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Results and Insights on Next-Generation Models from a Real-Time Severe Weather

delete2026-04-01
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PRE
AI
A
Adam J. Clark *
I
Israel L. Jirak
G
Galarneau Jr, Thomas J.
K
Kent H. Knopfmeier
J
Jake Vancil
M
Miranda Silcott
D
David E. Jahn
C
Christopher D. Karstens
E
Eric D. Loken
J
Joseph C. Picca
M
Michael E. Baldwin
B
Brian C. Matilla
DOI:10.1175/BAMS-D-25-0323.1delete
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Abstract

Abstract

En 中文
The 2025 NOAA Hazardous Weather Testbed Spring Forecasting Experiment What: Over 131 forecasters and researchers engaged in real-time severe weather forecasting and evaluation activities to accelerate research-to-operations for next-generation severe weather prediction technologies and prospective operational regional models. Major emphases of Spring Forecasting Experiment (SFE) 2025 included 1) the Rapid Refresh Forecast System (RRFS) and RRFS Ensemble Forecast System (REFS), 2) the Model for Prediction Across Scales, 3) global and regional artificial intelligence (AI)-based NWP emulators, and 4) new visualizations for the Warn-on-Forecast System (WoFS). When: 28 April-30 May 2025 Where: Norman, Oklahoma, and Online
Keywords:
Ensembles
Forecast verification/skill
Numerical weather prediction/ forecasting
Operational forecasting

Journal

Bulletin of the American Meteorological Society cover
Bulletin of the American Meteorological Society
IF:
5.9
Papers:
3.7K
Citations:
2.7W

Organization

N
national oceanic atmospheric admin (noaa) - usa
Scholars:
1.4W
Papers: 1.1W
Citations: 10
Cited Papers

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Citing Papers

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