Sparse stations plus satellites yield 30m weather, error down 11–28%
Fusing sparse weather stations with satellite observations infers 30m-resolution temperature, dew point and wind across the US without resolving atmospheric dynamics.
ImportanceLocalEvidenceE2 unreplicated
You can now obtain 30m-resolution temperature, dew point and wind fields across the contiguous US without resolving atmospheric dynamics: fusing sparse weather stations, high-resolution Earth observation and coarse-resolution atmospheric dynamics cuts error by 11–28% versus the strongest baseline.
Previously, obtaining near-surface weather fields at this scale required numerical models that resolve atmospheric dynamics.
Giezendanner, Wang and eight co-authors self-report: in spatiotemporal holdout tests, error falls 11–28% versus the strongest baseline, and at the median grid cell close to half the temperature variance is explained.
The results have not been peer-reviewed or independently verified; the arXiv preprint was first submitted 26 February 2026 and updated to v2 on 15 September.