Malaysia",
"Chile",
"Argentina",
"India",
"China",
"Ethiopia",
"South Sudan",
"France",
"Republic of the Congo",
"Ukraine",
"Namibia",
"Kazakhstan",
"Brazil",
"Russia",
"Czechia",
"Germany",
"Norway",
"Sweden",
"Vietnam",
"Cambodia",
"North Macedonia",
"Kosovo",
"Turkey",
"Denmark",
"Romania",
"Hungary",
"Slovakia",
"Poland",
"Greece",
"Sudan",
"Iran",
"Republic of Serbia",
"Angola",
"Bulgaria",
"Thailand",
"Brunei",
"Myanmar",
"Bangladesh",
"Afghanistan",
"Moldova",
"Turkmenistan",
"Nepal",
"Gabon",
"United States of America",
"Canada",
"Papua New Guinea",
"Greenland",
"Madagascar",
"Philippines",
"Japan",
"French Southern and Antarctic Lands",
"Mauritius",
"Indian Ocean Territories",
"Singapore",
"Palau"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "53cb4b5354fd0c56",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "87633:87658:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '77668:77695:1'} The data starts from February 29 00:00 and ends on March 06 12:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) have regions with (time-averaged) 10-meter U component of wind values running above the 95th percentile climatology for the six-hourly climatology for day 60 at 00 UTC? Treat any region beyond that percentile as anomalous.",
"response": "The following water body(s) show 10-meter U component of wind values above the 95th percentile climatology for six-hourly climatology for day 60 at 00 UTC: Arctic Ocean(average 1.262 m/s)\nSOUTHERN OCEAN(average 0.2481 m/s)\nNorth Atlantic Ocean(average 0.3883 m/s)\nNorth Pacific Ocean(average 0.7269 m/s)\nSouth Pacific Ocean(average 1.085 m/s)\nINDIAN OCEAN(average 0.4199 m/s)\nSouth Atlantic Ocean(average 0.5491 m/s)\nBlack Sea(average 0.4204 m/s)\nBay of Bengal(average 0.6016 m/s)\nSouth China Sea(average 0.2905 m/s)\nArabian Sea(average 0.1689 m/s)\nGulf of Mexico(average 0.427 m/s)\nCaspian Sea(average 0.8483 m/s)\nGulf of Alaska(average 0.7973 m/s)\nRed Sea(average 0.9373 m/s)\nSea of Okhotsk(average 0.7459 m/s)\nPersian Gulf(average 0.3964 m/s)\nMozambique Channel(average 0.3013 m/s)\nJava Sea(average 0.08513 m/s)\nAndaman Sea(average 0.4632 m/s)\nBahía de Campeche(average 0.04319 m/s)\nGulf of Thailand(average 0.3257 m/s)\nLaccadive Sea(average 0.5068 m/s)\nGulf of Aden(average 0.01034 m/s)\nGulf of Oman(average 0.2053 m/s)\nGulf of Honduras(average 0.1377 m/s)\nGulf of Tonkin(average 0.06711 m/s)\nStrait of Malacca(average 0.345 m/s)\nStrait of Singapore(average 0.5284 m/s)\nGolfo San Jorge(average 0.8623 m/s)\nGulf of Mannar(average 0.9661 m/s)\nGolfo San Matías(average 1.173 m/s)\nPalk Strait(average 1.339 m/s)\nQiongzhou Strait(average 0.09902 m/s)\nGulf of Martaban(average 0.4993 m/s)\nGulf of Suez(average 1.474 m/s)\nGulf of Aqaba(average 1.33 m/s)\nHecate Strait(average 0.2824 m/s)\nCordova Bay(average 0.3397 m/s)\nMediterranean Sea(average 0.3958 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "PWioGV",
"variable": [
"10m_u_component_of_wind",
null
],
"geofeature": "water_body",
"climatology_timescale_desc": "six-hourly climatology for day 60 at 00 UTC",
"quantile": "0.95",
"threshold_direction": "above",
"true_value": [
"Arctic Ocean",
"SOUTHERN OCEAN",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Black Sea",
"Bay of Bengal",
"South China Sea",
"Arabian Sea",
"Gulf of Mexico",
"Caspian Sea",
"Gulf of Alaska",
"Red Sea",
"Sea of Okhotsk",
"Persian Gulf",
"Mozambique Channel",
"Java Sea",
"Andaman Sea",
"Bahía de Campeche",
"Gulf of Thailand",
"Laccadive Sea",
"Gulf of Aden",
"Gulf of Oman",
"Gulf of Honduras",
"Gulf of Tonkin",
"Strait of Malacca",
"Strait of Singapore",
"Golfo San Jorge",
"Gulf of Mannar",
"Golfo San Matías",
"Palk Strait",
"Qiongzhou Strait",
"Gulf of Martaban",
"Gulf of Suez",
"Gulf of Aqaba",
"Hecate Strait",
"Cordova Bay",
"Mediterranean Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "0f1184ab532b6668",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "77668:77695:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 102 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '29776:29793:1'} The data starts from May 20 00:00 and ends on May 24 00:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 36 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 36 hours.'",
"response": "Based on the provided data, there is no extreme weather event expected within the next 36 hours.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [],
"extreme_event_hours": 36,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "a081d8ef53b2da08",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "29776:29793:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 150 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '70860:70885:1'} The data starts from July 03 00:00 and ends on July 09 00:00. Based on the above data, answer the following question:",
"question": "What will the minimum Temperature at 925 hPa be in Antarctica, 12 hours after the end of the given time window?",
"response": "Based on the provided data, the minimum Temperature at 925 hPa in Antarctica 12 hours after the given time window will be 233.6 K.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "233.60031",
"location": "Antarctica",
"target_variable": "temperature_925",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "cba2eee963cab4f5",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "70860:70885:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 114 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '46399:46418:1'} The data starts from October 04 18:00 and ends on October 09 06:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of Thailand. Specifically the region(s) being affected are: Central and northeastern Provinces\nA Tropical cyclone is occuring in the country of Bangladesh. Specifically the region(s) being affected are: Chittagong\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [
"Thailand",
"Bangladesh"
],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "49116f1a682e7745",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "46399:46418:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 108 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '91131:91149:1'} The data starts from May 17 18:00 and ends on May 22 00:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) are currently experiencing an exceedance in Mean sea level pressure values? An exceedance is defined as a period of at least 48 consecutive hours where the Mean sea level pressure values exceed the 90th percentile climatology for the daily climatology for day 137.",
"response": "The following water body(s) are currently experiencing an exceedance in Mean sea level pressure: Arctic Ocean(average 23.48 Pa)\nSOUTHERN OCEAN(average 319.2 Pa)\nNorth Atlantic Ocean(average 212.2 Pa)\nNorth Pacific Ocean(average 31.6 Pa)\nSouth Pacific Ocean(average 114 Pa)\nSouth Atlantic Ocean(average 421.1 Pa)\nBeaufort Sea(average 23.48 Pa)\nCaribbean Sea(average 26.64 Pa)\nGulf of Mexico(average 106.4 Pa)\nLabrador Sea(average 161.9 Pa)\nScotia Sea(average 359.8 Pa)\nKara Sea(average 12.66 Pa)\nDrake Passage(average 45.78 Pa)\nTyrrhenian Sea(average 35.95 Pa)\nStraits of Florida(average 100.4 Pa)\nGulf of Saint Lawrence(average 144.7 Pa)\nBay of Fundy(average 19.91 Pa)\nGulf of Maine(average 33.15 Pa)\nChesapeake Bay(average 374.9 Pa)\nBransfield Strait(average 326.7 Pa)\nStrait of Belle Isle(average 110.7 Pa)\nSaint Lawrence River(average 114.8 Pa)\nMassachusetts Bay(average 47.7 Pa)\nDelaware Bay(average 326.7 Pa)\nLong Island Sound(average 200 Pa)\nAlbemarle Sound(average 445 Pa)\nPamlico Sound(average 454.7 Pa)\nBras d'Or Lake(average 84.94 Pa)\nSargasso Sea(average 183.7 Pa)\nMediterranean Sea(average 31.62 Pa)\nCoral Sea(average 1.023 Pa)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"mean_sea_level_pressure",
null
],
"geofeature": "water_body",
"climatology_timescale_desc": "daily climatology for day 137",
"quantile": "0.9",
"min_duration_days": 2,
"true_value": [
"Arctic Ocean",
"SOUTHERN OCEAN",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"South Atlantic Ocean",
"Beaufort Sea",
"Caribbean Sea",
"Gulf of Mexico",
"Labrador Sea",
"Scotia Sea",
"Kara Sea",
"Drake Passage",
"Tyrrhenian Sea",
"Straits of Florida",
"Gulf of Saint Lawrence",
"Bay of Fundy",
"Gulf of Maine",
"Chesapeake Bay",
"Bransfield Strait",
"Strait of Belle Isle",
"Saint Lawrence River",
"Massachusetts Bay",
"Delaware Bay",
"Long Island Sound",
"Albemarle Sound",
"Pamlico Sound",
"Bras d'Or Lake",
"Sargasso Sea",
"Mediterranean Sea",
"Coral Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "662d54189c1c1f72",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "91131:91149:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '91718:91723:1'} The data starts from October 11 12:00 and ends on October 12 12:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) Surface pressure differs from the monthly climatology for October mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below Surface pressure values.",
"response": "These water body(s) exceed the ±3σ anomaly threshold for Surface pressure relative to the monthly climatology for October mean: North Pacific Ocean(average -864.1 Pa)\nPhilippine Sea(average -1354 Pa)\nSouth China Sea(average -1330 Pa)\nSulu Sea(average -730.8 Pa)\nLuzon Strait(average -1489 Pa)\nEast China Sea(average -983.9 Pa)\nTaiwan Strait(average -1334 Pa)\nSibuyan Sea(average -808.9 Pa)\nRagay Gulf(average -883.8 Pa)\nTayabas Bay(average -897.4 Pa)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"surface_pressure",
null
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for October",
"sigma_threshold": 3,
"threshold_direction": "below",
"true_value": [
"North Pacific Ocean",
"Philippine Sea",
"South China Sea",
"Sulu Sea",
"Luzon Strait",
"East China Sea",
"Taiwan Strait",
"Sibuyan Sea",
"Ragay Gulf",
"Tayabas Bay"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "045787bdd4fff786",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "91718:91723:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 126 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87360:87381:1'} The data starts from October 18 00:00 and ends on October 23 00:00. Based on the above data, answer the following question:",
"question": "Based on the provided meteorological data, where is the Tropical Cyclone currently happening? Specify the affected countries or regions, or respond 'No Tropical Cyclone detected.'",
"response": "Based on the provided data, the Tropical Cyclone is affecting: Mexico; Mexico",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "a7d6Lm",
"true_value": [
"Mexico",
"Mexico"
],
"target_disaster": "Tropical Cyclone",
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "00908129c1f94954",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "87360:87381:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 84 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '92454:92468:1'} The data starts from April 13 12:00 and ends on April 16 18:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) Temperature at 850 hPa lies outside the climatological 5th–95th percentile envelope for the daily climatology for day 103. Regions outside that envelope are anomalous.",
"response": "These water body(s) fall outside the 5th–95th percentile envelope for Temperature at 850 hPa during daily climatology for day 103: Arctic Ocean(average 1.37 K)\nNorth Atlantic Ocean(average 0.6984 K)\nNorth Pacific Ocean(average -0.522 K)\nSouth Pacific Ocean(average -0.2771 K)\nINDIAN OCEAN(average 0.1923 K)\nSouth Atlantic Ocean(average -0.1953 K)\nBlack Sea(average -0.1552 K)\nPhilippine Sea(average 0.105 K)\nSouth China Sea(average -0.1422 K)\nArabian Sea(average 0.7556 K)\nBaffin Bay(average -0.1427 K)\nWeddell Sea(average -0.6284 K)\nPersian Gulf(average 1.125 K)\nNorwegian Sea(average 0.7856 K)\nGreenland Sea(average 1.811 K)\nBay of Biscay(average 0.3871 K)\nMozambique Channel(average 0.311 K)\nNorth Sea(average 0.5459 K)\nInner Seas(average 0.4789 K)\nIrish Sea(average 0.2441 K)\nJava Sea(average 0.08745 K)\nChukchi Sea(average 1.215 K)\nLaccadive Sea(average -0.008433 K)\nGreat Australian Bight(average 0.2451 K)\nGulf of Aden(average 0.9277 K)\nGulf of Oman(average 1.396 K)\nTyrrhenian Sea(average 1.523 K)\nGulf of Carpentaria(average 0.02271 K)\nEnglish Channel(average 0.2243 K)\nGolfe du Lion(average 2.383 K)\nAdriatic Sea(average 1.808 K)\nThe North Western Passages(average -0.9682 K)\nQueen Charlotte Sound(average -0.3686 K)\nIonian Sea(average 0.8455 K)\nBismarck Sea(average 0.1107 K)\nMakassar Strait(average 0.1028 K)\nBalearic Sea(average 1.666 K)\nViscount Melville Sound(average -0.06298 K)\nEast Siberian Sea(average 1.915 K)\nDixon Entrance(average -0.3398 K)\nSognefjorden(average 0.677 K)\nTrondheimsfjorden(average 0.2853 K)\nGulf of Khambhät(average 0.2357 K)\nGulf of Masira(average 1.932 K)\nGulf of Sidra(average 0.519 K)\nLigurian Sea(average 3.661 K)\nPrydz Bay(average -0.8405 K)\nBab el Mandeb(average 1.042 K)\nChaun Bay(average 1.896 K)\nDenmark Strait(average 1.146 K)\nWynniatt Bay(average -0.00206 K)\nHadley Bay(average -0.07244 K)\nGoldsmith Channel(average -0.06808 K)\nJones Sound(average -0.2317 K)\nEclipse Sound(average -0.4128 K)\nLagoa dos Patos(average -1.288 K)\nHecate Strait(average -0.4821 K)\nCordova Bay(average -0.3398 K)\nSargasso Sea(average 0.4834 K)\nColumbia River(average -1.799 K)\nSalish Sea(average -1.18 K)\nMediterranean Sea(average 2.32 K)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"temperature",
850
],
"geofeature": "water_body",
"climatology_timescale_desc": "daily climatology for day 103",
"lower_quantile": "0.05",
"upper_quantile": "0.95",
"true_value": [
"Arctic Ocean",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Black Sea",
"Philippine Sea",
"South China Sea",
"Arabian Sea",
"Baffin Bay",
"Weddell Sea",
"Persian Gulf",
"Norwegian Sea",
"Greenland Sea",
"Bay of Biscay",
"Mozambique Channel",
"North Sea",
"Inner Seas",
"Irish Sea",
"Java Sea",
"Chukchi Sea",
"Laccadive Sea",
"Great Australian Bight",
"Gulf of Aden",
"Gulf of Oman",
"Tyrrhenian Sea",
"Gulf of Carpentaria",
"English Channel",
"Golfe du Lion",
"Adriatic Sea",
"The North Western Passages",
"Queen Charlotte Sound",
"Ionian Sea",
"Bismarck Sea",
"Makassar Strait",
"Balearic Sea",
"Viscount Melville Sound",
"East Siberian Sea",
"Dixon Entrance",
"Sognefjorden",
"Trondheimsfjorden",
"Gulf of Khambhät",
"Gulf of Masira",
"Gulf of Sidra",
"Ligurian Sea",
"Prydz Bay",
"Bab el Mandeb",
"Chaun Bay",
"Denmark Strait",
"Wynniatt Bay",
"Hadley Bay",
"Goldsmith Channel",
"Jones Sound",
"Eclipse Sound",
"Lagoa dos Patos",
"Hecate Strait",
"Cordova Bay",
"Sargasso Sea",
"Columbia River",
"Salish Sea",
"Mediterranean Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "8aca2b59c8b384f0",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "92454:92468:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '42492:42520:1'} The data starts from February 01 00:00 and ends on February 07 18:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, there is no extreme weather event occuring.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "e82418340f2642e6",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "42492:42520:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 150 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '68559:68584:1'} The data starts from December 04 18:00 and ends on December 10 18:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) are currently experiencing an exceedance in Geopotential at 400 hPa values? An exceedance is defined as a period of at least 120 consecutive hours where the Geopotential at 400 hPa values exceed the 99th percentile climatology for the DJF seasonal climatology.",
"response": "The following water body(s) are currently experiencing an exceedance in Geopotential at 400 hPa: Kara Sea(average 191.5 m²/s²)\nLaptev Sea(average 45.04 m²/s²)\nKhatanga Gulf(average 132.5 m²/s²)\nYenisey Gulf(average 58.23 m²/s²)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"geopotential",
400
],
"geofeature": "water_body",
"climatology_timescale_desc": "DJF seasonal climatology",
"quantile": "0.99",
"min_duration_days": 5,
"true_value": [
"Kara Sea",
"Laptev Sea",
"Khatanga Gulf",
"Yenisey Gulf"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "75e497b201a61beb",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "68559:68584:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 108 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '42937:42955:1'} The data starts from May 22 06:00 and ends on May 26 12:00. Based on the above data, answer the following question:",
"question": "In the 24 hours after the end of the given time window, when will Guba Gusinaya experience its lowest Surface temperature? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, Guba Gusinaya will experience its lowest Surface temperature of 267.2 K 6 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 6,
"location": "Guba Gusinaya",
"extremum_value": "267.23502",
"target_variable": "2m_temperature",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "79188850af40e9dd",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "42937:42955:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 144 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '72581:72605:1'} The data starts from September 05 06:00 and ends on September 11 00:00. Based on the above data, answer the following question:",
"question": "Based on the provided meteorological data, where is the Tropical Cyclone currently happening? Specify the affected countries or regions, or respond 'No Tropical Cyclone detected.'",
"response": "Based on the provided data, the Tropical Cyclone is affecting: Bahamas; Cuba; Haiti; Turks and Caicos Islands",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "a7d6Lm",
"true_value": [
"Bahamas",
"Cuba",
"Haiti",
"Turks and Caicos Islands"
],
"target_disaster": "Tropical Cyclone",
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "d2b2548a582aad9b",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "72581:72605:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 132 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '53471:53493:1'} The data starts from August 07 18:00 and ends on August 13 00:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Storm (General) is occuring in the country of Liberia. Specifically the region(s) being affected are: Monrovia\nA Tropical cyclone is occuring in the country of Mexico. Specifically the region(s) being affected are: Chiapas & Oaxaca\nA Tropical cyclone is occuring in the country of Thailand. Specifically the region(s) being affected are: Bangkok\nA Storm (General) is occuring in the country of China. Specifically the region(s) being affected are: Guangdong\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [
"Liberia",
"Mexico",
"Thailand",
"China"
],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "933fd2bb04976aaa",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "53471:53493:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 138 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '84346:84369:1'} The data starts from September 24 12:00 and ends on September 30 00:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) have regions with (time-averaged) Specific humidity at 850 hPa values running above the 90th percentile climatology for the monthly climatology for September? Treat any region beyond that percentile as anomalous.",
"response": "The following water body(s) show Specific humidity at 850 hPa values above the 90th percentile climatology for monthly climatology for September: Arctic Ocean(average 0.0001293 kg/kg)\nNorth Atlantic Ocean(average 0.0001687 kg/kg)\nNorth Pacific Ocean(average 0.0001678 kg/kg)\nSouth Pacific Ocean(average 0.0002724 kg/kg)\nINDIAN OCEAN(average 0.001191 kg/kg)\nSouth Atlantic Ocean(average 0.0002443 kg/kg)\nPhilippine Sea(average 5.155e-05 kg/kg)\nTasman Sea(average 0.0003129 kg/kg)\nBay of Bengal(average 0.0002334 kg/kg)\nSouth China Sea(average 0.0001048 kg/kg)\nWeddell Sea(average 2.087e-05 kg/kg)\nGreenland Sea(average 0.0001118 kg/kg)\nBanda Sea(average 0.0001584 kg/kg)\nGulf of Guinea(average 0.0001078 kg/kg)\nJava Sea(average 0.0002098 kg/kg)\nAndaman Sea(average 0.0001166 kg/kg)\nEast China Sea(average 2.867e-05 kg/kg)\nArafura Sea(average 0.0001987 kg/kg)\nTimor Sea(average 0.0004872 kg/kg)\nGulf of Carpentaria(average 6.521e-05 kg/kg)\nBay of Plenty(average 0.0004373 kg/kg)\nThe North Western Passages(average 8.293e-05 kg/kg)\nBismarck Sea(average 7.885e-05 kg/kg)\nSolomon Sea(average 6.288e-05 kg/kg)\nCeram Sea(average 0.0002026 kg/kg)\nBaía de Marajó(average 0.0001579 kg/kg)\nBaía de São Marcos(average 5.524e-05 kg/kg)\nKane Basin(average 6.295e-05 kg/kg)\nCook Strait(average 0.0001363 kg/kg)\nGulf of Papua(average 1.662e-05 kg/kg)\nBight of Biafra(average 1.827e-05 kg/kg)\nGulf of Martaban(average 0.0001166 kg/kg)\nHall Basin(average 2.086e-05 kg/kg)\nAmazon River(average 0.0001057 kg/kg)\nBali Sea(average 0.000213 kg/kg)\nHalmahera Sea(average 0.0001097 kg/kg)\nSelat Bali(average 0.0001757 kg/kg)\nFlores Sea(average 0.000141 kg/kg)\nSelat Dampier(average 6.963e-05 kg/kg)\nSavu Sea(average 0.0004373 kg/kg)\nKennedy Channel(average 2.086e-05 kg/kg)\nSargasso Sea(average 0.000197 kg/kg)\nMediterranean Sea(average 0.0003297 kg/kg)\nCoral Sea(average 4.835e-05 kg/kg)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "PWioGV",
"variable": [
"specific_humidity",
850
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for September",
"quantile": "0.9",
"threshold_direction": "above",
"true_value": [
"Arctic Ocean",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Philippine Sea",
"Tasman Sea",
"Bay of Bengal",
"South China Sea",
"Weddell Sea",
"Greenland Sea",
"Banda Sea",
"Gulf of Guinea",
"Java Sea",
"Andaman Sea",
"East China Sea",
"Arafura Sea",
"Timor Sea",
"Gulf of Carpentaria",
"Bay of Plenty",
"The North Western Passages",
"Bismarck Sea",
"Solomon Sea",
"Ceram Sea",
"Baía de Marajó",
"Baía de São Marcos",
"Kane Basin",
"Cook Strait",
"Gulf of Papua",
"Bight of Biafra",
"Gulf of Martaban",
"Hall Basin",
"Amazon River",
"Bali Sea",
"Halmahera Sea",
"Selat Bali",
"Flores Sea",
"Selat Dampier",
"Savu Sea",
"Kennedy Channel",
"Sargasso Sea",
"Mediterranean Sea",
"Coral Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "b8f7d290d6645a38",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "84346:84369:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 90 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '33052:33067:1'} The data starts from August 16 00:00 and ends on August 19 12:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of Philippines.\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [
"Philippines"
],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "1e32f006d0cb9bd6",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "33052:33067:1"
}
},
{
"prompt": "The following data shows a snapshot of the global weather fields. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '49576:49577:1'} The data corresponds to corresponds to a snapshot on December 07 00:00. Based on the above data, answer the following question:",
"question": "Based on the provided meteorological data, where is the Storm (General) currently happening? Specify the affected countries or regions, or respond 'No Storm (General) detected.'",
"response": "Based on the provided data, the Storm (General) is affecting: United States of America",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "a7d6Lm",
"true_value": [
"United States of America"
],
"target_disaster": "Storm (General)",
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "0c551665ae8bc62a",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "49576:49577:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 144 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87793:87817:1'} The data starts from February 03 06:00 and ends on February 09 00:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) Temperature at 100 hPa lies outside the climatological 10th–95th percentile envelope for the all-time climatology. Regions outside that envelope are anomalous.",
"response": "These water body(s) fall outside the 10th–95th percentile envelope for Temperature at 100 hPa during all-time climatology: North Pacific Ocean(average -0.8681 K)\nSouth Pacific Ocean(average -1.015 K)\nINDIAN OCEAN(average -0.4486 K)\nSouth Atlantic Ocean(average -1.291 K)\nTasman Sea(average -1.213 K)\nGulf of Alaska(average -0.1473 K)\nMozambique Channel(average -0.1166 K)\nArafura Sea(average -0.1278 K)\nSea of Azov(average -0.0511 K)\nGulf of Carpentaria(average -0.1373 K)\nSolomon Sea(average -0.8858 K)\nCook Inlet(average -0.08822 K)\nBass Strait(average -0.2272 K)\nCook Strait(average -0.5595 K)\nPrince William Sound(average -0.1431 K)\nAntongila Bay(average -0.1192 K)\nSt. Helena Bay(average -0.7154 K)\nCoral Sea(average -0.5412 K)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"temperature",
100
],
"geofeature": "water_body",
"climatology_timescale_desc": "all-time climatology",
"lower_quantile": "0.1",
"upper_quantile": "0.95",
"true_value": [
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Tasman Sea",
"Gulf of Alaska",
"Mozambique Channel",
"Arafura Sea",
"Sea of Azov",
"Gulf of Carpentaria",
"Solomon Sea",
"Cook Inlet",
"Bass Strait",
"Cook Strait",
"Prince William Sound",
"Antongila Bay",
"St. Helena Bay",
"Coral Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "78d0ef44a178a950",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "87793:87817:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '33201:33217:1'} The data starts from September 22 06:00 and ends on September 26 00:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, there is no extreme weather event occuring.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "1e4e726fff81cfc1",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "33201:33217:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 42 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '92181:92188:1'} The data starts from February 04 06:00 and ends on February 05 18:00. Based on the above data, answer the following question:",
"question": "In the 24 hours after the end of the given time window, when will Sint Maarten experience its lowest Geopotential at 925 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, Sint Maarten will experience its lowest Geopotential at 925 hPa of 7925 m²/s² 12 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 12,
"location": "Sint Maarten",
"extremum_value": "7924.9927",
"target_variable": "geopotential_925",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "f6e94186c3e03cfb",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "92181:92188:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 48 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '81662:81670:1'} The data starts from November 23 12:00 and ends on November 25 06:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) have regions with (time-averaged) 10-meter V component of wind values running above the 95th percentile climatology for the all-time climatology? Treat any region beyond that percentile as anomalous.",
"response": "The following water body(s) show 10-meter V component of wind values above the 95th percentile climatology for all-time climatology: Arctic Ocean(average 0.4481 m/s)\nNorth Atlantic Ocean(average 0.5046 m/s)\nNorth Pacific Ocean(average 1.077 m/s)\nSouth Pacific Ocean(average 0.459 m/s)\nINDIAN OCEAN(average 0.3276 m/s)\nSouth Atlantic Ocean(average 0.1595 m/s)\nBeaufort Sea(average 0.7751 m/s)\nGulf of Mexico(average 0.3966 m/s)\nWeddell Sea(average 0.1342 m/s)\nGreenland Sea(average 0.3447 m/s)\nBaltic Sea(average 0.5801 m/s)\nKara Sea(average 1.151 m/s)\nGulf of Finland(average 0.3178 m/s)\nGulf of Bothnia(average 0.505 m/s)\nStraits of Florida(average 0.07973 m/s)\nChesapeake Bay(average 0.1389 m/s)\nBalearic Sea(average 0.8945 m/s)\nMackenzie Bay(average 0.5984 m/s)\nGulf of Riga(average 0.6819 m/s)\nAlboran Sea(average 0.05982 m/s)\nSaint Lawrence River(average 0.1168 m/s)\nGulf of Ob(average 0.4314 m/s)\nDelaware Bay(average 0.3133 m/s)\nLong Island Sound(average 0.1582 m/s)\nKaliningrad(average 0.2063 m/s)\nMediterranean Sea(average 1.115 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "PWioGV",
"variable": [
"10m_v_component_of_wind",
null
],
"geofeature": "water_body",
"climatology_timescale_desc": "all-time climatology",
"quantile": "0.95",
"threshold_direction": "above",
"true_value": [
"Arctic Ocean",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Beaufort Sea",
"Gulf of Mexico",
"Weddell Sea",
"Greenland Sea",
"Baltic Sea",
"Kara Sea",
"Gulf of Finland",
"Gulf of Bothnia",
"Straits of Florida",
"Chesapeake Bay",
"Balearic Sea",
"Mackenzie Bay",
"Gulf of Riga",
"Alboran Sea",
"Saint Lawrence River",
"Gulf of Ob",
"Delaware Bay",
"Long Island Sound",
"Kaliningrad",
"Mediterranean Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "86390b49ede03bc1",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "81662:81670:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 126 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '86010:86031:1'} The data starts from November 14 12:00 and ends on November 19 12:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) 10-meter V component of wind lies outside the climatological 10th–90th percentile envelope for the SON seasonal climatology. Regions outside that envelope are anomalous. Please provide the name of the specific country(s) with the anomaly.",
"response": "These country(s) fall outside the 10th–90th percentile envelope for 10-meter V component of wind during SON seasonal climatology: Indonesia(average -0.3601 m/s)\nChile(average 0.03337 m/s)\nPeru(average -0.06259 m/s)\nArgentina(average 0.05147 m/s)\nIndia(average -0.645 m/s)\nChina(average 0.5416 m/s)\nEthiopia(average -0.2006 m/s)\nSouth Sudan(average 0.3099 m/s)\nSomalia(average -0.5015 m/s)\nKenya(average -0.4502 m/s)\nUnited Republic of Tanzania(average -0.4491 m/s)\nSomaliland(average -0.2299 m/s)\nFrance(average 0.2884 m/s)\nMorocco(average 0.06537 m/s)\nWestern Sahara(average 0.06537 m/s)\nNicaragua(average -0.3642 m/s)\nSaint Martin(average 1.295 m/s)\nSint Maarten(average 1.295 m/s)\nRussia(average -1.129 m/s)\nTunisia(average -1.045 m/s)\nGreece(average 0.2539 m/s)\nAustria(average -0.1058 m/s)\nItaly(average -0.6528 m/s)\nNetherlands(average 1.169 m/s)\nMali(average -0.1718 m/s)\nSenegal(average -0.02009 m/s)\nBenin(average -0.000946 m/s)\nCroatia(average -0.4282 m/s)\nSlovenia(average -0.3642 m/s)\nSaudi Arabia(average 0.006177 m/s)\nPakistan(average -0.581 m/s)\nSan Marino(average -0.826 m/s)\nDominican Republic(average 0.04957 m/s)\nAlgeria(average -0.8523 m/s)\nMyanmar(average -0.07258 m/s)\nAfghanistan(average -0.03143 m/s)\nBosnia and Herzegovina(average -0.1902 m/s)\nCuba(average -0.5138 m/s)\nHonduras(average -0.7525 m/s)\nEcuador(average -0.03696 m/s)\nColombia(average 0.04901 m/s)\nNepal(average 0.8197 m/s)\nNiger(average -0.141 m/s)\nBurkina Faso(average -0.2126 m/s)\nUnited States of America(average -0.1611 m/s)\nCanada(average 0.07021 m/s)\nPanama(average 0.2498 m/s)\nVenezuela(average 0.5881 m/s)\nPapua New Guinea(average -0.07583 m/s)\nYemen(average -0.1096 m/s)\nMauritania(average 0.1378 m/s)\nVatican(average -1.277 m/s)\nAustralia(average -0.1837 m/s)\nGreenland(average -0.08631 m/s)\nFiji(average -0.6025 m/s)\nThe Bahamas(average -0.1713 m/s)\nSeychelles(average -0.493 m/s)\nMarshall Islands(average -0.4357 m/s)\nDominica(average 0.3416 m/s)\nUnited States Minor Outlying Islands(average -0.1705 m/s)\nMontserrat(average 1.128 m/s)\nAntigua and Barbuda(average 1.086 m/s)\nSaint Kitts and Nevis(average 1.086 m/s)\nUnited States Virgin Islands(average 0.922 m/s)\nSaint Barthelemy(average 1.043 m/s)\nPuerto Rico(average 0.7836 m/s)\nAnguilla(average 1.169 m/s)\nBritish Virgin Islands(average 1.108 m/s)\nJamaica(average -0.2668 m/s)\nCayman Islands(average -1.301 m/s)\nTonga(average -0.4148 m/s)\nWallis and Futuna(average -0.4764 m/s)\nPalau(average -0.05119 m/s)\nBajo Nuevo Bank (Petrel Is.)(average -1.12 m/s)\nSerranilla Bank(average -0.5074 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"10m_v_component_of_wind",
null
],
"geofeature": "country",
"climatology_timescale_desc": "SON seasonal climatology",
"lower_quantile": "0.1",
"upper_quantile": "0.9",
"true_value": [
"Indonesia",
"Chile",
"Peru",
"Argentina",
"India",
"China",
"Ethiopia",
"South Sudan",
"Somalia",
"Kenya",
"United Republic of Tanzania",
"Somaliland",
"France",
"Morocco",
"Western Sahara",
"Nicaragua",
"Saint Martin",
"Sint Maarten",
"Russia",
"Tunisia",
"Greece",
"Austria",
"Italy",
"Netherlands",
"Mali",
"Senegal",
"Benin",
"Croatia",
"Slovenia",
"Saudi Arabia",
"Pakistan",
"San Marino",
"Dominican Republic",
"Algeria",
"Myanmar",
"Afghanistan",
"Bosnia and Herzegovina",
"Cuba",
"Honduras",
"Ecuador",
"Colombia",
"Nepal",
"Niger",
"Burkina Faso",
"United States of America",
"Canada",
"Panama",
"Venezuela",
"Papua New Guinea",
"Yemen",
"Mauritania",
"Vatican",
"Australia",
"Greenland",
"Fiji",
"The Bahamas",
"Seychelles",
"Marshall Islands",
"Dominica",
"United States Minor Outlying Islands",
"Montserrat",
"Antigua and Barbuda",
"Saint Kitts and Nevis",
"United States Virgin Islands",
"Saint Barthelemy",
"Puerto Rico",
"Anguilla",
"British Virgin Islands",
"Jamaica",
"Cayman Islands",
"Tonga",
"Wallis and Futuna",
"Palau",
"Bajo Nuevo Bank (Petrel Is.)",
"Serranilla Bank"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "224840d8e7e90686",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "86010:86031:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 102 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '58486:58503:1'} The data starts from January 12 12:00 and ends on January 16 12:00. Based on the above data, answer the following question:",
"question": "What will the median Specific humidity at 500 hPa be in Fiji, 18 hours after the end of the given time window?",
"response": "Based on the provided data, the median Specific humidity at 500 hPa in Fiji 18 hours after the given time window will be 0.004232 kg/kg.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "0.004231564",
"location": "Fiji",
"target_variable": "specific_humidity_500",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "d534becd0727244f",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "58486:58503:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 114 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '74703:74722:1'} The data starts from February 17 18:00 and ends on February 22 06:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 30 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 30 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 30 hours:\nA Blizzard/Winter storm is expected in the country of United States of America in approximately the next 18 to 138 hours. Specifically the region(s) that might get affected are: New York, District of Columbia, New Jersey, Pennsylvania, New Hampshire, Massachusetts, Maine, Connecticut, Rhode Island, Vermont provinces\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"United States of America"
],
"extreme_event_hours": 30,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "020fe0c27b263536",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "74703:74722:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 156 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '89707:89733:1'} The data starts from May 26 18:00 and ends on June 02 00:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 24 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 24 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 24 hours:\nA Tropical cyclone is expected in the country of India in approximately the next 24 hours. Specifically the region(s) that might get affected are: Raigad, Pune Districts (Maharashtra State)\nA Tropical cyclone is expected in the country of Mexico in approximately the next 24 hours. Specifically the region(s) that might get affected are: Ciudad del Carmen (Campeche State); Quintana Roo, Yucatan, Tabasco, Chiapas Oaxaca, Veracruz states\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"India",
"Mexico"
],
"extreme_event_hours": 24,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "29a8f004b3c4bc55",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "89707:89733:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 60 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '67945:67955:1'} The data starts from July 04 06:00 and ends on July 06 12:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) Specific humidity at 300 hPa lies outside the climatological 10th–90th percentile envelope for the monthly climatology for July. Regions outside that envelope are anomalous. Please provide the name of the specific country(s) with the anomaly.",
"response": "These country(s) fall outside the 10th–90th percentile envelope for Specific humidity at 300 hPa during monthly climatology for July: Indonesia(average 3.467e-05 kg/kg)\nIndia(average -6.683e-05 kg/kg)\nChina(average 9.655e-06 kg/kg)\nLebanon(average -4.276e-07 kg/kg)\nSomalia(average 6.363e-06 kg/kg)\nSyria(average -2.789e-07 kg/kg)\nFrance(average 5.753e-05 kg/kg)\nSuriname(average 3.356e-05 kg/kg)\nGuyana(average 2.436e-05 kg/kg)\nMorocco(average 3.801e-05 kg/kg)\nWestern Sahara(average 3.738e-05 kg/kg)\nUkraine(average 4.536e-06 kg/kg)\nBrazil(average 4.087e-05 kg/kg)\nRussia(average -1.136e-05 kg/kg)\nNorway(average 2.282e-06 kg/kg)\nVietnam(average -3.098e-05 kg/kg)\nGeorgia(average 2.271e-06 kg/kg)\nAzerbaijan(average -2.648e-06 kg/kg)\nTurkey(average 1.202e-05 kg/kg)\nLaos(average -8.084e-06 kg/kg)\nArmenia(average -2.648e-06 kg/kg)\nLibya(average -6.056e-06 kg/kg)\nUnited Kingdom(average -4.369e-06 kg/kg)\nSudan(average 9.376e-05 kg/kg)\nIraq(average 9.634e-05 kg/kg)\nIran(average 7.124e-05 kg/kg)\nNetherlands(average 5.333e-05 kg/kg)\nMali(average -1.342e-05 kg/kg)\nSaudi Arabia(average 7.956e-05 kg/kg)\nChad(average 2.388e-05 kg/kg)\nKuwait(average 7.886e-05 kg/kg)\nEast Timor(average 5.343e-05 kg/kg)\nAlgeria(average -5.142e-07 kg/kg)\nMyanmar(average -5.918e-05 kg/kg)\nNiger(average -6.463e-06 kg/kg)\nUnited States of America(average -2.025e-05 kg/kg)\nCanada(average -5.507e-06 kg/kg)\nMexico(average -1.372e-05 kg/kg)\nVenezuela(average 4.435e-05 kg/kg)\nPapua New Guinea(average 1.375e-05 kg/kg)\nEgypt(average 4.739e-05 kg/kg)\nMauritania(average 3.027e-05 kg/kg)\nBir Tawil(average 7.722e-05 kg/kg)\nAustralia(average -2.545e-06 kg/kg)\nGreenland(average 8.849e-06 kg/kg)\nNew Zealand(average 1.049e-05 kg/kg)\nPhilippines(average -7.541e-06 kg/kg)\nCuraçao(average 5.333e-05 kg/kg)\nJapan(average 6.068e-05 kg/kg)\nIceland(average -1.419e-05 kg/kg)\nFrench Polynesia(average -3.213e-06 kg/kg)\nFrench Southern and Antarctic Lands(average 1.594e-05 kg/kg)\nSeychelles(average 2.584e-05 kg/kg)\nKiribati(average 7.631e-06 kg/kg)\nMarshall Islands(average 2.007e-05 kg/kg)\nTrinidad and Tobago(average 8.362e-05 kg/kg)\nGrenada(average 0.0001319 kg/kg)\nSaint Vincent and the Grenadines(average 0.0001357 kg/kg)\nBarbados(average 0.0001487 kg/kg)\nSaint Lucia(average 0.0001369 kg/kg)\nDominica(average 0.0001009 kg/kg)\nMontserrat(average 1.435e-05 kg/kg)\nAntigua and Barbuda(average 1.435e-05 kg/kg)\nSaint Kitts and Nevis(average 1.435e-05 kg/kg)\nJamaica(average -1.258e-05 kg/kg)\nSaint Helena(average 7.768e-06 kg/kg)\nMauritius(average 3.548e-05 kg/kg)\nIsle of Man(average -6.878e-06 kg/kg)\nBajo Nuevo Bank (Petrel Is.)(average -1.624e-05 kg/kg)\nSerranilla Bank(average -2.507e-05 kg/kg)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"specific_humidity",
300
],
"geofeature": "country",
"climatology_timescale_desc": "monthly climatology for July",
"lower_quantile": "0.1",
"upper_quantile": "0.9",
"true_value": [
"Indonesia",
"India",
"China",
"Lebanon",
"Somalia",
"Syria",
"France",
"Suriname",
"Guyana",
"Morocco",
"Western Sahara",
"Ukraine",
"Brazil",
"Russia",
"Norway",
"Vietnam",
"Georgia",
"Azerbaijan",
"Turkey",
"Laos",
"Armenia",
"Libya",
"United Kingdom",
"Sudan",
"Iraq",
"Iran",
"Netherlands",
"Mali",
"Saudi Arabia",
"Chad",
"Kuwait",
"East Timor",
"Algeria",
"Myanmar",
"Niger",
"United States of America",
"Canada",
"Mexico",
"Venezuela",
"Papua New Guinea",
"Egypt",
"Mauritania",
"Bir Tawil",
"Australia",
"Greenland",
"New Zealand",
"Philippines",
"Curaçao",
"Japan",
"Iceland",
"French Polynesia",
"French Southern and Antarctic Lands",
"Seychelles",
"Kiribati",
"Marshall Islands",
"Trinidad and Tobago",
"Grenada",
"Saint Vincent and the Grenadines",
"Barbados",
"Saint Lucia",
"Dominica",
"Montserrat",
"Antigua and Barbuda",
"Saint Kitts and Nevis",
"Jamaica",
"Saint Helena",
"Mauritius",
"Isle of Man",
"Bajo Nuevo Bank (Petrel Is.)",
"Serranilla Bank"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "ec9737313feb8676",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "67945:67955:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '34668:34673:1'} The data starts from September 24 00:00 and ends on September 25 00:00. Based on the above data, answer the following question:",
"question": "In the 30 hours after the end of the given time window, when will North America experience its highest 10-meter V component of wind? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, North America will experience its highest 10-meter V component of wind of 15.13 m/s 6 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 6,
"location": "North America",
"extremum_value": "15.131251",
"target_variable": "10m_v_component_of_wind",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "a3e6b9fb7a2b07a6",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "34668:34673:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 102 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '91556:91573:1'} The data starts from September 01 00:00 and ends on September 05 00:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) Geopotential at 600 hPa differs from the monthly climatology for September mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above Geopotential at 600 hPa values. Please provide the name of the specific country(s) with the anomaly.",
"response": "Based on the provided data, no significant Geopotential at 600 hPa anomalies were detected relative to the monthly climatology for September baseline.",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"geopotential",
600
],
"geofeature": "country",
"climatology_timescale_desc": "monthly climatology for September",
"sigma_threshold": 3,
"threshold_direction": "above",
"true_value": [],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "dce8c53cb6619dfc",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "91556:91573:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 78 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '79538:79551:1'} The data starts from June 10 12:00 and ends on June 13 12:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) are currently experiencing an exceedance in U (zonal) component of wind at 500 hPa values? An exceedance is defined as a period of at least 72 consecutive hours where the U (zonal) component of wind at 500 hPa values exceed the 99th percentile climatology for the JJA seasonal climatology.",
"response": "The following water body(s) are currently experiencing an exceedance in U (zonal) component of wind at 500 hPa: North Atlantic Ocean(average 4.188 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"u_component_of_wind",
500
],
"geofeature": "water_body",
"climatology_timescale_desc": "JJA seasonal climatology",
"quantile": "0.99",
"min_duration_days": 3,
"true_value": [
"North Atlantic Ocean"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "9b145de802577800",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "79538:79551:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 90 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '90226:90241:1'} The data starts from October 03 12:00 and ends on October 07 00:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) Surface pressure differs from the six-hourly climatology for day 277 at 12 UTC mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below Surface pressure values. Please provide the name of the specific country(s) with the anomaly.",
"response": "These country(s) exceed the ±3σ anomaly threshold for Surface pressure relative to the six-hourly climatology for day 277 at 12 UTC mean: Brazil(average -300.3 Pa)\nSerranilla Bank(average -382 Pa)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"surface_pressure",
null
],
"geofeature": "country",
"climatology_timescale_desc": "six-hourly climatology for day 277 at 12 UTC",
"sigma_threshold": 3,
"threshold_direction": "below",
"true_value": [
"Brazil",
"Serranilla Bank"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "82c99c86c48f57a2",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "90226:90241:1"
}
},
{
"prompt": "The following data shows a snapshot of the global weather fields. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '45309:45310:1'} The data corresponds to corresponds to a snapshot on January 05 06:00. Based on the above data, answer the following question:",
"question": "In the 30 hours after the end of the given time window, when will Asia experience its highest 10-meter V component of wind? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, Asia will experience its highest 10-meter V component of wind of 8.15 m/s 30 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 30,
"location": "Asia",
"extremum_value": "8.149884",
"target_variable": "10m_v_component_of_wind",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "69d28f489b4eff5f",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "45309:45310:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 84 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '90397:90411:1'} The data starts from November 15 06:00 and ends on November 18 12:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) 10-meter U component of wind differs from the six-hourly climatology for day 320 at 06 UTC mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below 10-meter U component of wind values. Please provide the name of the specific country(s) with the anomaly.",
"response": "These country(s) exceed the ±3σ anomaly threshold for 10-meter U component of wind relative to the six-hourly climatology for day 320 at 06 UTC mean: India(average -0.5121 m/s)\nChina(average -0.5665 m/s)\nLibya(average -2.157 m/s)\nSierra Leone(average -1.341 m/s)\nGuinea(average -1.955 m/s)\nSudan(average -1.14 m/s)\nIvory Coast(average -1.926 m/s)\nMali(average -2.323 m/s)\nSenegal(average -2.33 m/s)\nNigeria(average -1.551 m/s)\nBenin(average -1.954 m/s)\nChad(average -2.008 m/s)\nMyanmar(average -0.5665 m/s)\nCameroon(average -0.8977 m/s)\nBurkina Faso(average -1.895 m/s)\nGhana(average -1.717 m/s)\nAustralia(average -4.057 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"10m_u_component_of_wind",
null
],
"geofeature": "country",
"climatology_timescale_desc": "six-hourly climatology for day 320 at 06 UTC",
"sigma_threshold": 3,
"threshold_direction": "below",
"true_value": [
"India",
"China",
"Libya",
"Sierra Leone",
"Guinea",
"Sudan",
"Ivory Coast",
"Mali",
"Senegal",
"Nigeria",
"Benin",
"Chad",
"Myanmar",
"Cameroon",
"Burkina Faso",
"Ghana",
"Australia"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "9979da7a7f541c0f",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "90397:90411:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '82443:82471:1'} The data starts from June 06 18:00 and ends on June 13 12:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) 10-meter U component of wind lies outside the climatological 5th–90th percentile envelope for the six-hourly climatology for day 157 at 18 UTC. Regions outside that envelope are anomalous. Please provide the name of the specific country(s) with the anomaly.",
"response": "These country(s) fall outside the 5th–90th percentile envelope for 10-meter U component of wind during six-hourly climatology for day 157 at 18 UTC: Indonesia(average -0.09961 m/s)\nMalaysia(average -0.2442 m/s)\nChile(average -0.7697 m/s)\nBolivia(average -0.6016 m/s)\nPeru(average -0.1582 m/s)\nArgentina(average -0.09336 m/s)\nIndia(average 0.1277 m/s)\nChina(average 0.4348 m/s)\nEthiopia(average 0.5423 m/s)\nSouth Sudan(average 0.3111 m/s)\nSomalia(average 0.8014 m/s)\nKenya(average 0.2156 m/s)\nMalawi(average -0.3244 m/s)\nUnited Republic of Tanzania(average 0.2491 m/s)\nSyria(average 0.07737 m/s)\nSomaliland(average 0.716 m/s)\nFrance(average -0.827 m/s)\nGuyana(average 0.139 m/s)\nMorocco(average -0.8709 m/s)\nWestern Sahara(average -0.8709 m/s)\nCosta Rica(average -0.1435 m/s)\nRepublic of the Congo(average -0.2937 m/s)\nDemocratic Republic of the Congo(average -0.1542 m/s)\nBhutan(average 0.3649 m/s)\nBelarus(average 0.04897 m/s)\nOman(average -0.3307 m/s)\nUzbekistan(average 0.1934 m/s)\nKazakhstan(average 0.1834 m/s)\nTajikistan(average 0.1081 m/s)\nLithuania(average 0.2596 m/s)\nBrazil(average 0.2446 m/s)\nMongolia(average 0.1885 m/s)\nRussia(average 0.4949 m/s)\nGermany(average -0.2257 m/s)\nEstonia(average 1.218 m/s)\nLatvia(average 0.5224 m/s)\nNorway(average 1.1 m/s)\nSweden(average 0.9675 m/s)\nFinland(average 0.8113 m/s)\nLuxembourg(average -0.08326 m/s)\nUnited Arab Emirates(average -0.5188 m/s)\nBelgium(average -0.123 m/s)\nNorth Macedonia(average -0.3435 m/s)\nAlbania(average -0.1574 m/s)\nAzerbaijan(average -0.01454 m/s)\nKosovo(average -0.3241 m/s)\nTurkey(average 0.07737 m/s)\nSpain(average 0.1131 m/s)\nLaos(average 0.2045 m/s)\nKyrgyzstan(average 0.1188 m/s)\nLibya(average 0.2714 m/s)\nTunisia(average 1.583 m/s)\nIreland(average -0.5664 m/s)\nUnited Kingdom(average -0.5052 m/s)\nGreece(average -0.2001 m/s)\nZambia(average -0.3021 m/s)\nSierra Leone(average -0.3323 m/s)\nGuinea(average -0.1613 m/s)\nCentral African Republic(average 0.1797 m/s)\nSudan(average 0.1244 m/s)\nDjibouti(average 0.4102 m/s)\nEritrea(average 0.2856 m/s)\nIraq(average 0.1337 m/s)\nItaly(average -0.3674 m/s)\nSwitzerland(average -0.2297 m/s)\nIran(average -0.2957 m/s)\nNetherlands(average -0.01842 m/s)\nIvory Coast(average 0.145 m/s)\nRepublic of Serbia(average -0.3241 m/s)\nMali(average 0.2405 m/s)\nSenegal(average 0.179 m/s)\nNigeria(average 0.1334 m/s)\nBenin(average 0.04146 m/s)\nAngola(average -0.4868 m/s)\nSaudi Arabia(average 0.08242 m/s)\nZimbabwe(average -0.4088 m/s)\nPakistan(average -0.4251 m/s)\nBulgaria(average -0.5296 m/s)\nThailand(average 0.2229 m/s)\nHaiti(average -0.5802 m/s)\nChad(average -0.3013 m/s)\nEl Salvador(average 0.4003 m/s)\nGuatemala(average 0.09272 m/s)\nMonaco(average -1.095 m/s)\nMozambique(average 0.2261 m/s)\nMyanmar(average 0.1639 m/s)\nAfghanistan(average 0.06755 m/s)\nMontenegro(average -0.1185 m/s)\nBosnia and Herzegovina(average -0.1185 m/s)\nUganda(average 0.01267 m/s)\nHonduras(average 0.2022 m/s)\nEcuador(average -0.2936 m/s)\nColombia(average -0.129 m/s)\nNepal(average 0.5066 m/s)\nCameroon(average 0.1909 m/s)\nGabon(average -0.4424 m/s)\nNiger(average -0.02948 m/s)\nBurkina Faso(average 0.1473 m/s)\nTogo(average 0.1098 m/s)\nGhana(average 0.1584 m/s)\nUnited States of America(average -0.04606 m/s)\nCanada(average 0.2591 m/s)\nMexico(average 0.1197 m/s)\nPanama(average -0.2069 m/s)\nVenezuela(average 0.2199 m/s)\nPapua New Guinea(average -0.25 m/s)\nEgypt(average -0.2593 m/s)\nYemen(average 0.4526 m/s)\nMauritania(average -0.8709 m/s)\nBir Tawil(average -0.5368 m/s)\nAustralia(average -0.4946 m/s)\nGreenland(average 0.1526 m/s)\nNew Zealand(average 1.787 m/s)\nMadagascar(average 0.07083 m/s)\nJapan(average 0.4146 m/s)\nIceland(average 0.3482 m/s)\nPitcairn Islands(average -0.282 m/s)\nFrench Southern and Antarctic Lands(average 0.0407 m/s)\nSeychelles(average 0.9842 m/s)\nUnited States Minor Outlying Islands(average -0.1137 m/s)\nJersey(average -0.5264 m/s)\nGuernsey(average -0.5264 m/s)\nAland(average 1.051 m/s)\nFaroe Islands(average 1.224 m/s)\nSolomon Islands(average -0.156 m/s)\nMaldives(average -0.3953 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"10m_u_component_of_wind",
null
],
"geofeature": "country",
"climatology_timescale_desc": "six-hourly climatology for day 157 at 18 UTC",
"lower_quantile": "0.05",
"upper_quantile": "0.9",
"true_value": [
"Indonesia",
"Malaysia",
"Chile",
"Bolivia",
"Peru",
"Argentina",
"India",
"China",
"Ethiopia",
"South Sudan",
"Somalia",
"Kenya",
"Malawi",
"United Republic of Tanzania",
"Syria",
"Somaliland",
"France",
"Guyana",
"Morocco",
"Western Sahara",
"Costa Rica",
"Republic of the Congo",
"Democratic Republic of the Congo",
"Bhutan",
"Belarus",
"Oman",
"Uzbekistan",
"Kazakhstan",
"Tajikistan",
"Lithuania",
"Brazil",
"Mongolia",
"Russia",
"Germany",
"Estonia",
"Latvia",
"Norway",
"Sweden",
"Finland",
"Luxembourg",
"United Arab Emirates",
"Belgium",
"North Macedonia",
"Albania",
"Azerbaijan",
"Kosovo",
"Turkey",
"Spain",
"Laos",
"Kyrgyzstan",
"Libya",
"Tunisia",
"Ireland",
"United Kingdom",
"Greece",
"Zambia",
"Sierra Leone",
"Guinea",
"Central African Republic",
"Sudan",
"Djibouti",
"Eritrea",
"Iraq",
"Italy",
"Switzerland",
"Iran",
"Netherlands",
"Ivory Coast",
"Republic of Serbia",
"Mali",
"Senegal",
"Nigeria",
"Benin",
"Angola",
"Saudi Arabia",
"Zimbabwe",
"Pakistan",
"Bulgaria",
"Thailand",
"Haiti",
"Chad",
"El Salvador",
"Guatemala",
"Monaco",
"Mozambique",
"Myanmar",
"Afghanistan",
"Montenegro",
"Bosnia and Herzegovina",
"Uganda",
"Honduras",
"Ecuador",
"Colombia",
"Nepal",
"Cameroon",
"Gabon",
"Niger",
"Burkina Faso",
"Togo",
"Ghana",
"United States of America",
"Canada",
"Mexico",
"Panama",
"Venezuela",
"Papua New Guinea",
"Egypt",
"Yemen",
"Mauritania",
"Bir Tawil",
"Australia",
"Greenland",
"New Zealand",
"Madagascar",
"Japan",
"Iceland",
"Pitcairn Islands",
"French Southern and Antarctic Lands",
"Seychelles",
"United States Minor Outlying Islands",
"Jersey",
"Guernsey",
"Aland",
"Faroe Islands",
"Solomon Islands",
"Maldives"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "0b1397c9ab865e2a",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "82443:82471:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 90 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '75536:75551:1'} The data starts from September 14 00:00 and ends on September 17 12:00. Based on the above data, answer the following question:",
"question": "What will the average Specific humidity at 400 hPa be in Oceania, 18 hours after the end of the given time window?",
"response": "Based on the provided data, the average Specific humidity at 400 hPa in Oceania 18 hours after the given time window will be 0.000563 kg/kg.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "0.0005630464",
"location": "Oceania",
"target_variable": "specific_humidity_400",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "652bb767caeed812",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "75536:75551:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 54 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '78105:78114:1'} The data starts from June 17 06:00 and ends on June 19 06:00. Based on the above data, answer the following question:",
"question": "What will the minimum U (zonal) component of wind at 850 hPa be in Grenada, 48 hours after the end of the given time window?",
"response": "Based on the provided data, the minimum U (zonal) component of wind at 850 hPa in Grenada 48 hours after the given time window will be -9.387 m/s.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "-9.387292",
"location": "Grenada",
"target_variable": "u_component_of_wind_850",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "75deed032dccc56b",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "78105:78114:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '74260:74276:1'} The data starts from October 30 00:00 and ends on November 02 18:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) V (meridional) component of wind at 300 hPa lies outside the climatological 1st–90th percentile envelope for the six-hourly climatology for day 303 at 00 UTC. Regions outside that envelope are anomalous.",
"response": "These water body(s) fall outside the 1st–90th percentile envelope for V (meridional) component of wind at 300 hPa during six-hourly climatology for day 303 at 00 UTC: Arctic Ocean(average 2.032 m/s)\nSOUTHERN OCEAN(average 2.477 m/s)\nNorth Atlantic Ocean(average 0.4618 m/s)\nNorth Pacific Ocean(average 1.515 m/s)\nSouth Pacific Ocean(average 3.605 m/s)\nINDIAN OCEAN(average 1.857 m/s)\nSouth Atlantic Ocean(average -0.1101 m/s)\nBlack Sea(average 2.645 m/s)\nPhilippine Sea(average 0.9071 m/s)\nGreat Barrier Reef(average -0.937 m/s)\nTasman Sea(average 1.207 m/s)\nBay of Bengal(average 2.456 m/s)\nSouth China Sea(average 0.6323 m/s)\nArabian Sea(average -2.722 m/s)\nGulf of Mexico(average 1.011 m/s)\nCaspian Sea(average 3.805 m/s)\nBaffin Bay(average 7.631 m/s)\nSea of Okhotsk(average 2.87 m/s)\nWeddell Sea(average 0.2206 m/s)\nNorwegian Sea(average 1.954 m/s)\nGreenland Sea(average 1.504 m/s)\nBanda Sea(average 2.048 m/s)\nGulf of Guinea(average 0.9114 m/s)\nBarents Sea(average -1.592 m/s)\nNorth Sea(average 4.344 m/s)\nJava Sea(average 0.697 m/s)\nChukchi Sea(average 3.777 m/s)\nArafura Sea(average -1.689 m/s)\nTimor Sea(average 4.159 m/s)\nAmundsen Sea(average 0.2653 m/s)\nDavis Strait(average 1.021 m/s)\nKara Sea(average -1.273 m/s)\nLaptev Sea(average 2.974 m/s)\nSea of Azov(average 2.413 m/s)\nAdriatic Sea(average -1.079 m/s)\nBay of Plenty(average 0.8271 m/s)\nIonian Sea(average -1.239 m/s)\nBismarck Sea(average -1.45 m/s)\nSolomon Sea(average -1.316 m/s)\nBristol Bay(average -1.269 m/s)\nMelville Bay(average 13.82 m/s)\nChesapeake Bay(average 0.2959 m/s)\nShelikhova Gulf(average 2.475 m/s)\nBering Sea(average 4.099 m/s)\nEast Siberian Sea(average 1.603 m/s)\nLincoln Sea(average 1.526 m/s)\nMcMurdo Sound(average 2.245 m/s)\nDisko Bay(average 1.741 m/s)\nSkagerrak(average 2.865 m/s)\nTrondheimsfjorden(average 0.2502 m/s)\nKane Basin(average 3.371 m/s)\nGulf of Yana(average 2.437 m/s)\nDmitriy Laptev Strait(average 1.799 m/s)\nCook Strait(average 1.45 m/s)\nTorres Strait(average -1.35 m/s)\nGulf of Papua(average -2.397 m/s)\nWaddenzee(average 3.35 m/s)\nBight of Benin(average 1.275 m/s)\nPrydz Bay(average 2.438 m/s)\nKaraginskiy Gulf(average 3.661 m/s)\nBoknafjorden(average 5.462 m/s)\nJoseph Bonaparte Gulf(average 4.943 m/s)\nGarabogaz Bay(average 0.9325 m/s)\nDelaware Bay(average 0.8548 m/s)\nHall Basin(average 0.3312 m/s)\nUummannaq Fjord(average 4.338 m/s)\nOzero Mogotoyevo(average 0.4862 m/s)\nGuba Gusinaya(average 0.6784 m/s)\nBali Sea(average 0.5374 m/s)\nDavao Gulf(average 0.4424 m/s)\nFlores Sea(average 1.411 m/s)\nSavu Sea(average 2.635 m/s)\nMurchison Sound(average 4.513 m/s)\nKennedy Channel(average 0.3312 m/s)\nSargasso Sea(average -4.042 m/s)\nGulf of Anadyr'(average 2.839 m/s)\nRoss Sea(average 1.373 m/s)\nCoral Sea(average -1.872 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"v_component_of_wind",
300
],
"geofeature": "water_body",
"climatology_timescale_desc": "six-hourly climatology for day 303 at 00 UTC",
"lower_quantile": "0.01",
"upper_quantile": "0.9",
"true_value": [
"Arctic Ocean",
"SOUTHERN OCEAN",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Black Sea",
"Philippine Sea",
"Great Barrier Reef",
"Tasman Sea",
"Bay of Bengal",
"South China Sea",
"Arabian Sea",
"Gulf of Mexico",
"Caspian Sea",
"Baffin Bay",
"Sea of Okhotsk",
"Weddell Sea",
"Norwegian Sea",
"Greenland Sea",
"Banda Sea",
"Gulf of Guinea",
"Barents Sea",
"North Sea",
"Java Sea",
"Chukchi Sea",
"Arafura Sea",
"Timor Sea",
"Amundsen Sea",
"Davis Strait",
"Kara Sea",
"Laptev Sea",
"Sea of Azov",
"Adriatic Sea",
"Bay of Plenty",
"Ionian Sea",
"Bismarck Sea",
"Solomon Sea",
"Bristol Bay",
"Melville Bay",
"Chesapeake Bay",
"Shelikhova Gulf",
"Bering Sea",
"East Siberian Sea",
"Lincoln Sea",
"McMurdo Sound",
"Disko Bay",
"Skagerrak",
"Trondheimsfjorden",
"Kane Basin",
"Gulf of Yana",
"Dmitriy Laptev Strait",
"Cook Strait",
"Torres Strait",
"Gulf of Papua",
"Waddenzee",
"Bight of Benin",
"Prydz Bay",
"Karaginskiy Gulf",
"Boknafjorden",
"Joseph Bonaparte Gulf",
"Garabogaz Bay",
"Delaware Bay",
"Hall Basin",
"Uummannaq Fjord",
"Ozero Mogotoyevo",
"Guba Gusinaya",
"Bali Sea",
"Davao Gulf",
"Flores Sea",
"Savu Sea",
"Murchison Sound",
"Kennedy Channel",
"Sargasso Sea",
"Gulf of Anadyr'",
"Ross Sea",
"Coral Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "ca2d6414618e94d7",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "74260:74276:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 84 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '92769:92783:1'} The data starts from July 01 06:00 and ends on July 04 12:00. Based on the above data, answer the following question:",
"question": "Which country(s) are currently experiencing an exceedance in Specific humidity at 50 hPa values? An exceedance is defined as a period of at least 72 consecutive hours where the Specific humidity at 50 hPa values exceed the 90th percentile climatology for the six-hourly climatology for day 182 at 06 UTC. Please provide the name of the specific country(s) with the anomaly.",
"response": "The following country(s) are currently experiencing an exceedance in Specific humidity at 50 hPa: Indonesia(average 4.582e-08 kg/kg)\nMalaysia(average 6.408e-08 kg/kg)\nChile(average 2.267e-08 kg/kg)\nPeru(average 4.628e-08 kg/kg)\nArgentina(average 2.148e-08 kg/kg)\nDhekelia Sovereign Base Area(average 5.884e-08 kg/kg)\nCyprus(average 5.85e-08 kg/kg)\nIndia(average 5.918e-08 kg/kg)\nChina(average 5.169e-08 kg/kg)\nIsrael(average 4.893e-08 kg/kg)\nPalestine(average 5.065e-08 kg/kg)\nLebanon(average 5.513e-08 kg/kg)\nEthiopia(average 5.609e-08 kg/kg)\nSouth Sudan(average 5.87e-08 kg/kg)\nSomalia(average 5.534e-08 kg/kg)\nKenya(average 4.543e-08 kg/kg)\nSyria(average 6.25e-08 kg/kg)\nSomaliland(average 5.3e-08 kg/kg)\nFrance(average 1.105e-07 kg/kg)\nSuriname(average 8.162e-08 kg/kg)\nGuyana(average 7.681e-08 kg/kg)\nSouth Korea(average 3.936e-08 kg/kg)\nNorth Korea(average 4.992e-08 kg/kg)\nMorocco(average 7.46e-08 kg/kg)\nWestern Sahara(average 8.276e-08 kg/kg)\nCosta Rica(average 7.985e-08 kg/kg)\nNicaragua(average 1.126e-07 kg/kg)\nRepublic of the Congo(average 8.982e-09 kg/kg)\nDemocratic Republic of the Congo(average 4.064e-08 kg/kg)\nBhutan(average 2.608e-08 kg/kg)\nUkraine(average 1.331e-07 kg/kg)\nBelarus(average 1.072e-07 kg/kg)\nSaint Martin(average 8.623e-08 kg/kg)\nSint Maarten(average 8.623e-08 kg/kg)\nOman(average 6.787e-08 kg/kg)\nUzbekistan(average 6.373e-08 kg/kg)\nKazakhstan(average 1.08e-07 kg/kg)\nTajikistan(average 5.857e-08 kg/kg)\nLithuania(average 8.046e-08 kg/kg)\nBrazil(average 4.125e-08 kg/kg)\nMongolia(average 3.711e-08 kg/kg)\nRussia(average 7.631e-08 kg/kg)\nCzechia(average 1.505e-07 kg/kg)\nGermany(average 1.411e-07 kg/kg)\nEstonia(average 6.764e-08 kg/kg)\nLatvia(average 7.193e-08 kg/kg)\nNorway(average 7.935e-08 kg/kg)\nSweden(average 8.195e-08 kg/kg)\nFinland(average 6.376e-08 kg/kg)\nVietnam(average 1.035e-07 kg/kg)\nCambodia(average 1.163e-07 kg/kg)\nLuxembourg(average 1.091e-07 kg/kg)\nUnited Arab Emirates(average 5.186e-08 kg/kg)\nBelgium(average 1.076e-07 kg/kg)\nGeorgia(average 9.389e-08 kg/kg)\nNorth Macedonia(average 4.365e-08 kg/kg)\nAlbania(average 3.837e-08 kg/kg)\nAzerbaijan(average 8.794e-08 kg/kg)\nKosovo(average 4.827e-08 kg/kg)\nTurkey(average 6.955e-08 kg/kg)\nSpain(average 1.084e-07 kg/kg)\nLaos(average 1.128e-07 kg/kg)\nKyrgyzstan(average 7.556e-08 kg/kg)\nArmenia(average 8.763e-08 kg/kg)\nDenmark(average 1.337e-07 kg/kg)\nLibya(average 6.29e-08 kg/kg)\nTunisia(average 6.78e-08 kg/kg)\nRomania(average 9.09e-08 kg/kg)\nHungary(average 8.871e-08 kg/kg)\nSlovakia(average 1.268e-07 kg/kg)\nPoland(average 1.339e-07 kg/kg)\nIreland(average 8.863e-08 kg/kg)\nUnited Kingdom(average 1.025e-07 kg/kg)\nGreece(average 4.578e-08 kg/kg)\nSierra Leone(average 8.458e-08 kg/kg)\nGuinea(average 7.448e-08 kg/kg)\nLiberia(average 6.189e-08 kg/kg)\nCentral African Republic(average 5.376e-08 kg/kg)\nSudan(average 8.187e-08 kg/kg)\nDjibouti(average 6.547e-08 kg/kg)\nEritrea(average 8.514e-08 kg/kg)\nAustria(average 1.199e-07 kg/kg)\nIraq(average 5.753e-08 kg/kg)\nItaly(average 8.361e-08 kg/kg)\nSwitzerland(average 1.202e-07 kg/kg)\nIran(average 6.434e-08 kg/kg)\nNetherlands(average 1.137e-07 kg/kg)\nLiechtenstein(average 1.259e-07 kg/kg)\nIvory Coast(average 6.471e-08 kg/kg)\nRepublic of Serbia(average 5.483e-08 kg/kg)\nMali(average 7.831e-08 kg/kg)\nSenegal(average 6.059e-08 kg/kg)\nNigeria(average 5.909e-08 kg/kg)\nBenin(average 7.108e-08 kg/kg)\nCroatia(average 6.105e-08 kg/kg)\nSlovenia(average 8.052e-08 kg/kg)\nQatar(average 6.8e-08 kg/kg)\nSaudi Arabia(average 7.163e-08 kg/kg)\nPakistan(average 5.172e-08 kg/kg)\nBulgaria(average 6.521e-08 kg/kg)\nThailand(average 1.123e-07 kg/kg)\nSan Marino(average 8.898e-08 kg/kg)\nHaiti(average 9.429e-08 kg/kg)\nDominican Republic(average 9.47e-08 kg/kg)\nChad(average 6.624e-08 kg/kg)\nKuwait(average 6.483e-08 kg/kg)\nEl Salvador(average 1.18e-07 kg/kg)\nGuatemala(average 1.015e-07 kg/kg)\nBrunei(average 9.24e-08 kg/kg)\nMonaco(average 1.38e-07 kg/kg)\nAlgeria(average 7.978e-08 kg/kg)\nMyanmar(average 8.714e-08 kg/kg)\nBangladesh(average 4.189e-08 kg/kg)\nAndorra(average 1.33e-07 kg/kg)\nAfghanistan(average 5.589e-08 kg/kg)\nMontenegro(average 4.443e-08 kg/kg)\nBosnia and Herzegovina(average 5.127e-08 kg/kg)\nUganda(average 4.197e-08 kg/kg)\nUS Naval Base Guantanamo Bay(average 8.833e-08 kg/kg)\nCuba(average 7.95e-08 kg/kg)\nHonduras(average 1.103e-07 kg/kg)\nEcuador(average 6.961e-08 kg/kg)\nColombia(average 7.75e-08 kg/kg)\nPortugal(average 1.01e-07 kg/kg)\nMoldova(average 1.155e-07 kg/kg)\nTurkmenistan(average 6.488e-08 kg/kg)\nJordan(average 4.806e-08 kg/kg)\nNepal(average 4.148e-08 kg/kg)\nCameroon(average 4.421e-08 kg/kg)\nGabon(average 1.884e-09 kg/kg)\nNiger(average 7.588e-08 kg/kg)\nBurkina Faso(average 7.034e-08 kg/kg)\nTogo(average 7.501e-08 kg/kg)\nGhana(average 6.716e-08 kg/kg)\nGuinea-Bissau(average 6.578e-08 kg/kg)\nGibraltar(average 9.733e-08 kg/kg)\nUnited States of America(average 5.934e-08 kg/kg)\nCanada(average 5.345e-08 kg/kg)\nMexico(average 8.218e-08 kg/kg)\nBelize(average 8.671e-08 kg/kg)\nPanama(average 7.787e-08 kg/kg)\nVenezuela(average 8.439e-08 kg/kg)\nPapua New Guinea(average 4.564e-08 kg/kg)\nEgypt(average 6.603e-08 kg/kg)\nYemen(average 8.862e-08 kg/kg)\nMauritania(average 7.498e-08 kg/kg)\nEquatorial Guinea(average 6.886e-09 kg/kg)\nGambia(average 6.746e-08 kg/kg)\nHong Kong S.A.R.(average 8.79e-08 kg/kg)\nVatican(average 6.935e-08 kg/kg)\nNorthern Cyprus(average 6.129e-08 kg/kg)\nCyprus No Mans Area(average 5.85e-08 kg/kg)\nSiachen Glacier(average 5.323e-08 kg/kg)\nBaykonur Cosmodrome(average 7.242e-08 kg/kg)\nAkrotiri Sovereign Base Area(average 5.85e-08 kg/kg)\nBir Tawil(average 1.116e-07 kg/kg)\nAustralia(average 7.71e-09 kg/kg)\nGreenland(average 8.137e-08 kg/kg)\nPhilippines(average 1.071e-07 kg/kg)\nSri Lanka(average 7.696e-08 kg/kg)\nCuraçao(average 1.059e-07 kg/kg)\nAruba(average 1.072e-07 kg/kg)\nThe Bahamas(average 6.868e-08 kg/kg)\nTurks and Caicos Islands(average 9.219e-08 kg/kg)\nTaiwan(average 8.111e-08 kg/kg)\nJapan(average 5.934e-08 kg/kg)\nSaint Pierre and Miquelon(average 6.584e-08 kg/kg)\nIceland(average 1.09e-07 kg/kg)\nKiribati(average 5.32e-08 kg/kg)\nMarshall Islands(average 1.123e-07 kg/kg)\nTrinidad and Tobago(average 1.088e-07 kg/kg)\nGrenada(average 1.205e-07 kg/kg)\nSaint Vincent and the Grenadines(average 1.208e-07 kg/kg)\nBarbados(average 1.334e-07 kg/kg)\nSaint Lucia(average 1.225e-07 kg/kg)\nDominica(average 8.459e-08 kg/kg)\nUnited States Minor Outlying Islands(average 7.11e-08 kg/kg)\nMontserrat(average 9.24e-08 kg/kg)\nAntigua and Barbuda(average 9.183e-08 kg/kg)\nSaint Kitts and Nevis(average 9.183e-08 kg/kg)\nUnited States Virgin Islands(average 8.588e-08 kg/kg)\nSaint Barthelemy(average 9.125e-08 kg/kg)\nPuerto Rico(average 8.874e-08 kg/kg)\nAnguilla(average 8.874e-08 kg/kg)\nBritish Virgin Islands(average 8.606e-08 kg/kg)\nJamaica(average 8.778e-08 kg/kg)\nCayman Islands(average 8.308e-08 kg/kg)\nBermuda(average 8.861e-08 kg/kg)\nSão Tomé and Principe(average 4.611e-09 kg/kg)\nCabo Verde(average 7.666e-08 kg/kg)\nMalta(average 6.305e-08 kg/kg)\nJersey(average 1.047e-07 kg/kg)\nGuernsey(average 1.047e-07 kg/kg)\nIsle of Man(average 8.108e-08 kg/kg)\nAland(average 6.619e-08 kg/kg)\nFaroe Islands(average 1.054e-07 kg/kg)\nSingapore(average 6.653e-08 kg/kg)\nMaldives(average 9.738e-08 kg/kg)\nNauru(average 8.915e-08 kg/kg)\nFederated States of Micronesia(average 1.175e-07 kg/kg)\nFalkland Islands(average 8.09e-10 kg/kg)\nPalau(average 8.141e-08 kg/kg)\nGuam(average 9.855e-08 kg/kg)\nNorthern Mariana Islands(average 1.003e-07 kg/kg)\nBahrain(average 8.106e-08 kg/kg)\nSpratly Islands(average 1.036e-07 kg/kg)\nClipperton Island(average 1.043e-07 kg/kg)\nMacao S.A.R(average 8.518e-08 kg/kg)\nBajo Nuevo Bank (Petrel Is.)(average 9.472e-08 kg/kg)\nSerranilla Bank(average 9.19e-08 kg/kg)\nScarborough Reef(average 1.476e-07 kg/kg)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"specific_humidity",
50
],
"geofeature": "country",
"climatology_timescale_desc": "six-hourly climatology for day 182 at 06 UTC",
"quantile": "0.9",
"min_duration_days": 3,
"true_value": [
"Indonesia",
"Malaysia",
"Chile",
"Peru",
"Argentina",
"Dhekelia Sovereign Base Area",
"Cyprus",
"India",
"China",
"Israel",
"Palestine",
"Lebanon",
"Ethiopia",
"South Sudan",
"Somalia",
"Kenya",
"Syria",
"Somaliland",
"France",
"Suriname",
"Guyana",
"South Korea",
"North Korea",
"Morocco",
"Western Sahara",
"Costa Rica",
"Nicaragua",
"Republic of the Congo",
"Democratic Republic of the Congo",
"Bhutan",
"Ukraine",
"Belarus",
"Saint Martin",
"Sint Maarten",
"Oman",
"Uzbekistan",
"Kazakhstan",
"Tajikistan",
"Lithuania",
"Brazil",
"Mongolia",
"Russia",
"Czechia",
"Germany",
"Estonia",
"Latvia",
"Norway",
"Sweden",
"Finland",
"Vietnam",
"Cambodia",
"Luxembourg",
"United Arab Emirates",
"Belgium",
"Georgia",
"North Macedonia",
"Albania",
"Azerbaijan",
"Kosovo",
"Turkey",
"Spain",
"Laos",
"Kyrgyzstan",
"Armenia",
"Denmark",
"Libya",
"Tunisia",
"Romania",
"Hungary",
"Slovakia",
"Poland",
"Ireland",
"United Kingdom",
"Greece",
"Sierra Leone",
"Guinea",
"Liberia",
"Central African Republic",
"Sudan",
"Djibouti",
"Eritrea",
"Austria",
"Iraq",
"Italy",
"Switzerland",
"Iran",
"Netherlands",
"Liechtenstein",
"Ivory Coast",
"Republic of Serbia",
"Mali",
"Senegal",
"Nigeria",
"Benin",
"Croatia",
"Slovenia",
"Qatar",
"Saudi Arabia",
"Pakistan",
"Bulgaria",
"Thailand",
"San Marino",
"Haiti",
"Dominican Republic",
"Chad",
"Kuwait",
"El Salvador",
"Guatemala",
"Brunei",
"Monaco",
"Algeria",
"Myanmar",
"Bangladesh",
"Andorra",
"Afghanistan",
"Montenegro",
"Bosnia and Herzegovina",
"Uganda",
"US Naval Base Guantanamo Bay",
"Cuba",
"Honduras",
"Ecuador",
"Colombia",
"Portugal",
"Moldova",
"Turkmenistan",
"Jordan",
"Nepal",
"Cameroon",
"Gabon",
"Niger",
"Burkina Faso",
"Togo",
"Ghana",
"Guinea-Bissau",
"Gibraltar",
"United States of America",
"Canada",
"Mexico",
"Belize",
"Panama",
"Venezuela",
"Papua New Guinea",
"Egypt",
"Yemen",
"Mauritania",
"Equatorial Guinea",
"Gambia",
"Hong Kong S.A.R.",
"Vatican",
"Northern Cyprus",
"Cyprus No Mans Area",
"Siachen Glacier",
"Baykonur Cosmodrome",
"Akrotiri Sovereign Base Area",
"Bir Tawil",
"Australia",
"Greenland",
"Philippines",
"Sri Lanka",
"Curaçao",
"Aruba",
"The Bahamas",
"Turks and Caicos Islands",
"Taiwan",
"Japan",
"Saint Pierre and Miquelon",
"Iceland",
"Kiribati",
"Marshall Islands",
"Trinidad and Tobago",
"Grenada",
"Saint Vincent and the Grenadines",
"Barbados",
"Saint Lucia",
"Dominica",
"United States Minor Outlying Islands",
"Montserrat",
"Antigua and Barbuda",
"Saint Kitts and Nevis",
"United States Virgin Islands",
"Saint Barthelemy",
"Puerto Rico",
"Anguilla",
"British Virgin Islands",
"Jamaica",
"Cayman Islands",
"Bermuda",
"São Tomé and Principe",
"Cabo Verde",
"Malta",
"Jersey",
"Guernsey",
"Isle of Man",
"Aland",
"Faroe Islands",
"Singapore",
"Maldives",
"Nauru",
"Federated States of Micronesia",
"Falkland Islands",
"Palau",
"Guam",
"Northern Mariana Islands",
"Bahrain",
"Spratly Islands",
"Clipperton Island",
"Macao S.A.R",
"Bajo Nuevo Bank (Petrel Is.)",
"Serranilla Bank",
"Scarborough Reef"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "98fceb625f8dc0e1",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "92769:92783:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '76248:76264:1'} The data starts from March 11 00:00 and ends on March 14 18:00. Based on the above data, answer the following question:",
"question": "Which country(s) have regions with (time-averaged) Geopotential at 850 hPa values running below the 10th percentile climatology for the all-time climatology? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
"response": "The following country(s) show Geopotential at 850 hPa values below the 10th percentile climatology for all-time climatology: Indonesia(average -26.3 m²/s²)\nEthiopia(average -7.322 m²/s²)\nSouth Sudan(average -17.34 m²/s²)\nKenya(average -16.43 m²/s²)\nUnited Republic of Tanzania(average -11.03 m²/s²)\nFrance(average -99.56 m²/s²)\nMorocco(average -464.1 m²/s²)\nWestern Sahara(average -304.4 m²/s²)\nRepublic of the Congo(average -49.49 m²/s²)\nDemocratic Republic of the Congo(average -24.75 m²/s²)\nNamibia(average -36.04 m²/s²)\nBrazil(average -88.61 m²/s²)\nRussia(average -470 m²/s²)\nNorway(average -274.1 m²/s²)\nSpain(average -422 m²/s²)\nSierra Leone(average -7.886 m²/s²)\nGuinea(average -9.75 m²/s²)\nLiberia(average -14.58 m²/s²)\nCentral African Republic(average -36.23 m²/s²)\nIvory Coast(average -25.97 m²/s²)\nMali(average -58.48 m²/s²)\nSenegal(average -19.56 m²/s²)\nNigeria(average -52.11 m²/s²)\nBenin(average -35.93 m²/s²)\nAngola(average -30.59 m²/s²)\nChad(average -13.95 m²/s²)\nEast Timor(average -28.47 m²/s²)\nAlgeria(average -215.2 m²/s²)\nBurundi(average -6.311 m²/s²)\nAndorra(average -51.82 m²/s²)\nUganda(average -22.73 m²/s²)\nPortugal(average -619.5 m²/s²)\nCameroon(average -61.44 m²/s²)\nGabon(average -61.27 m²/s²)\nNiger(average -11.48 m²/s²)\nBurkina Faso(average -26.42 m²/s²)\nTogo(average -47.29 m²/s²)\nGhana(average -39.61 m²/s²)\nGibraltar(average -627.7 m²/s²)\nUnited States of America(average -193.7 m²/s²)\nCanada(average -192.3 m²/s²)\nMauritania(average -145.9 m²/s²)\nEquatorial Guinea(average -68.8 m²/s²)\nAustralia(average -204.3 m²/s²)\nSaint Helena(average -26.64 m²/s²)\nSão Tomé and Principe(average -67.95 m²/s²)\nIndian Ocean Territories(average -102.5 m²/s²)\nAshmore and Cartier Islands(average -102.4 m²/s²)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "PWioGV",
"variable": [
"geopotential",
850
],
"geofeature": "country",
"climatology_timescale_desc": "all-time climatology",
"quantile": "0.1",
"threshold_direction": "below",
"true_value": [
"Indonesia",
"Ethiopia",
"South Sudan",
"Kenya",
"United Republic of Tanzania",
"France",
"Morocco",
"Western Sahara",
"Republic of the Congo",
"Democratic Republic of the Congo",
"Namibia",
"Brazil",
"Russia",
"Norway",
"Spain",
"Sierra Leone",
"Guinea",
"Liberia",
"Central African Republic",
"Ivory Coast",
"Mali",
"Senegal",
"Nigeria",
"Benin",
"Angola",
"Chad",
"East Timor",
"Algeria",
"Burundi",
"Andorra",
"Uganda",
"Portugal",
"Cameroon",
"Gabon",
"Niger",
"Burkina Faso",
"Togo",
"Ghana",
"Gibraltar",
"United States of America",
"Canada",
"Mauritania",
"Equatorial Guinea",
"Australia",
"Saint Helena",
"São Tomé and Principe",
"Indian Ocean Territories",
"Ashmore and Cartier Islands"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "c65daf2e77392f17",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "76248:76264:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 114 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '89951:89970:1'} The data starts from July 26 18:00 and ends on July 31 06:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 42 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 42 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 42 hours:\nA Tropical cyclone is expected in the country of Lao People's Democratic Republic in approximately the next 18 to 66 hours. Specifically the region(s) that might get affected are: Xayaboury Province\nA Tropical cyclone is expected in the country of Thailand in approximately the next 18 to 66 hours. Specifically the region(s) that might get affected are: Loei Province\nA Tropical cyclone is expected in the country of Puerto Rico in approximately the next 42 hours. Specifically the region(s) that might get affected are: Yauco, Jayuya, Mayagüez cities\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"Lao People's Democratic Republic",
"Thailand",
"Puerto Rico"
],
"extreme_event_hours": 42,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "ba1e78b08acf8241",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "89951:89970:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 132 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '49183:49205:1'} The data starts from August 30 18:00 and ends on September 05 00:00. Based on the above data, answer the following question:",
"question": "What will the maximum U (zonal) component of wind at 1000 hPa be in Marguerite Bay, 30 hours after the end of the given time window?",
"response": "Based on the provided data, the maximum U (zonal) component of wind at 1000 hPa in Marguerite Bay 30 hours after the given time window will be 0.8768 m/s.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "0.87680155",
"location": "Marguerite Bay",
"target_variable": "u_component_of_wind_1000",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "0f7aeba5d08babc0",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "49183:49205:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 90 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '89948:89963:1'} The data starts from July 26 00:00 and ends on July 29 12:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) are currently experiencing an exceedance in V (meridional) component of wind at 50 hPa values? An exceedance is defined as a period of at least 72 consecutive hours where the V (meridional) component of wind at 50 hPa values exceed the 95th percentile climatology for the monthly climatology for July.",
"response": "The following water body(s) are currently experiencing an exceedance in V (meridional) component of wind at 50 hPa: Arctic Ocean(average 0.1597 m/s)\nSOUTHERN OCEAN(average 1.213 m/s)\nSouth Pacific Ocean(average 1.685 m/s)\nSouth Atlantic Ocean(average 1.932 m/s)\nBeaufort Sea(average 0.1683 m/s)\nDrake Passage(average 3.307 m/s)\nThe North Western Passages(average 0.05389 m/s)\nAmundsen Gulf(average 0.08844 m/s)\nViscount Melville Sound(average 0.07483 m/s)\nM'Clure Strait(average 0.1298 m/s)\nEstrecho de Magellanes(average 1.524 m/s)\nPrince of Wales Strait(average 0.1395 m/s)\nMinto Inlet(average 0.1856 m/s)\nRichard Collinson Inlet(average 0.1508 m/s)\nPrince ALbert Sound(average 0.1845 m/s)\nLiddon Gulf(average 0.02194 m/s)\nWynniatt Bay(average 0.1155 m/s)\nSeno de Skyring(average 1.231 m/s)\nSeno Otway(average 1.524 m/s)\nBay Inútil(average 2.48 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"v_component_of_wind",
50
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for July",
"quantile": "0.95",
"min_duration_days": 3,
"true_value": [
"Arctic Ocean",
"SOUTHERN OCEAN",
"South Pacific Ocean",
"South Atlantic Ocean",
"Beaufort Sea",
"Drake Passage",
"The North Western Passages",
"Amundsen Gulf",
"Viscount Melville Sound",
"M'Clure Strait",
"Estrecho de Magellanes",
"Prince of Wales Strait",
"Minto Inlet",
"Richard Collinson Inlet",
"Prince ALbert Sound",
"Liddon Gulf",
"Wynniatt Bay",
"Seno de Skyring",
"Seno Otway",
"Bay Inútil"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "3200195c2a68792d",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "89948:89963:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '82860:82872:1'} The data starts from September 19 00:00 and ends on September 21 18:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) are currently experiencing an exceedance in Temperature at 600 hPa values? An exceedance is defined as a period of at least 72 consecutive hours where the Temperature at 600 hPa values exceed the 95th percentile climatology for the all-time climatology.",
"response": "The following water body(s) are currently experiencing an exceedance in Temperature at 600 hPa: North Atlantic Ocean(average 0.3842 K)\nNorth Pacific Ocean(average 0.4369 K)\nSouth Pacific Ocean(average 0.2128 K)\nINDIAN OCEAN(average 0.386 K)\nSouth Atlantic Ocean(average 0.1032 K)\nPhilippine Sea(average 1.13 K)\nArabian Sea(average 0.1567 K)\nGulf of Mexico(average 1.587 K)\nNorwegian Sea(average 1.196 K)\nGreenland Sea(average 0.05423 K)\nBarents Sea(average 0.6942 K)\nLaccadive Sea(average 0.1935 K)\nSea of Azov(average 0.3496 K)\nSolomon Sea(average 0.1336 K)\nLake Pontchartrain(average 0.661 K)\nSargasso Sea(average 0.4029 K)\nCoral Sea(average 0.08857 K)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"temperature",
600
],
"geofeature": "water_body",
"climatology_timescale_desc": "all-time climatology",
"quantile": "0.95",
"min_duration_days": 3,
"true_value": [
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Philippine Sea",
"Arabian Sea",
"Gulf of Mexico",
"Norwegian Sea",
"Greenland Sea",
"Barents Sea",
"Laccadive Sea",
"Sea of Azov",
"Solomon Sea",
"Lake Pontchartrain",
"Sargasso Sea",
"Coral Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "63e5384dd87b3d64",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "82860:82872:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 126 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '45497:45518:1'} The data starts from February 21 06:00 and ends on February 26 06:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 42 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 42 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 42 hours:\nA Storm (General) is expected in the country of Austria in approximately the next 42 to 66 hours\nA Storm (General) is expected in the country of Belgium in approximately the next 42 to 66 hours\nA Storm (General) is expected in the country of Switzerland in approximately the next 18 to 66 hours\nA Storm (General) is expected in the country of Germany in approximately the next 42 to 66 hours\nA Storm (General) is expected in the country of Denmark in approximately the next 42 to 66 hours\nA Storm (General) is expected in the country of France in approximately the next 42 to 66 hours\nA Storm (General) is expected in the country of United Kingdom of Great Britain and Northern Ireland in approximately the next 42 to 66 hours\nA Storm (General) is expected in the country of Greece in approximately the next 42 to 66 hours\nA Storm (General) is expected in the country of Italy in approximately the next 42 to 66 hours\nA Storm (General) is expected in the country of Luxembourg in approximately the next 42 to 66 hours\nA Storm (General) is expected in the country of Netherlands (Kingdom of the) in approximately the next 42 to 66 hours\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"Austria",
"Belgium",
"Switzerland",
"Germany",
"Denmark",
"France",
"United Kingdom of Great Britain and Northern Ireland",
"Greece",
"Italy",
"Luxembourg",
"Netherlands (Kingdom of the)"
],
"extreme_event_hours": 42,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "6a99ae6bea586800",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "45497:45518:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 78 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '58603:58616:1'} The data starts from February 10 18:00 and ends on February 13 18:00. Based on the above data, answer the following question:",
"question": "Based on the provided meteorological data, where is the Tropical Cyclone currently happening? Specify the affected countries or regions, or respond 'No Tropical Cyclone detected.'",
"response": "No Tropical Cyclone detected in the provided data.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "a7d6Lm",
"true_value": [],
"target_disaster": "Tropical Cyclone",
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "16a176ee50b56468",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "58603:58616:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 120 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '41533:41553:1'} The data starts from June 06 06:00 and ends on June 11 00:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 18 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 18 hours.'",
"response": "Based on the provided data, there is no extreme weather event expected within the next 18 hours.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [],
"extreme_event_hours": 18,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "4a67b32df1c4066e",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "41533:41553:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '75255:75267:1'} The data starts from July 05 18:00 and ends on July 08 12:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) have regions with (time-averaged) V (meridional) component of wind at 100 hPa values running above the 90th percentile climatology for the monthly climatology for July? Treat any region beyond that percentile as anomalous.",
"response": "The following water body(s) show V (meridional) component of wind at 100 hPa values above the 90th percentile climatology for monthly climatology for July: Arctic Ocean(average 0.445 m/s)\nSOUTHERN OCEAN(average 2.195 m/s)\nNorth Atlantic Ocean(average 0.5522 m/s)\nNorth Pacific Ocean(average 2.846 m/s)\nSouth Pacific Ocean(average 0.7341 m/s)\nINDIAN OCEAN(average 0.5339 m/s)\nSouth Atlantic Ocean(average 1.646 m/s)\nPhilippine Sea(average 2.451 m/s)\nBay of Bengal(average 1.735 m/s)\nSouth China Sea(average 1.022 m/s)\nHudson Bay(average 2.344 m/s)\nGulf of Alaska(average 3.396 m/s)\nSea of Okhotsk(average 3.113 m/s)\nWeddell Sea(average 3.372 m/s)\nNorwegian Sea(average 0.7601 m/s)\nBaltic Sea(average 0.5179 m/s)\nNorth Sea(average 0.4375 m/s)\nInner Seas(average 0.222 m/s)\nAndaman Sea(average 1.276 m/s)\nEast China Sea(average 0.5186 m/s)\nGulf of Thailand(average 1.061 m/s)\nLaptev Sea(average 1.11 m/s)\nJames Bay(average 3.432 m/s)\nHudson Strait(average 0.6454 m/s)\nGulf of Bothnia(average 0.9644 m/s)\nInner Sea(average 1.757 m/s)\nCook Inlet(average 1.997 m/s)\nBristol Bay(average 0.6077 m/s)\nEast Siberian Sea(average 0.6551 m/s)\nVestfjorden(average 0.1182 m/s)\nSkagerrak(average 0.5618 m/s)\nSognefjorden(average 0.592 m/s)\nTrondheimsfjorden(average 0.7167 m/s)\nKattegat(average 0.4792 m/s)\nUda Bay(average 2.988 m/s)\nUchiura Bay(average 6.363 m/s)\nTsugaru Strait(average 6.381 m/s)\nTatar Strait(average 2.583 m/s)\nFoxe Basin(average 0.5742 m/s)\nGulf of Yana(average 1.733 m/s)\nDmitriy Laptev Strait(average 1.486 m/s)\nLa Pérouse Strait(average 4.928 m/s)\nGulf of Olen‘k(average 0.9554 m/s)\nPrince William Sound(average 2.827 m/s)\nBoknafjorden(average 0.3554 m/s)\nGulf of Martaban(average 1.069 m/s)\nGulf of Sakhalin(average 2.611 m/s)\nWager Bay(average 0.2599 m/s)\nOzero Mogotoyevo(average 0.7896 m/s)\nGuba Gusinaya(average 0.5481 m/s)\nSea of Japan(average 3.625 m/s)\nKorea Strait(average 0.4689 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "PWioGV",
"variable": [
"v_component_of_wind",
100
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for July",
"quantile": "0.9",
"threshold_direction": "above",
"true_value": [
"Arctic Ocean",
"SOUTHERN OCEAN",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Philippine Sea",
"Bay of Bengal",
"South China Sea",
"Hudson Bay",
"Gulf of Alaska",
"Sea of Okhotsk",
"Weddell Sea",
"Norwegian Sea",
"Baltic Sea",
"North Sea",
"Inner Seas",
"Andaman Sea",
"East China Sea",
"Gulf of Thailand",
"Laptev Sea",
"James Bay",
"Hudson Strait",
"Gulf of Bothnia",
"Inner Sea",
"Cook Inlet",
"Bristol Bay",
"East Siberian Sea",
"Vestfjorden",
"Skagerrak",
"Sognefjorden",
"Trondheimsfjorden",
"Kattegat",
"Uda Bay",
"Uchiura Bay",
"Tsugaru Strait",
"Tatar Strait",
"Foxe Basin",
"Gulf of Yana",
"Dmitriy Laptev Strait",
"La Pérouse Strait",
"Gulf of Olen‘k",
"Prince William Sound",
"Boknafjorden",
"Gulf of Martaban",
"Gulf of Sakhalin",
"Wager Bay",
"Ozero Mogotoyevo",
"Guba Gusinaya",
"Sea of Japan",
"Korea Strait"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "0c2e9b29d42d109e",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "75255:75267:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 102 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '48906:48923:1'} The data starts from June 22 12:00 and ends on June 26 12:00. Based on the above data, answer the following question:",
"question": "What will the average 10-meter U component of wind be in Aland, 36 hours after the end of the given time window?",
"response": "Based on the provided data, the average 10-meter U component of wind in Aland 36 hours after the given time window will be 5.253 m/s.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "5.253295",
"location": "Aland",
"target_variable": "10m_u_component_of_wind",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "8d9d05d0a744a9cf",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "48906:48923:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 126 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '46102:46123:1'} The data starts from July 22 12:00 and ends on July 27 12:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 36 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 36 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 36 hours:\nA Storm (General) is expected in the country of Switzerland in approximately the next 36 hours\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"Switzerland"
],
"extreme_event_hours": 36,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "7db3e4b87f12274a",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "46102:46123:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 84 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '82822:82836:1'} The data starts from September 09 12:00 and ends on September 12 18:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 30 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 30 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 30 hours:\nA Tropical cyclone is expected in the country of Viet Nam in approximately the next 30 hours. Specifically the region(s) that might get affected are: Da Nang, Quang Nam (Duy Xuyen, Nong Son districts), Quand Ngai (Ly Son District), Thanh Hoa\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"Viet Nam"
],
"extreme_event_hours": 30,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "74903e70c2ac28cc",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "82822:82836:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '72007:72023:1'} The data starts from April 14 18:00 and ends on April 18 12:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) are currently experiencing an exceedance in 10-meter U component of wind values? An exceedance is defined as a period of at least 96 consecutive hours where the 10-meter U component of wind values exceed the 90th percentile climatology for the monthly climatology for April.",
"response": "The following water body(s) are currently experiencing an exceedance in 10-meter U component of wind: SOUTHERN OCEAN(average 0.601 m/s)\nNorth Atlantic Ocean(average 1.383 m/s)\nNorth Pacific Ocean(average 1.942 m/s)\nSouth Pacific Ocean(average 0.5503 m/s)\nINDIAN OCEAN(average 0.3459 m/s)\nSouth Atlantic Ocean(average 1.193 m/s)\nArabian Sea(average 0.3694 m/s)\nLabrador Sea(average 1.007 m/s)\nGulf of Alaska(average 1.832 m/s)\nNorwegian Sea(average 0.1145 m/s)\nGreenland Sea(average 0.1844 m/s)\nGulf of Aden(average 0.4095 m/s)\nGulf of Saint Lawrence(average 0.6428 m/s)\nCook Inlet(average 0.5826 m/s)\nHamilton Inlet(average 0.3403 m/s)\nNorton Sound(average 0.1499 m/s)\nStrait of Belle Isle(average 1.291 m/s)\nPrince William Sound(average 0.5027 m/s)\nDenmark Strait(average 0.1714 m/s)\nSmith Sound(average 0.02638 m/s)\nQueen Charlotte Strait(average 0.2623 m/s)\nHecate Strait(average 0.5501 m/s)\nSargasso Sea(average 0.6287 m/s)\nSalish Sea(average 0.2444 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"10m_u_component_of_wind",
null
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for April",
"quantile": "0.9",
"min_duration_days": 4,
"true_value": [
"SOUTHERN OCEAN",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Arabian Sea",
"Labrador Sea",
"Gulf of Alaska",
"Norwegian Sea",
"Greenland Sea",
"Gulf of Aden",
"Gulf of Saint Lawrence",
"Cook Inlet",
"Hamilton Inlet",
"Norton Sound",
"Strait of Belle Isle",
"Prince William Sound",
"Denmark Strait",
"Smith Sound",
"Queen Charlotte Strait",
"Hecate Strait",
"Sargasso Sea",
"Salish Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "bf8ae2384bae9542",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "72007:72023:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '30184:30200:1'} The data starts from August 30 00:00 and ends on September 02 18:00. Based on the above data, answer the following question:",
"question": "In the 30 hours after the end of the given time window, when will Trondheimsfjorden experience its highest Surface temperature? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, Trondheimsfjorden will experience its highest Surface temperature of 286.1 K 18 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 18,
"location": "Trondheimsfjorden",
"extremum_value": "286.07257",
"target_variable": "2m_temperature",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "b21f12e850fd1523",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "30184:30200:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 90 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '85773:85788:1'} The data starts from September 16 06:00 and ends on September 19 18:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) V (meridional) component of wind at 400 hPa differs from the monthly climatology for September mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below V (meridional) component of wind at 400 hPa values.",
"response": "Based on the provided data, no significant V (meridional) component of wind at 400 hPa anomalies were detected relative to the monthly climatology for September baseline.",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"v_component_of_wind",
400
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for September",
"sigma_threshold": 3,
"threshold_direction": "below",
"true_value": [],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "06b8ba049de21b3e",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "85773:85788:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 78 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '68563:68576:1'} The data starts from December 05 18:00 and ends on December 08 18:00. Based on the above data, answer the following question:",
"question": "Which country(s) are currently experiencing an exceedance in U (zonal) component of wind at 100 hPa values? An exceedance is defined as a period of at least 72 consecutive hours where the U (zonal) component of wind at 100 hPa values exceed the 99th percentile climatology for the six-hourly climatology for day 339 at 18 UTC. Please provide the name of the specific country(s) with the anomaly.",
"response": "The following country(s) are currently experiencing an exceedance in U (zonal) component of wind at 100 hPa: Ethiopia(average 0.05456 m/s)\nSomalia(average 0.04664 m/s)\nRussia(average 2.018 m/s)\nUnited States of America(average 3.82 m/s)\nAustralia(average 1.65 m/s)\nJapan(average 2.43 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"u_component_of_wind",
100
],
"geofeature": "country",
"climatology_timescale_desc": "six-hourly climatology for day 339 at 18 UTC",
"quantile": "0.99",
"min_duration_days": 3,
"true_value": [
"Ethiopia",
"Somalia",
"Russia",
"United States of America",
"Australia",
"Japan"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "652396b39e5cb45d",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "68563:68576:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 36 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '67227:67233:1'} The data starts from January 05 18:00 and ends on January 07 00:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Extra-tropical storm is occuring in the country of Estonia. Specifically the region(s) being affected are: Pärnu (Pärnu linn district, Pärnu Maakond province); Lääne-Eesti\nA Extra-tropical storm is occuring in the country of United Kingdom of Great Britain and Northern Ireland. Specifically the region(s) being affected are: Appleby, Longtown, Shap,Carlisle towns (Cumbria district, England province), West Yorkshire district (England province), North Yorkshire district (England province), Haydon Brige town (Northumberland district, England province), Peebles, Jedburgh towns (Borders district, Scotland province), Grampian district (Scotland province), Wales province\nA Extra-tropical storm is occuring in the country of Ireland. Specifically the region(s) being affected are: Dublin, Kildare, Laois, Longford, Meath, Offaly, Westmeath, Wicklow provinces\nA Extra-tropical storm is occuring in the country of Poland. Specifically the region(s) being affected are: Gdansk district (Pomorskie province)\nA Extra-tropical storm is occuring in the country of Russian Federation. Specifically the region(s) being affected are: Sankt-peterburg province\nA Extra-tropical storm is occuring in the country of Sweden. Specifically the region(s) being affected are: Blekinge Laen, Dalarnas Laen, Gaevleborgs Laen, Gotlands Laen, Hallands Laen, Jaemtlands Laen, Joenkoepings Laen, Kalmar Laen, Kronobergs Laen, Norrbottens Laen, Oerebro Laen, Oestergoetlands Laen, Skaane Laen, Soedermanlands Laen, Stockholms Laen, Uppsala Laen, Vaermlands Laen, Vaesterbottens Laen, Vaesternorrlands Laen, Vaestmanlands Laen, Vaestra Goetalands Laen provinces\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [
"Estonia",
"United Kingdom of Great Britain and Northern Ireland",
"Ireland",
"Poland",
"Russian Federation",
"Sweden"
],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "a71bd91f5457898a",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "67227:67233:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 132 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '86506:86528:1'} The data starts from March 18 12:00 and ends on March 23 18:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) U (zonal) component of wind at 1000 hPa differs from the six-hourly climatology for day 77 at 12 UTC mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above U (zonal) component of wind at 1000 hPa values.",
"response": "These water body(s) exceed the ±3σ anomaly threshold for U (zonal) component of wind at 1000 hPa relative to the six-hourly climatology for day 77 at 12 UTC mean: North Pacific Ocean(average 5.699 m/s)\nSouth Pacific Ocean(average 1.148 m/s)\nBay of Bengal(average 2.088 m/s)\nMolucca Sea(average 3.501 m/s)\nGulf of Buli(average 3.501 m/s)\nGulf of Kau(average 3.501 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"u_component_of_wind",
1000
],
"geofeature": "water_body",
"climatology_timescale_desc": "six-hourly climatology for day 77 at 12 UTC",
"sigma_threshold": 3,
"threshold_direction": "above",
"true_value": [
"North Pacific Ocean",
"South Pacific Ocean",
"Bay of Bengal",
"Molucca Sea",
"Gulf of Buli",
"Gulf of Kau"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "b1aabf88e2064078",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "86506:86528:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 132 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '43108:43130:1'} The data starts from July 04 00:00 and ends on July 09 06:00. Based on the above data, answer the following question:",
"question": "What will the average Mean sea level pressure be in Antarctica, 12 hours after the end of the given time window?",
"response": "Based on the provided data, the average Mean sea level pressure in Antarctica 12 hours after the given time window will be 1.002e+05 Pa.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "100187.28",
"location": "Antarctica",
"target_variable": "mean_sea_level_pressure",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "fd76353dd513d7b5",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "43108:43130:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 12 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '79979:79981:1'} The data starts from September 28 18:00 and ends on September 29 00:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 24 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 24 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 24 hours:\nA Tropical cyclone is expected in the country of China in approximately the next 24 hours. Specifically the region(s) that might get affected are: Hainan Sheng, Guangdong Sheng provinces\nA Tropical cyclone is expected in the country of Viet Nam in approximately the next 24 to 384 hours. Specifically the region(s) that might get affected are: Binh Dinh, Quang Binh, Quang Nam, Quang Ngai, Ha Tinh, Quang Tri, Thua Thien - Hue, Khanh Hoa, Nghe An, Da Nang City, Phu Yen, Thanh Hoa provinces\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"China",
"Viet Nam"
],
"extreme_event_hours": 24,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "a80f08c8e4309f14",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "79979:79981:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 66 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '66516:66527:1'} The data starts from July 12 00:00 and ends on July 14 12:00. Based on the above data, answer the following question:",
"question": "In the 24 hours after the end of the given time window, when will Asia experience its lowest 10-meter U component of wind? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, Asia will experience its lowest 10-meter U component of wind of -10.84 m/s 18 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 18,
"location": "Asia",
"extremum_value": "-10.844136",
"target_variable": "10m_u_component_of_wind",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "ff67bdb70a89d6dd",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "66516:66527:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '84797:84813:1'} The data starts from January 15 06:00 and ends on January 19 00:00. Based on the above data, answer the following question:",
"question": "Which country(s) are currently experiencing an exceedance in U (zonal) component of wind at 250 hPa values? An exceedance is defined as a period of at least 72 consecutive hours where the U (zonal) component of wind at 250 hPa values exceed the 99th percentile climatology for the daily climatology for day 15. Please provide the name of the specific country(s) with the anomaly.",
"response": "The following country(s) are currently experiencing an exceedance in U (zonal) component of wind at 250 hPa: China(average 0.6151 m/s)\nCanada(average 2.602 m/s)\nAustralia(average 6.998 m/s)\nMadagascar(average 1.539 m/s)\nSeychelles(average 1.009 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"u_component_of_wind",
250
],
"geofeature": "country",
"climatology_timescale_desc": "daily climatology for day 15",
"quantile": "0.99",
"min_duration_days": 3,
"true_value": [
"China",
"Canada",
"Australia",
"Madagascar",
"Seychelles"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "cd7de04a0212c7cc",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "84797:84813:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 54 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '74456:74465:1'} The data starts from December 18 00:00 and ends on December 20 00:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) are currently experiencing an exceedance in Geopotential at 50 hPa values? An exceedance is defined as a period of at least 48 consecutive hours where the Geopotential at 50 hPa values exceed the 90th percentile climatology for the monthly climatology for December.",
"response": "The following water body(s) are currently experiencing an exceedance in Geopotential at 50 hPa: North Atlantic Ocean(average 142.8 m²/s²)\nLabrador Sea(average 167.8 m²/s²)\nSea of Okhotsk(average 493.2 m²/s²)\nKara Sea(average 379.2 m²/s²)\nLaptev Sea(average 1081 m²/s²)\nGulf of Saint Lawrence(average 112.4 m²/s²)\nBay of Fundy(average 5.141 m²/s²)\nVil'kitskogo Strait(average 597.8 m²/s²)\nUda Bay(average 1095 m²/s²)\nTatar Strait(average 452.4 m²/s²)\nGulf of Yana(average 790.9 m²/s²)\nGulf of Olen‘k(average 1614 m²/s²)\nStrait of Belle Isle(average 74.39 m²/s²)\nGulf of Sakhalin(average 591.3 m²/s²)\nKhatanga Gulf(average 1594 m²/s²)\nBras d'Or Lake(average 77.77 m²/s²)\nSea of Japan(average 203.1 m²/s²)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"geopotential",
50
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for December",
"quantile": "0.9",
"min_duration_days": 2,
"true_value": [
"North Atlantic Ocean",
"Labrador Sea",
"Sea of Okhotsk",
"Kara Sea",
"Laptev Sea",
"Gulf of Saint Lawrence",
"Bay of Fundy",
"Vil'kitskogo Strait",
"Uda Bay",
"Tatar Strait",
"Gulf of Yana",
"Gulf of Olen‘k",
"Strait of Belle Isle",
"Gulf of Sakhalin",
"Khatanga Gulf",
"Bras d'Or Lake",
"Sea of Japan"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "3a5fed2108f401cb",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "74456:74465:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 150 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87365:87390:1'} The data starts from October 19 06:00 and ends on October 25 06:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) 10-meter U component of wind differs from the daily climatology for day 292 mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously below 10-meter U component of wind values.",
"response": "Based on the provided data, no significant 10-meter U component of wind anomalies were detected relative to the daily climatology for day 292 baseline.",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"10m_u_component_of_wind",
null
],
"geofeature": "water_body",
"climatology_timescale_desc": "daily climatology for day 292",
"sigma_threshold": 3,
"threshold_direction": "below",
"true_value": [],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "923014859ee15c77",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "87365:87390:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 60 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '87699:87709:1'} The data starts from January 10 18:00 and ends on January 13 00:00. Based on the above data, answer the following question:",
"question": "Based on the provided meteorological data, where is the Severe Weather currently happening? Specify the affected countries or regions, or respond 'No Severe Weather detected.'",
"response": "Based on the provided data, the Severe Weather is affecting: Lebanon",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "a7d6Lm",
"true_value": [
"Lebanon"
],
"target_disaster": "Severe Weather",
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "4008a4ba8db45a3d",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "87699:87709:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 78 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '34085:34098:1'} The data starts from May 01 06:00 and ends on May 04 06:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of Myanmar. Specifically the region(s) being affected are: South West\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [
"Myanmar"
],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "8d3c6635fd5c7591",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "34085:34098:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '51646:51674:1'} The data starts from May 08 12:00 and ends on May 15 06:00. Based on the above data, answer the following question:",
"question": "What will the maximum Mean sea level pressure be in Melville Bay, 24 hours after the end of the given time window?",
"response": "Based on the provided data, the maximum Mean sea level pressure in Melville Bay 24 hours after the given time window will be 1.034e+05 Pa.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "103374.26",
"location": "Melville Bay",
"target_variable": "mean_sea_level_pressure",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "ab63b48271df3c31",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "51646:51674:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 132 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '82528:82550:1'} The data starts from June 28 00:00 and ends on July 03 06:00. Based on the above data, answer the following question:",
"question": "Which country(s) are currently experiencing an exceedance in 10-meter V component of wind values? An exceedance is defined as a period of at least 120 consecutive hours where the 10-meter V component of wind values exceed the 90th percentile climatology for the six-hourly climatology for day 179 at 00 UTC. Please provide the name of the specific country(s) with the anomaly.",
"response": "The following country(s) are currently experiencing an exceedance in 10-meter V component of wind: Indonesia(average 0.8596 m/s)\nChile(average 0.512 m/s)\nArgentina(average 0.5263 m/s)\nIndia(average 0.3468 m/s)\nChina(average 0.4046 m/s)\nEthiopia(average 0.2901 m/s)\nSomalia(average 0.2901 m/s)\nKenya(average 0.2901 m/s)\nSyria(average 0.1076 m/s)\nFrance(average 0.2585 m/s)\nMorocco(average 0.2565 m/s)\nBhutan(average 0.2748 m/s)\nUkraine(average 0.3109 m/s)\nKazakhstan(average 0.3273 m/s)\nBrazil(average 0.3362 m/s)\nMongolia(average 0.4345 m/s)\nRussia(average 0.2618 m/s)\nNorway(average 0.2616 m/s)\nSweden(average 0.272 m/s)\nGeorgia(average 0.2743 m/s)\nAzerbaijan(average 0.2743 m/s)\nTurkey(average 0.4758 m/s)\nSpain(average 0.2263 m/s)\nArmenia(average 0.2743 m/s)\nLibya(average 0.5457 m/s)\nIreland(average 1.245 m/s)\nUnited Kingdom(average 0.5499 m/s)\nSierra Leone(average 0.04498 m/s)\nGuinea(average 0.04498 m/s)\nSudan(average 0.3215 m/s)\nIraq(average 0.565 m/s)\nIran(average 1.068 m/s)\nAngola(average 0.05543 m/s)\nSaudi Arabia(average 0.953 m/s)\nPakistan(average 1.18 m/s)\nBangladesh(average 0.3693 m/s)\nAfghanistan(average 0.8475 m/s)\nEcuador(average 0.4123 m/s)\nColombia(average 0.2554 m/s)\nTurkmenistan(average 0.03197 m/s)\nJordan(average 0.8329 m/s)\nNepal(average 0.5229 m/s)\nCanada(average 0.678 m/s)\nVenezuela(average 0.326 m/s)\nPapua New Guinea(average 2.459 m/s)\nAustralia(average 0.1612 m/s)\nFiji(average 0.8016 m/s)\nThe Bahamas(average 0.2161 m/s)\nKiribati(average 0.3429 m/s)\nUnited States Minor Outlying Islands(average 0.3093 m/s)\nBermuda(average 1.537 m/s)\nTonga(average 0.8409 m/s)\nWallis and Futuna(average 1.719 m/s)\nSamoa(average 0.5774 m/s)\nSolomon Islands(average 3.066 m/s)\nFederated States of Micronesia(average 1.491 m/s)\nAmerican Samoa(average 0.4419 m/s)\nPalau(average 2.668 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"10m_v_component_of_wind",
null
],
"geofeature": "country",
"climatology_timescale_desc": "six-hourly climatology for day 179 at 00 UTC",
"quantile": "0.9",
"min_duration_days": 5,
"true_value": [
"Indonesia",
"Chile",
"Argentina",
"India",
"China",
"Ethiopia",
"Somalia",
"Kenya",
"Syria",
"France",
"Morocco",
"Bhutan",
"Ukraine",
"Kazakhstan",
"Brazil",
"Mongolia",
"Russia",
"Norway",
"Sweden",
"Georgia",
"Azerbaijan",
"Turkey",
"Spain",
"Armenia",
"Libya",
"Ireland",
"United Kingdom",
"Sierra Leone",
"Guinea",
"Sudan",
"Iraq",
"Iran",
"Angola",
"Saudi Arabia",
"Pakistan",
"Bangladesh",
"Afghanistan",
"Ecuador",
"Colombia",
"Turkmenistan",
"Jordan",
"Nepal",
"Canada",
"Venezuela",
"Papua New Guinea",
"Australia",
"Fiji",
"The Bahamas",
"Kiribati",
"United States Minor Outlying Islands",
"Bermuda",
"Tonga",
"Wallis and Futuna",
"Samoa",
"Solomon Islands",
"Federated States of Micronesia",
"American Samoa",
"Palau"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "c01982cb57da84fc",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "82528:82550:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 120 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '78635:78655:1'} The data starts from October 27 18:00 and ends on November 01 12:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of China. Specifically the region(s) being affected are: Hainan Sheng, Guangxi Zhuangzu Zizhiqu provinces\nA Tropical cyclone is occuring in the country of Viet Nam. Specifically the region(s) being affected are: Nghe An, Thanh Hoa, Ninh Binh, Nam Dinh, Thai Binh, Hai Phong City provinces\nA Tropical cyclone is occuring in the country of United States of America. Specifically the region(s) being affected are: New York, New Jersey, Pennsylvania, Connecticut, Ohio, Delaware, Rhode Island, Maryland, Massachusetts, Maine, New Hampshire, North Carolina, Vermont, Virginia, District of Columbia, West Virginia provinces\nA Severe weather is occuring in the country of Argentina. Specifically the region(s) being affected are: Buenos Aires, Buenos Aires D.f. provinces\nA Tropical cyclone is occuring in the country of Sri Lanka. Specifically the region(s) being affected are: Central, Eastern, North Central, North Western, Northern, Sabaragamuwa, Southern, Uva, Western provinces\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [
"China",
"Viet Nam",
"United States of America",
"Argentina",
"Sri Lanka"
],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "1ecaea9cf09668ad",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "78635:78655:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 108 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '45833:45851:1'} The data starts from May 16 06:00 and ends on May 20 12:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 36 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 36 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 36 hours:\nA Severe weather is expected in the country of Austria in approximately the next 36 hours\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"Austria"
],
"extreme_event_hours": 36,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "471907b5804f0df7",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "45833:45851:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 150 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '89128:89153:1'} The data starts from January 03 00:00 and ends on January 09 00:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) Surface temperature differs from the all-time climatology mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above Surface temperature values. Please provide the name of the specific country(s) with the anomaly.",
"response": "Based on the provided data, no significant Surface temperature anomalies were detected relative to the all-time climatology baseline.",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"2m_temperature",
null
],
"geofeature": "country",
"climatology_timescale_desc": "all-time climatology",
"sigma_threshold": 3,
"threshold_direction": "above",
"true_value": [],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "a1a0542261e9b66f",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "89128:89153:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 102 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '86083:86100:1'} The data starts from December 02 18:00 and ends on December 06 18:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) 10-meter U component of wind lies outside the climatological 1st–90th percentile envelope for the daily climatology for day 336. Regions outside that envelope are anomalous. Please provide the name of the specific country(s) with the anomaly.",
"response": "These country(s) fall outside the 1st–90th percentile envelope for 10-meter U component of wind during daily climatology for day 336: Indonesia(average 0.4548 m/s)\nBolivia(average 0.128 m/s)\nIndia(average 1.106 m/s)\nChina(average 0.417 m/s)\nSyria(average 0.3451 m/s)\nUkraine(average 0.4157 m/s)\nOman(average 0.2816 m/s)\nKazakhstan(average 0.02226 m/s)\nTajikistan(average 0.05729 m/s)\nBrazil(average 0.8911 m/s)\nRussia(average -0.9407 m/s)\nCzechia(average 0.1347 m/s)\nGermany(average 0.03762 m/s)\nNorway(average -1.952 m/s)\nNorth Macedonia(average 0.3888 m/s)\nAlbania(average 0.6356 m/s)\nTurkey(average 0.2648 m/s)\nKyrgyzstan(average 0.03393 m/s)\nRomania(average 0.42 m/s)\nHungary(average 0.478 m/s)\nSlovakia(average 0.3513 m/s)\nGreece(average 0.3535 m/s)\nAustria(average 0.1347 m/s)\nIraq(average 0.2723 m/s)\nItaly(average 0.5181 m/s)\nRepublic of Serbia(average 0.2419 m/s)\nNigeria(average 0.1305 m/s)\nCroatia(average 0.2798 m/s)\nSaudi Arabia(average 0.201 m/s)\nPakistan(average 0.1357 m/s)\nBulgaria(average 0.3309 m/s)\nAlgeria(average -0.2253 m/s)\nAfghanistan(average 0.05729 m/s)\nJordan(average 0.3451 m/s)\nCanada(average 0.3447 m/s)\nPapua New Guinea(average 1.114 m/s)\nYemen(average 0.2992 m/s)\nAustralia(average 1.027 m/s)\nGreenland(average 0.196 m/s)\nFiji(average 1.716 m/s)\nSeychelles(average 2.962 m/s)\nIndian Ocean Territories(average 2.033 m/s)\nCook Islands(average 0.5095 m/s)\nTonga(average 0.6871 m/s)\nSolomon Islands(average 0.8062 m/s)\nMaldives(average 1.002 m/s)\nNiue(average 0.8206 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"10m_u_component_of_wind",
null
],
"geofeature": "country",
"climatology_timescale_desc": "daily climatology for day 336",
"lower_quantile": "0.01",
"upper_quantile": "0.9",
"true_value": [
"Indonesia",
"Bolivia",
"India",
"China",
"Syria",
"Ukraine",
"Oman",
"Kazakhstan",
"Tajikistan",
"Brazil",
"Russia",
"Czechia",
"Germany",
"Norway",
"North Macedonia",
"Albania",
"Turkey",
"Kyrgyzstan",
"Romania",
"Hungary",
"Slovakia",
"Greece",
"Austria",
"Iraq",
"Italy",
"Republic of Serbia",
"Nigeria",
"Croatia",
"Saudi Arabia",
"Pakistan",
"Bulgaria",
"Algeria",
"Afghanistan",
"Jordan",
"Canada",
"Papua New Guinea",
"Yemen",
"Australia",
"Greenland",
"Fiji",
"Seychelles",
"Indian Ocean Territories",
"Cook Islands",
"Tonga",
"Solomon Islands",
"Maldives",
"Niue"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "99a47a351d13b05e",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "86083:86100:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 120 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '71330:71350:1'} The data starts from October 28 12:00 and ends on November 02 06:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) Temperature at 150 hPa differs from the monthly climatology for October mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above Temperature at 150 hPa values.",
"response": "These water body(s) exceed the ±3σ anomaly threshold for Temperature at 150 hPa relative to the monthly climatology for October mean: South Pacific Ocean(average 3.371 K)\nCoral Sea(average 3.348 K)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"temperature",
150
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for October",
"sigma_threshold": 3,
"threshold_direction": "above",
"true_value": [
"South Pacific Ocean",
"Coral Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "9e6609dc2e524357",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "71330:71350:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 126 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '56349:56370:1'} The data starts from July 27 06:00 and ends on August 01 06:00. Based on the above data, answer the following question:",
"question": "In the 30 hours after the end of the given time window, when will Dardanelles experience its highest Specific humidity at 925 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, Dardanelles will experience its highest Specific humidity at 925 hPa of 0.01092 kg/kg 12 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 12,
"location": "Dardanelles",
"extremum_value": "0.010919136",
"target_variable": "specific_humidity_925",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "89222a293f79609d",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "56349:56370:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 60 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '82665:82675:1'} The data starts from August 01 06:00 and ends on August 03 12:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) Temperature at 600 hPa lies outside the climatological 1st–95th percentile envelope for the monthly climatology for August. Regions outside that envelope are anomalous.",
"response": "These water body(s) fall outside the 1st–95th percentile envelope for Temperature at 600 hPa during monthly climatology for August: Arctic Ocean(average 1.53 K)\nSOUTHERN OCEAN(average -0.2625 K)\nNorth Atlantic Ocean(average 0.4675 K)\nNorth Pacific Ocean(average 0.203 K)\nSouth Pacific Ocean(average 0.2984 K)\nINDIAN OCEAN(average 0.9185 K)\nSouth Atlantic Ocean(average 0.2661 K)\nBlack Sea(average 0.9 K)\nPhilippine Sea(average 0.1571 K)\nTasman Sea(average 0.07684 K)\nHudson Bay(average 0.5068 K)\nCaspian Sea(average 0.1805 K)\nGreenland Sea(average 1.264 K)\nBanda Sea(average 0.3545 K)\nGulf of Guinea(average 0.3056 K)\nBarents Sea(average 1.959 K)\nChukchi Sea(average 0.9064 K)\nArafura Sea(average 0.3535 K)\nTimor Sea(average 0.1753 K)\nDavis Strait(average 0.3403 K)\nKara Sea(average 1.178 K)\nSea of Azov(average 0.1835 K)\nHudson Strait(average 0.755 K)\nMolucca Sea(average 0.007843 K)\nBismarck Sea(average 0.1877 K)\nSolomon Sea(average 0.3231 K)\nCeram Sea(average 0.4013 K)\nBering Sea(average 0.7465 K)\nEast Siberian Sea(average 0.4142 K)\nCumberland Sound(average 0.6305 K)\nFrobisher Bay(average 0.6026 K)\nStorfjorden(average 0.8916 K)\nKotzebue Sound(average 0.6682 K)\nGulf of Boothia(average 0.4482 K)\nFoxe Basin(average 1.249 K)\nGulf of Papua(average 0.2475 K)\nAlboran Sea(average 0.1523 K)\nBight of Benin(average 0.2741 K)\nChaun Bay(average 0.1791 K)\nGulf of Ob(average 0.815 K)\nYenisey Gulf(average 0.835 K)\nWager Bay(average 0.3657 K)\nFury and Hecla Strait(average 0.8616 K)\nHalmahera Sea(average 0.1504 K)\nSelat Dampier(average 0.1699 K)\nGulf of Buli(average 0.01492 K)\nGulf of Anadyr'(average 1.263 K)\nMediterranean Sea(average 0.1153 K)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"temperature",
600
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for August",
"lower_quantile": "0.01",
"upper_quantile": "0.95",
"true_value": [
"Arctic Ocean",
"SOUTHERN OCEAN",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Black Sea",
"Philippine Sea",
"Tasman Sea",
"Hudson Bay",
"Caspian Sea",
"Greenland Sea",
"Banda Sea",
"Gulf of Guinea",
"Barents Sea",
"Chukchi Sea",
"Arafura Sea",
"Timor Sea",
"Davis Strait",
"Kara Sea",
"Sea of Azov",
"Hudson Strait",
"Molucca Sea",
"Bismarck Sea",
"Solomon Sea",
"Ceram Sea",
"Bering Sea",
"East Siberian Sea",
"Cumberland Sound",
"Frobisher Bay",
"Storfjorden",
"Kotzebue Sound",
"Gulf of Boothia",
"Foxe Basin",
"Gulf of Papua",
"Alboran Sea",
"Bight of Benin",
"Chaun Bay",
"Gulf of Ob",
"Yenisey Gulf",
"Wager Bay",
"Fury and Hecla Strait",
"Halmahera Sea",
"Selat Dampier",
"Gulf of Buli",
"Gulf of Anadyr'",
"Mediterranean Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "d4dd1acbe66ff147",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "82665:82675:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '75566:75578:1'} The data starts from September 21 12:00 and ends on September 24 06:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) V (meridional) component of wind at 400 hPa differs from the SON seasonal climatology mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above V (meridional) component of wind at 400 hPa values. Please provide the name of the specific country(s) with the anomaly.",
"response": "Based on the provided data, no significant V (meridional) component of wind at 400 hPa anomalies were detected relative to the SON seasonal climatology baseline.",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"v_component_of_wind",
400
],
"geofeature": "country",
"climatology_timescale_desc": "SON seasonal climatology",
"sigma_threshold": 3,
"threshold_direction": "above",
"true_value": [],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "6726061d9e872593",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "75566:75578:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 138 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '78051:78074:1'} The data starts from June 03 18:00 and ends on June 09 06:00. Based on the above data, answer the following question:",
"question": "Which country(s) have regions with (time-averaged) Mean sea level pressure values running below the 1st percentile climatology for the monthly climatology for June? Treat any region beyond that percentile as anomalous. Please provide the name of the specific country(s) with the anomaly.",
"response": "Based on the provided data, no significant Mean sea level pressure anomalies were detected relative to the monthly climatology for June baseline.",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "PWioGV",
"variable": [
"mean_sea_level_pressure",
null
],
"geofeature": "country",
"climatology_timescale_desc": "monthly climatology for June",
"quantile": "0.01",
"threshold_direction": "below",
"true_value": [],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "3c8fafabc71be5e9",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "78051:78074:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 102 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '91681:91698:1'} The data starts from October 02 06:00 and ends on October 06 06:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) V (meridional) component of wind at 700 hPa differs from the SON seasonal climatology mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above V (meridional) component of wind at 700 hPa values.",
"response": "These water body(s) exceed the ±3σ anomaly threshold for V (meridional) component of wind at 700 hPa relative to the SON seasonal climatology mean: SOUTHERN OCEAN(average 18.22 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"v_component_of_wind",
700
],
"geofeature": "water_body",
"climatology_timescale_desc": "SON seasonal climatology",
"sigma_threshold": 3,
"threshold_direction": "above",
"true_value": [
"SOUTHERN OCEAN"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "6bbda2a582e06e68",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "91681:91698:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 18 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '42121:42124:1'} The data starts from October 31 06:00 and ends on October 31 18:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 30 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 30 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 30 hours:\nA Tropical cyclone is expected in the country of India in approximately the next 30 hours. Specifically the region(s) that might get affected are: Andhra Pradesh, Tami Nadu\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"India"
],
"extreme_event_hours": 30,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "fb3947a67aedd3d9",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "42121:42124:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 30 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '88009:88014:1'} The data starts from March 29 06:00 and ends on March 30 06:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) Temperature at 150 hPa lies outside the climatological 10th–99th percentile envelope for the monthly climatology for March. Regions outside that envelope are anomalous.",
"response": "These water body(s) fall outside the 10th–99th percentile envelope for Temperature at 150 hPa during monthly climatology for March: SOUTHERN OCEAN(average -0.8807 K)\nNorth Atlantic Ocean(average 0.297 K)\nNorth Pacific Ocean(average -0.1665 K)\nSouth Pacific Ocean(average -0.6211 K)\nINDIAN OCEAN(average -0.6768 K)\nSouth Atlantic Ocean(average -3.206 K)\nPhilippine Sea(average -0.1375 K)\nWeddell Sea(average -0.3453 K)\nJava Sea(average 0.01523 K)\nBellingshausen Sea(average -0.6642 K)\nAmundsen Sea(average -1.679 K)\nGreat Australian Bight(average 0.3852 K)\nMakassar Strait(average 0.04208 K)\nGulf of Maine(average -0.4119 K)\nGolfo San Jorge(average -0.7561 K)\nBass Strait(average 0.3001 K)\nGolfo Corcovado(average -0.3237 K)\nWrigley Gulf(average -0.4253 K)\nSulzberger Bay(average -1.161 K)\nMcMurdo Sound(average -0.4747 K)\nBahía Grande(average -0.6341 K)\nPeacock Sound(average -1.359 K)\nRoss Sea(average -0.7693 K)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"temperature",
150
],
"geofeature": "water_body",
"climatology_timescale_desc": "monthly climatology for March",
"lower_quantile": "0.1",
"upper_quantile": "0.99",
"true_value": [
"SOUTHERN OCEAN",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Philippine Sea",
"Weddell Sea",
"Java Sea",
"Bellingshausen Sea",
"Amundsen Sea",
"Great Australian Bight",
"Makassar Strait",
"Gulf of Maine",
"Golfo San Jorge",
"Bass Strait",
"Golfo Corcovado",
"Wrigley Gulf",
"Sulzberger Bay",
"McMurdo Sound",
"Bahía Grande",
"Peacock Sound",
"Ross Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "c7a907875d9c6d8b",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "88009:88014:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '45916:45932:1'} The data starts from June 06 00:00 and ends on June 09 18:00. Based on the above data, answer the following question:",
"question": "What will the maximum Geopotential at 700 hPa be in Guba Gusinaya, 30 hours after the end of the given time window?",
"response": "Based on the provided data, the maximum Geopotential at 700 hPa in Guba Gusinaya 30 hours after the given time window will be 2.908e+04 m²/s².",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "29078.75",
"location": "Guba Gusinaya",
"target_variable": "geopotential_700",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "8dfed129a6b81675",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "45916:45932:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 36 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '67514:67520:1'} The data starts from March 18 12:00 and ends on March 19 18:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 12 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 12 hours.'",
"response": "Based on the provided data, there is no extreme weather event expected within the next 12 hours.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [],
"extreme_event_hours": 12,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "394e0a77b09f9e11",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "67514:67520:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 156 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '46152:46178:1'} The data starts from August 04 00:00 and ends on August 10 06:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 6 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 6 hours.'",
"response": "Based on the provided data, there is no extreme weather event expected within the next 6 hours.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [],
"extreme_event_hours": 6,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "c8d883dfa9c5eabe",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "46152:46178:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 120 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '89529:89549:1'} The data starts from April 12 06:00 and ends on April 17 00:00. Based on the above data, answer the following question:",
"question": "Based on the provided meteorological data, where is the Sand/Dust Storm currently happening? Specify the affected countries or regions, or respond 'No Sand/Dust Storm detected.'",
"response": "No Sand/Dust Storm detected in the provided data.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "a7d6Lm",
"true_value": [],
"target_disaster": "Sand/Dust Storm",
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "cb03030c5aa86c17",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "89529:89549:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 12 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '71704:71706:1'} The data starts from January 30 00:00 and ends on January 30 06:00. Based on the above data, answer the following question:",
"question": "In the 30 hours after the end of the given time window, when will Ethiopia experience its highest U (zonal) component of wind at 200 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, Ethiopia will experience its highest U (zonal) component of wind at 200 hPa of 13.54 m/s 30 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 30,
"location": "Ethiopia",
"extremum_value": "13.535465",
"target_variable": "u_component_of_wind_200",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "f0600b06fedee5fc",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "71704:71706:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 90 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '41176:41191:1'} The data starts from March 09 00:00 and ends on March 12 12:00. Based on the above data, answer the following question:",
"question": "What will the minimum U (zonal) component of wind at 700 hPa be in Saint Barthelemy, 18 hours after the end of the given time window?",
"response": "Based on the provided data, the minimum U (zonal) component of wind at 700 hPa in Saint Barthelemy 18 hours after the given time window will be 1.202 m/s.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "1.2015578",
"location": "Saint Barthelemy",
"target_variable": "u_component_of_wind_700",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "6e19c12eefa42d45",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "41176:41191:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 36 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '29769:29775:1'} The data starts from May 18 06:00 and ends on May 19 12:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, there is no extreme weather event occuring.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": false,
"task_id": "0cba393d15327280",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "29769:29775:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '67544:67571:1'} The data starts from March 26 00:00 and ends on April 01 12:00. Based on the above data, answer the following question:",
"question": "Which country(s) are currently experiencing an exceedance in V (meridional) component of wind at 400 hPa values? An exceedance is defined as a period of at least 48 consecutive hours where the V (meridional) component of wind at 400 hPa values exceed the 95th percentile climatology for the six-hourly climatology for day 85 at 00 UTC. Please provide the name of the specific country(s) with the anomaly.",
"response": "The following country(s) are currently experiencing an exceedance in V (meridional) component of wind at 400 hPa: Ethiopia(average 0.2358 m/s)\nSouth Sudan(average 1.04 m/s)\nKazakhstan(average 2.574 m/s)\nBrazil(average 1.624 m/s)\nRussia(average 3.75 m/s)\nSudan(average 1.132 m/s)\nGuatemala(average 0.7021 m/s)\nHonduras(average 0.5542 m/s)\nUnited States of America(average 2.076 m/s)\nCanada(average 1.206 m/s)\nMexico(average 1.257 m/s)\nBelize(average 0.7693 m/s)\nAustralia(average 3.489 m/s)\nGreenland(average 1.508 m/s)\nFrench Polynesia(average 1.379 m/s)\nKiribati(average 2.434 m/s)\nCook Islands(average 2.998 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"v_component_of_wind",
400
],
"geofeature": "country",
"climatology_timescale_desc": "six-hourly climatology for day 85 at 00 UTC",
"quantile": "0.95",
"min_duration_days": 2,
"true_value": [
"Ethiopia",
"South Sudan",
"Kazakhstan",
"Brazil",
"Russia",
"Sudan",
"Guatemala",
"Honduras",
"United States of America",
"Canada",
"Mexico",
"Belize",
"Australia",
"Greenland",
"French Polynesia",
"Kiribati",
"Cook Islands"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "79e5c1928536ee6b",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "67544:67571:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 18 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '92839:92842:1'} The data starts from July 18 18:00 and ends on July 19 06:00. Based on the above data, answer the following question:",
"question": "What will the median Mean sea level pressure be in Madagascar, 24 hours after the end of the given time window?",
"response": "Based on the provided data, the median Mean sea level pressure in Madagascar 24 hours after the given time window will be 1.024e+05 Pa.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "102399.734",
"location": "Madagascar",
"target_variable": "mean_sea_level_pressure",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "1e5adc406063a720",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "92839:92842:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 120 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '75403:75423:1'} The data starts from August 11 18:00 and ends on August 16 12:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) Surface temperature differs from the daily climatology for day 223 mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above Surface temperature values.",
"response": "These water body(s) exceed the ±3σ anomaly threshold for Surface temperature relative to the daily climatology for day 223 mean: North Atlantic Ocean(average 3.461 K)\nNorth Pacific Ocean(average 3.527 K)\nSouth Atlantic Ocean(average 2.743 K)\nBlack Sea(average 4.898 K)\nHudson Bay(average 6.46 K)\nBaffin Bay(average 3.013 K)\nGreenland Sea(average 2.858 K)\nLaptev Sea(average 4.686 K)\nJames Bay(average 7.013 K)\nHudson Strait(average 4.992 K)\nEast Siberian Sea(average 3.688 K)\nGulf of Yana(average 4.405 K)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"2m_temperature",
null
],
"geofeature": "water_body",
"climatology_timescale_desc": "daily climatology for day 223",
"sigma_threshold": 3,
"threshold_direction": "above",
"true_value": [
"North Atlantic Ocean",
"North Pacific Ocean",
"South Atlantic Ocean",
"Black Sea",
"Hudson Bay",
"Baffin Bay",
"Greenland Sea",
"Laptev Sea",
"James Bay",
"Hudson Strait",
"East Siberian Sea",
"Gulf of Yana"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "5f8468661d3ff2a9",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "75403:75423:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 60 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '74111:74121:1'} The data starts from September 22 18:00 and ends on September 25 00:00. Based on the above data, answer the following question:",
"question": "Identify country(s) which have regions where (time-averaged) 10-meter V component of wind differs from the daily climatology for day 265 mean by at least 3 standard deviations (|value − mean|/std ≥ 3). Report the regions with anomalously above 10-meter V component of wind values. Please provide the name of the specific country(s) with the anomaly.",
"response": "These country(s) exceed the ±3σ anomaly threshold for 10-meter V component of wind relative to the daily climatology for day 265 mean: Greenland(average 1.658 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "ifMUcY",
"variable": [
"10m_v_component_of_wind",
null
],
"geofeature": "country",
"climatology_timescale_desc": "daily climatology for day 265",
"sigma_threshold": 3,
"threshold_direction": "above",
"true_value": [
"Greenland"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "847c8fc8a040d2b0",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "74111:74121:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '69690:69717:1'} The data starts from September 13 12:00 and ends on September 20 00:00. Based on the above data, answer the following question:",
"question": "What will the median U (zonal) component of wind at 250 hPa be in San Francisco Bay, 48 hours after the end of the given time window?",
"response": "Based on the provided data, the median U (zonal) component of wind at 250 hPa in San Francisco Bay 48 hours after the given time window will be 11.69 m/s.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "11.685053",
"location": "San Francisco Bay",
"target_variable": "u_component_of_wind_250",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "d85b61cffd32e1ae",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "69690:69717:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 126 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '83522:83543:1'} The data starts from March 02 12:00 and ends on March 07 12:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) have regions with (time-averaged) Temperature at 1000 hPa values running below the 1st percentile climatology for the daily climatology for day 62? Treat any region beyond that percentile as anomalous.",
"response": "The following water body(s) show Temperature at 1000 hPa values below the 1st percentile climatology for daily climatology for day 62: South Pacific Ocean(average -0.1638 K)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "PWioGV",
"variable": [
"temperature",
1000
],
"geofeature": "water_body",
"climatology_timescale_desc": "daily climatology for day 62",
"quantile": "0.01",
"threshold_direction": "below",
"true_value": [
"South Pacific Ocean"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "bf2a7a17810022ee",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "83522:83543:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '34415:34442:1'} The data starts from July 22 18:00 and ends on July 29 06:00. Based on the above data, answer the following question:",
"question": "In the 12 hours after the end of the given time window, when will Baía de Marajó experience its highest U (zonal) component of wind at 500 hPa? Provide your answer as the number of hours offset from the end of the given time window.",
"response": "Based on the provided data, Baía de Marajó will experience its highest U (zonal) component of wind at 500 hPa of -5.645 m/s 6 hours after the end of the given time window.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "pIzWBe",
"true_value": 6,
"location": "Baía de Marajó",
"extremum_value": "-5.645363",
"target_variable": "u_component_of_wind_500",
"level": "2a",
"eval_type": "time",
"forced_extreme_window": false,
"task_id": "5f56f8c9decd082b",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "34415:34442:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 96 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '75219:75235:1'} The data starts from June 26 18:00 and ends on June 30 12:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) have regions with (time-averaged) 10-meter V component of wind values running below the 1st percentile climatology for the daily climatology for day 177? Treat any region beyond that percentile as anomalous.",
"response": "The following water body(s) show 10-meter V component of wind values below the 1st percentile climatology for daily climatology for day 177: North Pacific Ocean(average -1.217 m/s)\nINDIAN OCEAN(average -0.3807 m/s)\nGulf of Mexico(average -0.486 m/s)\nBarents Sea(average -0.4887 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "PWioGV",
"variable": [
"10m_v_component_of_wind",
null
],
"geofeature": "water_body",
"climatology_timescale_desc": "daily climatology for day 177",
"quantile": "0.01",
"threshold_direction": "below",
"true_value": [
"North Pacific Ocean",
"INDIAN OCEAN",
"Gulf of Mexico",
"Barents Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "05e7c4c70f0f2361",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "75219:75235:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 138 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '83222:83245:1'} The data starts from December 18 12:00 and ends on December 24 00:00. Based on the above data, answer the following question:",
"question": "Which country(s) are currently experiencing an exceedance in Temperature at 400 hPa values? An exceedance is defined as a period of at least 96 consecutive hours where the Temperature at 400 hPa values exceed the 90th percentile climatology for the daily climatology for day 352. Please provide the name of the specific country(s) with the anomaly.",
"response": "The following country(s) are currently experiencing an exceedance in Temperature at 400 hPa: Indonesia(average 0.07843 K)\nPeru(average 0.6125 K)\nIndia(average 1.12 K)\nChina(average 0.8357 K)\nEthiopia(average 0.3803 K)\nSouth Sudan(average 0.3233 K)\nSomalia(average 0.1581 K)\nSomaliland(average 0.1646 K)\nFrance(average 0.5992 K)\nSouth Korea(average 1.626 K)\nCosta Rica(average 0.7858 K)\nNicaragua(average 0.1613 K)\nRepublic of the Congo(average 0.3705 K)\nDemocratic Republic of the Congo(average 0.2652 K)\nUkraine(average 1.841 K)\nBelarus(average 1.806 K)\nNamibia(average 0.1518 K)\nSouth Africa(average 0.2256 K)\nOman(average 1.62 K)\nLithuania(average 1.196 K)\nRussia(average 0.8047 K)\nGermany(average 0.9492 K)\nEstonia(average 0.5244 K)\nLatvia(average 0.7301 K)\nNorway(average 0.269 K)\nSweden(average 0.3661 K)\nFinland(average 0.2892 K)\nVietnam(average 0.1592 K)\nLuxembourg(average 0.8001 K)\nUnited Arab Emirates(average 1.983 K)\nBelgium(average 0.9354 K)\nSpain(average 0.2556 K)\nLaos(average 0.02725 K)\nDenmark(average 0.3444 K)\nRomania(average 1.533 K)\nHungary(average 1.295 K)\nSlovakia(average 1.872 K)\nPoland(average 2.026 K)\nUnited Kingdom(average 0.4769 K)\nZambia(average 0.1598 K)\nLiberia(average 0.069 K)\nCentral African Republic(average 0.3655 K)\nSudan(average 0.3663 K)\nDjibouti(average 0.1938 K)\nEritrea(average 0.5406 K)\nAustria(average 0.8077 K)\nItaly(average 0.3676 K)\nSwitzerland(average 0.6397 K)\nIran(average 1.623 K)\nNetherlands(average 0.9741 K)\nIvory Coast(average 0.1048 K)\nRepublic of Serbia(average 0.8918 K)\nNigeria(average 0.4078 K)\nBenin(average 0.2857 K)\nAngola(average 0.1085 K)\nCroatia(average 0.7594 K)\nSlovenia(average 0.8077 K)\nQatar(average 1.711 K)\nSaudi Arabia(average 1.219 K)\nBotswana(average 0.1526 K)\nZimbabwe(average 0.1562 K)\nPakistan(average 2.188 K)\nThailand(average 0.1236 K)\nChad(average 0.3284 K)\nEl Salvador(average 0.793 K)\nGuatemala(average 1.058 K)\nMyanmar(average 0.2027 K)\nBangladesh(average 0.3755 K)\nAndorra(average 0.3997 K)\nAfghanistan(average 0.2369 K)\nBosnia and Herzegovina(average 0.4988 K)\nCuba(average 0.624 K)\nHonduras(average 0.4691 K)\nEcuador(average 0.9314 K)\nColombia(average 0.3663 K)\nMoldova(average 1.828 K)\nCameroon(average 0.3751 K)\nGabon(average 0.3794 K)\nNiger(average 0.3245 K)\nTogo(average 0.2448 K)\nGhana(average 0.2082 K)\nUnited States of America(average 0.5103 K)\nMexico(average 0.6655 K)\nBelize(average 0.8607 K)\nPapua New Guinea(average 0.2411 K)\nYemen(average 0.7688 K)\nEquatorial Guinea(average 0.5298 K)\nAustralia(average 0.4268 K)\nSri Lanka(average 0.03479 K)\nThe Bahamas(average 0.4796 K)\nTaiwan(average 0.2814 K)\nJapan(average 0.8696 K)\nKiribati(average 0.5546 K)\nMarshall Islands(average 0.7151 K)\nUnited States Minor Outlying Islands(average 0.4115 K)\nJamaica(average 0.1111 K)\nCayman Islands(average 0.2253 K)\nBermuda(average 0.7001 K)\nSão Tomé and Principe(average 0.2662 K)\nCook Islands(average 0.2726 K)\nFederated States of Micronesia(average 0.3428 K)\nNorthern Mariana Islands(average 0.1617 K)\nBahrain(average 1.214 K)\nClipperton Island(average 1.847 K)\nBajo Nuevo Bank (Petrel Is.)(average 0.02289 K)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"temperature",
400
],
"geofeature": "country",
"climatology_timescale_desc": "daily climatology for day 352",
"quantile": "0.9",
"min_duration_days": 4,
"true_value": [
"Indonesia",
"Peru",
"India",
"China",
"Ethiopia",
"South Sudan",
"Somalia",
"Somaliland",
"France",
"South Korea",
"Costa Rica",
"Nicaragua",
"Republic of the Congo",
"Democratic Republic of the Congo",
"Ukraine",
"Belarus",
"Namibia",
"South Africa",
"Oman",
"Lithuania",
"Russia",
"Germany",
"Estonia",
"Latvia",
"Norway",
"Sweden",
"Finland",
"Vietnam",
"Luxembourg",
"United Arab Emirates",
"Belgium",
"Spain",
"Laos",
"Denmark",
"Romania",
"Hungary",
"Slovakia",
"Poland",
"United Kingdom",
"Zambia",
"Liberia",
"Central African Republic",
"Sudan",
"Djibouti",
"Eritrea",
"Austria",
"Italy",
"Switzerland",
"Iran",
"Netherlands",
"Ivory Coast",
"Republic of Serbia",
"Nigeria",
"Benin",
"Angola",
"Croatia",
"Slovenia",
"Qatar",
"Saudi Arabia",
"Botswana",
"Zimbabwe",
"Pakistan",
"Thailand",
"Chad",
"El Salvador",
"Guatemala",
"Myanmar",
"Bangladesh",
"Andorra",
"Afghanistan",
"Bosnia and Herzegovina",
"Cuba",
"Honduras",
"Ecuador",
"Colombia",
"Moldova",
"Cameroon",
"Gabon",
"Niger",
"Togo",
"Ghana",
"United States of America",
"Mexico",
"Belize",
"Papua New Guinea",
"Yemen",
"Equatorial Guinea",
"Australia",
"Sri Lanka",
"The Bahamas",
"Taiwan",
"Japan",
"Kiribati",
"Marshall Islands",
"United States Minor Outlying Islands",
"Jamaica",
"Cayman Islands",
"Bermuda",
"São Tomé and Principe",
"Cook Islands",
"Federated States of Micronesia",
"Northern Mariana Islands",
"Bahrain",
"Clipperton Island",
"Bajo Nuevo Bank (Petrel Is.)"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "7a08d5bc0256c6be",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "83222:83245:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 150 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '68832:68857:1'} The data starts from February 11 00:00 and ends on February 17 00:00. Based on the above data, answer the following question:",
"question": "What will the average 10-meter V component of wind be in United Arab Emirates, 30 hours after the end of the given time window?",
"response": "Based on the provided data, the average 10-meter V component of wind in United Arab Emirates 30 hours after the given time window will be -6.693 m/s.",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "gExxyC",
"true_value": "-6.6926103",
"location": "United Arab Emirates",
"target_variable": "10m_v_component_of_wind",
"level": "2a",
"eval_type": "numerical",
"forced_extreme_window": false,
"task_id": "ce9cc489366e62be",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "68832:68857:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 72 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '90783:90795:1'} The data starts from February 19 18:00 and ends on February 22 12:00. Based on the above data, answer the following question:",
"question": "Identify water_body(s) which have regions where (time-averaged) 10-meter U component of wind lies outside the climatological 1st–95th percentile envelope for the DJF seasonal climatology. Regions outside that envelope are anomalous.",
"response": "These water body(s) fall outside the 1st–95th percentile envelope for 10-meter U component of wind during DJF seasonal climatology: Arctic Ocean(average 2.409 m/s)\nSOUTHERN OCEAN(average 0.4968 m/s)\nNorth Atlantic Ocean(average 0.07307 m/s)\nNorth Pacific Ocean(average 0.3333 m/s)\nSouth Pacific Ocean(average 0.9911 m/s)\nINDIAN OCEAN(average 1.589 m/s)\nSouth Atlantic Ocean(average 0.5436 m/s)\nPhilippine Sea(average 0.7489 m/s)\nSouth China Sea(average 0.218 m/s)\nCelebes Sea(average 0.3598 m/s)\nGreenland Sea(average -0.09789 m/s)\nBanda Sea(average 0.4809 m/s)\nMozambique Channel(average 1.101 m/s)\nBarents Sea(average 0.7001 m/s)\nEast China Sea(average 0.2897 m/s)\nTimor Sea(average 0.1782 m/s)\nThe North Western Passages(average -0.6113 m/s)\nQueen Charlotte Sound(average 0.1702 m/s)\nMolucca Sea(average 0.3305 m/s)\nTaiwan Strait(average 0.2062 m/s)\nHall Basin(average 0.1223 m/s)\nDavao Gulf(average 0.7381 m/s)\nGulf of Kau(average 0.1412 m/s)\nSavu Sea(average 0.2121 m/s)\nHecate Strait(average 0.1208 m/s)\nCordova Bay(average 0.1244 m/s)\nRobeson Channel(average 0.03548 m/s)\nKennedy Channel(average 0.05157 m/s)\nCoral Sea(average 0.6944 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "gRZFrm",
"variable": [
"10m_u_component_of_wind",
null
],
"geofeature": "water_body",
"climatology_timescale_desc": "DJF seasonal climatology",
"lower_quantile": "0.01",
"upper_quantile": "0.95",
"true_value": [
"Arctic Ocean",
"SOUTHERN OCEAN",
"North Atlantic Ocean",
"North Pacific Ocean",
"South Pacific Ocean",
"INDIAN OCEAN",
"South Atlantic Ocean",
"Philippine Sea",
"South China Sea",
"Celebes Sea",
"Greenland Sea",
"Banda Sea",
"Mozambique Channel",
"Barents Sea",
"East China Sea",
"Timor Sea",
"The North Western Passages",
"Queen Charlotte Sound",
"Molucca Sea",
"Taiwan Strait",
"Hall Basin",
"Davao Gulf",
"Gulf of Kau",
"Savu Sea",
"Hecate Strait",
"Cordova Bay",
"Robeson Channel",
"Kennedy Channel",
"Coral Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "d4e3fd035e434f6a",
"difficulty": "easy"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "90783:90795:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 18 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '69523:69526:1'} The data starts from August 02 18:00 and ends on August 03 06:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench meteorological data for the given time window and identify if any extreme weather event is occurring. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is detected, specify the event type, and the specific countries and regions currently affected or in its path. If no extreme event is present, state 'No extreme weather event detected.'",
"response": "Based on the provided data, the following extreme weather event(s) are happening:\nA Tropical cyclone is occuring in the country of China. Specifically the region(s) being affected are: Guangdong Sheng, Guangxi Zhuangzu Zizhiqu, Hainan Sheng provinces\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "1cJ6lX",
"true_value": [
"China"
],
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "c01eaeebc13b635d",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "69523:69526:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 108 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '68389:68407:1'} The data starts from October 23 06:00 and ends on October 27 12:00. Based on the above data, answer the following question:",
"question": "Analyze the provided WeatherBench data and forecast whether any extreme weather event will develop in the next 36 hours after the current time window. An extreme weather event is defined as a tropical cyclone, extra-tropical storm, blizzard/winter storm, derecho, severe weather, sand/dust storm, or general storm. If an event is forecasted, specify the event type, and the specific countries and regions that will be affected or in its path. If no extreme event is forecasted, state 'No extreme weather event forecasted in the next 36 hours.'",
"response": "Based on the provided data, the following extreme weather event(s) might happen in the next 36 hours:\nA Tropical cyclone is expected in the country of Colombia in approximately the next 36 hours. Specifically the region(s) that might get affected are: Providencia Isl. (Santa Catalina, Santa Catarina districts, San Andres y Providencia province), San Andres Isl. (San Andres y Providencia district, San Andres y Providencia province)\n",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "ry3OgP",
"true_value": [
"Colombia"
],
"extreme_event_hours": 36,
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "b6f0ab3ac4c776bd",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "68389:68407:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 168 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '83937:83965:1'} The data starts from June 14 06:00 and ends on June 21 00:00. Based on the above data, answer the following question:",
"question": "Which water_body(s) are currently experiencing an exceedance in V (meridional) component of wind at 400 hPa values? An exceedance is defined as a period of at least 96 consecutive hours where the V (meridional) component of wind at 400 hPa values exceed the 95th percentile climatology for the JJA seasonal climatology.",
"response": "The following water body(s) are currently experiencing an exceedance in V (meridional) component of wind at 400 hPa: Arctic Ocean(average 2.092 m/s)\nNorth Pacific Ocean(average 0.3352 m/s)\nTyrrhenian Sea(average 1.912 m/s)\nAdriatic Sea(average 1.278 m/s)\nIonian Sea(average 1.662 m/s)\nMediterranean Sea(average 1.746 m/s)\n",
"metadata": {
"prompt_id": "70wPiM",
"question_id": "kjYH1S",
"variable": [
"v_component_of_wind",
400
],
"geofeature": "water_body",
"climatology_timescale_desc": "JJA seasonal climatology",
"quantile": "0.95",
"min_duration_days": 4,
"true_value": [
"Arctic Ocean",
"North Pacific Ocean",
"Tyrrhenian Sea",
"Adriatic Sea",
"Ionian Sea",
"Mediterranean Sea"
],
"level": "2a",
"eval_type": "anomaly",
"forced_extreme_window": false,
"task_id": "69d10c0a3792256f",
"difficulty": "medium"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "83937:83965:1"
}
},
{
"prompt": "The following data shows the global weather fields over a period of 162 hours, sampled at an interval of 6 hours. {'type': 'wb2', 'variables': ['mean_sea_level_pressure', '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_temperature', 'surface_pressure', 'geopotential', 'specific_humidity', 'temperature', 'u_component_of_wind', 'v_component_of_wind'], 'time_indices': '56992:57019:1'} The data starts from January 04 00:00 and ends on January 10 12:00. Based on the above data, answer the following question:",
"question": "Based on the provided meteorological data, where is the Tropical Cyclone currently happening? Specify the affected countries or regions, or respond 'No Tropical Cyclone detected.'",
"response": "Based on the provided data, the Tropical Cyclone is affecting: Tonga",
"metadata": {
"prompt_id": "HIuSnl",
"question_id": "a7d6Lm",
"true_value": [
"Tonga"
],
"target_disaster": "Tropical Cyclone",
"level": "2a",
"eval_type": "extreme_weather",
"forced_extreme_window": true,
"task_id": "2d9eab66ff933c9a",
"difficulty": "hard"
},
"data_desc": {
"type": "wb2",
"variables": [
"mean_sea_level_pressure",
"10m_u_component_of_wind",
"10m_v_component_of_wind",
"2m_temperature",
"surface_pressure",
"geopotential",
"specific_humidity",
"temperature",
"u_component_of_wind",
"v_component_of_wind"
],
"time_indices": "56992:57019:1"
}
}
] |