buffalo_blizzard dict | ca_atmos_river dict | ca_pineapple_express dict | carr_fire dict | death_valley dict | denver_hail dict | enderlin_ef5 dict | la_fires dict | la_fires_peak dict | mayfield dict | michael dict | nashville dict | pineapple_express dict | pnw_windstorm dict | seattle_heat_dome dict | sfbay dict | tx_freeze dict | camp_fire dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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"C... |
WRF 250m Severe Weather Simulations — CF-Compliant NetCDF4
18 high-resolution (250m) WRF-ARW severe weather simulations in standard CF-compliant NetCDF4 format. Ready for immediate use with xarray, MetPy, Panoply, QGIS, GrADS, NCL, CDO, and any CF-aware tool.
This is the NetCDF4 version of wrf-250m-severe-weather-overlays. Same data, standard format.
Quick Start
import xarray as xr
ds = xr.open_dataset("carr_fire.nc")
print(ds)
# Plot composite reflectivity at timestep 200
ds["refc"].isel(time=200).plot(cmap="turbo", vmin=-10, vmax=75)
# Time series at a point
ds["t2m"].sel(y=400, x=400).plot()
Events
| File | Event | Category | Date | Location | Timesteps |
|---|---|---|---|---|---|
buffalo_blizzard.nc |
Buffalo Blizzard | winter | 2022-12-23 | Buffalo, NY | 14 |
ca_atmos_river.nc |
CA Atmospheric River | flooding | 2021-12-30 | Northern California | 421 |
ca_pineapple_express.nc |
CA Pineapple Express 2023 | flooding | 2023-01-04 | California | 421 |
camp_fire.nc |
Camp Fire | wildfire | 2018-11-08 | Paradise, CA | 418 |
carr_fire.nc |
Carr Fire | wildfire | 2018-07-23 | Redding, CA | 421 |
death_valley.nc |
Death Valley Record Heat | heat | 2020-08-16 | Death Valley, CA | 357 |
denver_hail.nc |
Denver Hailstorm | hail | 2024-05-31 | Denver, CO | 421 |
enderlin_ef5.nc |
Enderlin EF5 Tornado | tornado | 2025-06-21 | Enderlin, ND | 359 |
la_fires.nc |
LA Fires | wildfire | 2020-09-06 | Los Angeles, CA | 421 |
la_fires_peak.nc |
LA Fires Peak 2025 | wildfire | 2025-01-07 | Los Angeles, CA | 421 |
mayfield.nc |
Mayfield EF4 Tornado | tornado | 2021-12-11 | Mayfield, KY | 22 |
michael.nc |
Hurricane Michael | hurricane | 2018-10-10 | Panama City, FL | 34 |
nashville.nc |
Nashville EF3 Tornado | tornado | 2020-03-03 | Nashville, TN | 42 |
pineapple_express.nc |
Pineapple Express | flooding | 2024-02-04 | Southern California | 418 |
pnw_windstorm.nc |
PNW Windstorm | wind | 2020-09-08 | Pacific Northwest | 360 |
seattle_heat_dome.nc |
Seattle Heat Dome | heat | 2021-06-28 | Seattle, WA | 21 |
sfbay.nc |
SF Bay Area Fires | wildfire | 2020-09-06 | San Francisco Bay Area, CA | 421 |
tx_freeze.nc |
Texas Freeze | winter | 2021-02-16 | Texas | 22 |
Total: 5,014 timesteps across 18 events at 1-minute resolution, 800x800 grid (250m).
Variables
| Variable | CF standard_name | Units | Description |
|---|---|---|---|
t2m |
air_temperature |
degC | 2m Temperature |
u10 |
eastward_wind |
m s⁻¹ | 10m U-wind |
v10 |
northward_wind |
m s⁻¹ | 10m V-wind |
wind_speed_10m |
wind_speed |
m s⁻¹ | 10m Wind Speed |
wind_direction_10m |
wind_from_direction |
degree | 10m Wind Direction |
surface_pressure |
surface_air_pressure |
hPa | Surface Pressure |
pblh |
atmosphere_boundary_layer_thickness |
m | PBL Height |
hfx |
surface_upward_sensible_heat_flux |
W m⁻² | Sensible Heat Flux |
lh |
surface_upward_latent_heat_flux |
W m⁻² | Latent Heat Flux |
rain_rate |
lwe_precipitation_rate |
mm hr⁻¹ | Rain Rate |
refc |
— | dBZ | Composite Reflectivity |
wspd10max |
— | m s⁻¹ | Max 10m Wind Gust |
w_up_max |
— | m s⁻¹ | Max Updraft Speed |
w_dn_max |
— | m s⁻¹ | Max Downdraft Speed |
updraft_helicity |
— | m² s⁻² | Max Updraft Helicity 2-5km |
hail_max |
— | mm | Max Hail Diameter |
All variables include grid_mapping = "lambert_conformal_conic" and coordinates = "lat lon" for proper geospatial referencing.
Format Details
- Format: NetCDF4 / HDF5 with CF-1.8 conventions
- Dimensions:
time(unlimited) ×y(800) ×x(800) - Coordinates: 2D
lat(y,x)andlon(y,x)arrays (Lambert Conformal grid) - Projection: Lambert Conformal Conic — per-event parameters in
lambert_conformal_conicvariable andwrf_config.json - Compression: zlib level 4, chunked (1, 800, 800) per variable — one timestep per chunk
- Data type: float32
WRF Configuration
Each event was run with WRF-ARW v4.7.1 at 250m resolution (d03 domain). Full WRF namelist parameters are in wrf_config.json, keyed by event name. Key settings:
- Grid: 800 × 800, dx=dy=250m
- Vertical: 81 levels, hybrid coordinates
- Microphysics: Thompson (MP=8)
- Radiation: RRTMG (RA=4)
- Adaptive timestep: 1-2s
Tools That Work Out of the Box
- Python: xarray, MetPy, netCDF4, scipy
- Desktop: Panoply, ncview, QGIS
- Command line: CDO, NCO, ncdump
- Languages: NCL, GrADS, MATLAB, R (ncdf4), Julia (NCDatasets.jl)
Citation
@dataset{wrf_250m_severe_2025,
title={WRF 250m Severe Weather Simulations},
author={Fahrenheit Research},
year={2025},
url={https://huggingface.co/datasets/deepguess/wrf-250m-severe-weather-netcdf4},
license={CC-BY-4.0}
}
License
CC-BY-4.0
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