A Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction
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2021
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Source Bulletin of the American Meteorological Society, 102(4), E814-E816
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Available in CDC Stacks on 2021-10-24T00:00:00Z
Details
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Journal Title:Bulletin of the American Meteorological Society
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Personal Author:Clark, Adam J. ; Jirak, Israel L. ; Gallo, Burkely T. ; Roberts, Brett ; Dean, Andrew R. ; Knopfmeier, Kent H. ; Wicker, Louis J. ; Krocak, Makenzie ; Skinner, Patrick S. ; Heinselman, Pamela L. ; Wilson, Katie A. ; Vancil, Jake ; Hoogewind, Kimberly A. ; Dahl, Nathan A. ; Creager, Gerald J. ; Jones, Thomas A. ; Gao, Jidong ; Wang, Yunheng ; Loken, Eric D. ; Flora, Montgomery ; Kerr, Christopher A. ; Yussouf, Nusrat ; Dembek, Scott R. ; Miller, William ; Martin, Joshua ; Guerra, Jorge ; Matilla, Brian ; Jahn, David ; Harrison, David ; Imy, David ; Coniglio, Michael C.
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NOAA Program & Office:
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Description:The NWS/Storm Prediction Center (SPC) and OAR/National Severe Storms Laboratory (NSSL) co-led the 2020 NOAA Hazardous Weather Testbed Spring Forecasting Experiment (2020 SFE) virtually to evaluate new convection-allowing models (CAMs) and ensembles, post-processing strategies, and severe weather prediction tools for accelerated transition to operations. SFE 2020 included worldwide participation from about 100 forecasters, researchers, and students. Gathering these different parts of the community facilitates research-tooperations and operations-to-research pathways that allow forecasters to interact and learn from researchers, and researchers to better understand forecaster needs and challenges.
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Source:Bulletin of the American Meteorological Society, 102(4), E814-E816
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DOI:
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Rights Information:Other
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Compliance:Submitted
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Main Document Checksum:urn:sha256:df8b8a2d2dd0325029888a1882abe128a6b938d8330c4e3fe3d1ea1bb1f85d06
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