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title: Seventy-Seven Years of U.S. Tornadoes
emoji: πͺοΈ
colorFrom: blue
colorTo: red
sdk: static
app_file: index.html
pinned: false
license: cc-by-4.0
Seventy-seven years of U.S. tornadoes
An interactive browser for annual tornado density across the contiguous United States, 1950β2026. Drag the timeline, scroll over the map, or use the arrow keys.
Every tornado in the NOAA/NWS Storm Prediction Center database is placed at the midpoint of its track, binned onto an 80 km Lambert conformal grid, and smoothed with a 120 km Gaussian kernel β the gridding convention of Brooks, Doswell & Kay (2003, Wea. Forecasting 18, 626β640). Black dots are individual tornadoes.
Reading it honestly
- The color scale is fixed across all years, so a pale map is a genuinely quiet year rather than a rescaled one.
- Reports are not a fixed yardstick. How many tornadoes get recorded depends on population density, observing technology, and public awareness, none of which has held steady since 1950. Early years are undercounted, especially for weak tornadoes.
- 2026 is incomplete. It covers 1 January β 14 August only, and comes from preliminary reports that were deduplicated (DBSCAN, 20 km / 30 min) and rescaled to a final-count basis using the 2010β2025 relationship between deduplicated preliminary reports and final counts. Its all-time rank is therefore a floor, not a settled figure.
Data
The gridded density field ships with this Space as a Zarr v2 store:
tornado_density_CONUS_80km_1950-2026.zarr
βββ density (year, y, x) float32 tornadoes (10^4 km^2)^-1
βββ year, x, y, lat, lon
βββ annual_max, rank_all_time, tornado_count (year,)
βββ lambert_conformal_conic grid mapping
import xarray as xr
ds = xr.open_zarr("tornado_density_CONUS_80km_1950-2026.zarr")
ds.density.sel(year=2026).plot()
Source: NOAA/NWS Storm Prediction Center β 1950β2025 final severe weather database and 2026 preliminary daily storm reports. Analysis: Prof. Steve Nesbitt, Department of Climate, Meteorology & Atmospheric Sciences, University of Illinois Urbana-Champaign β snesbitt.github.io.