OpenSCS / Severe convective storms

Four decades of severe-weather hindcasts.

OpenSCS maps the atmospheric conditions associated with hail, damaging thunderstorm wind, and tornadoes across a consistent multi-decade archive.

1980–2025hindcast archive
3 hazardshail · wind · tornado
ERA5atmospheric inputs
Hourlyretrospective fields

The system

Atmosphere in. Hazard field out.

Each production checkpoint uses three consecutive atmospheric states, a peril-specific target, and spatial sampling designed for rare events. Yearly inference creates a consistent hourly archive for retrospective analysis.

01 / Hail

Hail magnitude

RegressionHybrid spatial sampling2021–2025 comparison

The model recovers the central and southern Plains hail corridor and most of the highest-ranked observed cells. Its risk field is smoother and more concentrated than the report-derived reference.

Figure 01 / Climatology

Click to enlarge
Production hail checkpoint.Values below 0.50 inch are removed before accumulation. The reference combines compatible storm-report and MRMS-derived labels for 2021–2025.
0.84spatial agreement
0.91rank agreement
71%top-decile hotspot capture
0.85neighborhood agreement

02 / Thunderstorm wind

Wind magnitude

RegressionHybrid spatial sampling2018–2025 comparison

The model captures the broad eastern-US wind corridor and places high-risk regions close to the report-derived hotspots. Absolute magnitude is too high and the spatial field is broader than the reference.

Figure 02 / Climatology

Click to enlarge
Production thunderstorm-wind checkpoint.Separate color scales preserve each field's structure; they also make the current magnitude-calibration gap visible.
0.77spatial agreement
0.70rank agreement
70%top-decile hotspot capture
0.89neighborhood agreement

03 / Tornado

Tornado probability

Binary probabilityRare-event sampling2016–2025 comparison

The production checkpoint recovers broad tornado geography and places predicted hotspots near many observed hotspots. It overpredicts absolute frequency, so the result supports spatial research—not calibrated event probability.

Figure 03 / Climatology

Click to enlarge
Production tornado checkpoint, recomputed for this site.The 2016–2025 comparison includes 87,649 hourly fields. Mean predicted frequency is overestimated; no calibrated-warning claim is made.
0.70spatial agreement
0.53rank agreement
62%top-decile hotspot capture
0.90neighborhood agreement

Method

One pipeline, peril-specific targets.

Shared machinery keeps the experiments comparable without pretending the hazards behave the same way.

01 / Inputs

Atmospheric state

Pressure-level wind, humidity, temperature, geopotential, potential vorticity, and vertical velocity are paired with surface instability, gust, wind, and dewpoint fields.

02 / Labels

Observed events

NOAA storm reports provide hail, wind, and tornado events. Hail experiments can also incorporate MRMS-derived fields with explicit overlap rules.

03 / Evaluation

Space and probability

Pattern agreement, rank agreement, hotspot capture, and neighborhood scores describe spatial behavior. Probability diagnostics are used for tornado.

OpenSCS

Collaborate on evaluation, event sets, or an open benchmark.