aceModerate evidence
Published recordClimateThe Trace
More
Comparative Verification of IFS-Control, AIFS, and WeatherNext 2 Mean for Short-Range (6–84 h) Temperature and Precipitation Forecasts over Inner Mongolia
- Truvace record
- TRV-2026-2514raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Observational study
- Sources
- 1 sourcePeer-reviewed
- sha256
- 5841b05a6f34…check it
Whether advances in global weather forecasting translate into local forecast skill requires regional verification. Using observations at 117 stations in Inner Mongolia during the June–August 2026 flood season, we compared three publicly distributed forecast fields at 6–84 h lead times: the Integrated Forecasting System control forecast (IFS-Control), the Artificial Intelligence Forecasting System (AIFS), and WeatherNext 2’s 64-member ensemble mean (WN2). Because WN2 is an ensemble mean and the others are single…
55Gain side
How the two sides scoreClose call
56Problem side
The gain
In a verification against 117 Inner Mongolia stations over the June–August 2026 flood season, temperature mean absolute error was about 15.7% lower for AIFS and 13.1% lower for WeatherNext 2 than for the IFS-Control forecast.
The problem
In the same station-based study, both AI products under-forecast heavy-rain frequency and extremes, and IFS-Control clearly beat AIFS for 6-hour heavy rain (13 mm or more).
A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.
What the scores mean
G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.
P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.
What this doesn’t fix
The findings apply only to the product versions, region and season evaluated, and the comparison pits an ensemble mean against single deterministic forecasts, so it cannot isolate the underlying models.
Sources
1 on file- Atmospheredoi:10.3390/atmos17111053
Cite this record
v1Truvace Impact Record TRV-2026-2514, v1: “Comparative Verification of IFS-Control, AIFS, and WeatherNext 2 Mean for Short-Range (6–84 h) Temperature and Precipitation Forecasts over Inner Mongolia.” Truvace, 2026-11-12. /record/TRV-2026-2514 (accessed on the day you copy it). sha256 5841b05a6f34fdde…
Change history
1 versionEvery change made to this record since it was first published, and why. Nothing has changed since it went up.
Certified into the record
Check this record hasn’t been altered
How to check it yourself, without trusting this page
Download any version from /api/record/TRV-2026-2514 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.