The Experimental Warning Program of NOAA’s Hazardous Weather Testbed

Autor: Kristin M. Calhoun, Darrel M. Kingfield, Kodi Berry, Alan Gerard, Makenzie J. Krocak, Travis M. Smith, Tiffany Meyer, Greg Stumpf
Rok vydání: 2021
Předmět:
Zdroj: Bulletin of the American Meteorological Society. 102:E2229-E2246
ISSN: 1520-0477
0003-0007
DOI: 10.1175/bams-d-21-0017.1
Popis: NOAA’s Hazardous Weather Testbed (HWT) is a physical space and research framework to foster collaboration and evaluate emerging tools, technology, and products for NWS operations. The HWT’s Experimental Warning Program (EWP) focuses on research, technology, and communication that may improve severe and hazardous weather warnings and societal response. The EWP was established with three fundamental hypotheses: 1) collaboration with operational meteorologists increases the speed of the transition process and rate of adoption of beneficial applications and technology, 2) the transition of knowledge between research and operations benefits both the research and operational communities, and 3) including end users in experiments generates outcomes that are more reliable and useful for society. The EWP is designed to mimic the operations of any NWS Forecast Office, providing the opportunity for experiments to leverage live and archived severe weather activity anywhere in the United States. During the first decade of activity in the EWP, 15 experiments covered topics including new radar and satellite applications, storm-scale numerical models and data assimilation, total lightning use in severe weather forecasting, and multiple social science and end-user topics. The experiments range from exploratory and conceptual research to more controlled experimental design to establish statistical patterns and causal relationships. The EWP brought more than 400 NWS forecasters, 60 emergency managers, and 30 broadcast meteorologists to the HWT to participate in live demonstrations, archive events, and data-denial experiments influencing today’s operational warning environment and shaping the future of warning research, technology, and communication for years to come.
Databáze: OpenAIRE
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