10A.1 An Overview of the 2024 NOAA Hazardous Weather Testbed Spring Forecasting Experiment

Wednesday, 15 January 2025: 10:45 AM
343 (New Orleans Ernest N. Morial Convention Center)
Adam J. Clark, NSSL, Norman, OK; and I. L. Jirak, T. A. Supinie, K. H. Knopfmeier, D. R. Harrison, J. Vancil, D. E. Jahn, C. Karstens, E. Loken, N. A. Dahl, D. A. Imy, A. Wade, J. Milne, K. A. Hoogewind, S. R. Ernst, J. Picca, M. D. Flournoy, M. E. Baldwin, P. Heinselman, M. L. Flora, J. Martin, B. C. Matilla, P. S. Skinner, and P. C. Burke

The 2024 Spring Forecasting Experiment (2024 SFE) was conducted from 29 April – 31 May by the Experimental Forecast Program (EFP) of the NOAA/Hazardous Weather Testbed (HWT), and co-led by the NWS/Storm Prediction Center (SPC) and OAR/National Severe Storms Laboratory (NSSL). Since 2023, SFEs have used a hybrid format, with both in-person and virtual participation. We have found that the hybrid format is ideal because we can engage those that cannot attend physically, while in-person participation enables invaluable science-based discussions and establishment of new collaborations. The 2024 SFE featured model contributions from NOAA Global Systems Laboratory (GSL), NOAA/NCEP Environmental Modeling Center (EMC), NOAA Geophysical Fluid Dynamics Laboratory (GFDL), NOAA/OAR National Severe Storms Laboratory (NSSL), the Global Modeling and Assimilation Office of NASA/Goddard Space Flight Center, and the National Center for Atmospheric Research. Similar to the previous year, a major emphasis was evaluating the Rapid Refresh Forecast System (RRFS) and the RRFS Ensemble Forecast System (REFS) for severe weather forecasting applications against their operational counterparts: the High-Resolution Rapid Refresh (HRRR) and High-Resolution Ensemble Forecast system (HREF), respectively. New testing and evaluation activities included an examination of global, data driven AI-based forecasting systems from GraphCast, Pangu Weather, and FourCastNet, and an expansion of evaluations involving the Model for Prediction Across Scales (MPAS), which included a REFS configuration where FV3 members were replaced by MPAS ones. Experimental forecasting activities involved generation of severe weather outlooks at Days 1-4, and short-term activities centered around NSSL’s prototype Warn-on-Forecast System. Specifically, in one of the short-term activities, a machine-learning-based product called WoFS-PHI, which uses predictors from both WoFS and the observation-based Prob-Severe system, was used to issue 0-1- and 1-2-h lead time hazard outlooks. The main goals of this talk will be to summarize SFE 2024 activities and highlight some preliminary results.
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