Methodology

How each StormAuditor tool produces its values — published openly so anyone can understand, question, and re-check our approach against the public weather record.

Every value, documented

StormAuditor publishes how each product derives its numbers so anyone can understand, question, and re-check the approach against the public weather record. The two core engines are SAWE-2 (wind) — URMA analysis-of-record background adjusted by measured station gusts and storm reports through a calibrated objective analysis — and SAHE-2 (hail) — MRMS MESH radar estimates cross-referenced with warnings and ground reports.

Also documented here

Wind estimates are verified leave-one-station-out against held-back measurements, with statistics published on the wind page. Sources live on Data Sources; caveats on Limitations.

The aggregated datasets these methods produce may be reused with attribution under the data license, and any single estimate can be unpacked line by line with an Explainer Report.

Primary source documentation

Every dataset StormAuditor uses is public and officially documented — verify any layer at the source: