P. Heinselman, P. Burke, Louis J. Wicker, Adam J. Clark, J. Kain, Jidong Gao, N. Yussouf, Thomas A. Jones, P. Skinner, C. Potvin, Katie A. Wilson, Burkely T. Gallo, Montgomery Flora, Joshua Martin, Gerry Creager, K. Knopfmeier, Yunheng Wang, B. Matilla, David C. Dowell, E. Mansell, Brett Roberts, K. Hoogewind, Derek R. Stratman, Jorge E. Guerra, Anthony E. Reinhart, Christopher A. Kerr, William J. S. Miller
{"title":"预测预警系统:从设想到现实","authors":"P. Heinselman, P. Burke, Louis J. Wicker, Adam J. Clark, J. Kain, Jidong Gao, N. Yussouf, Thomas A. Jones, P. Skinner, C. Potvin, Katie A. Wilson, Burkely T. Gallo, Montgomery Flora, Joshua Martin, Gerry Creager, K. Knopfmeier, Yunheng Wang, B. Matilla, David C. Dowell, E. Mansell, Brett Roberts, K. Hoogewind, Derek R. Stratman, Jorge E. Guerra, Anthony E. Reinhart, Christopher A. Kerr, William J. S. Miller","doi":"10.1175/waf-d-23-0147.1","DOIUrl":null,"url":null,"abstract":"In 2009, advancements in NWP and computing power inspired a vision to advance hazardous weather warnings from a Warn-on-Detection to a Warn-on-Forecast paradigm. This vision would require not only the prediction of individual thunderstorms and their attributes but the likelihood of their occurrence in time and space. During the last decade, the Warn-on-Forecast research team at the NOAA National Severe Storms Laboratory met this challenge through the research and development of 1) an ensemble of high-resolution convection-allowing models, 2) ensemble- and variational- based assimilation of weather radar, satellite, and conventional observations, and 3) unique post-processing and verification techniques, culminating in the experimental Warn-on-Forecast System (WoFS). Since 2017, we have directly engaged users in the testing, evaluation, and visualization of this system to ensure that WoFS guidance is usable and useful to operational forecasters at NOAA national centers and local offices responsible for forecasting severe weather, tornadoes, and flash floods across the Watch-to-Warning continuum. Although an experimental WoFS is now a reality, we close by discussing many of the exciting opportunities remaining, including folding this system into the Unified Forecast System, transitioning WoFS into NWS operations, and pursuing next-decade science goals for further advancing storm-scale prediction.","PeriodicalId":49369,"journal":{"name":"Weather and Forecasting","volume":"10 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Warn-on-Forecast System: From Vision to Reality\",\"authors\":\"P. Heinselman, P. Burke, Louis J. Wicker, Adam J. Clark, J. Kain, Jidong Gao, N. Yussouf, Thomas A. Jones, P. Skinner, C. Potvin, Katie A. Wilson, Burkely T. Gallo, Montgomery Flora, Joshua Martin, Gerry Creager, K. Knopfmeier, Yunheng Wang, B. Matilla, David C. Dowell, E. Mansell, Brett Roberts, K. Hoogewind, Derek R. Stratman, Jorge E. Guerra, Anthony E. Reinhart, Christopher A. Kerr, William J. S. Miller\",\"doi\":\"10.1175/waf-d-23-0147.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In 2009, advancements in NWP and computing power inspired a vision to advance hazardous weather warnings from a Warn-on-Detection to a Warn-on-Forecast paradigm. This vision would require not only the prediction of individual thunderstorms and their attributes but the likelihood of their occurrence in time and space. During the last decade, the Warn-on-Forecast research team at the NOAA National Severe Storms Laboratory met this challenge through the research and development of 1) an ensemble of high-resolution convection-allowing models, 2) ensemble- and variational- based assimilation of weather radar, satellite, and conventional observations, and 3) unique post-processing and verification techniques, culminating in the experimental Warn-on-Forecast System (WoFS). 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In 2009, advancements in NWP and computing power inspired a vision to advance hazardous weather warnings from a Warn-on-Detection to a Warn-on-Forecast paradigm. This vision would require not only the prediction of individual thunderstorms and their attributes but the likelihood of their occurrence in time and space. During the last decade, the Warn-on-Forecast research team at the NOAA National Severe Storms Laboratory met this challenge through the research and development of 1) an ensemble of high-resolution convection-allowing models, 2) ensemble- and variational- based assimilation of weather radar, satellite, and conventional observations, and 3) unique post-processing and verification techniques, culminating in the experimental Warn-on-Forecast System (WoFS). Since 2017, we have directly engaged users in the testing, evaluation, and visualization of this system to ensure that WoFS guidance is usable and useful to operational forecasters at NOAA national centers and local offices responsible for forecasting severe weather, tornadoes, and flash floods across the Watch-to-Warning continuum. Although an experimental WoFS is now a reality, we close by discussing many of the exciting opportunities remaining, including folding this system into the Unified Forecast System, transitioning WoFS into NWS operations, and pursuing next-decade science goals for further advancing storm-scale prediction.
期刊介绍:
Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.