Warn-on-Forecast System: From Vision to Reality

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
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
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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.
预测预警系统:从设想到现实
2009 年,NWP 和计算能力的进步激发了将危险天气预警从 "检测预警 "模式推进到 "预报预警 "模式的愿景。这一愿景不仅需要预测单个雷暴及其属性,还需要预测其在时间和空间上发生的可能性。在过去的十年中,美国国家海洋和大气管理局国家强风暴实验室的预报预警研究团队通过以下研究和开发应对了这一挑战:1)高分辨率对流允许模型集合;2)基于天气雷达、卫星和常规观测的集合和变异同化;3)独特的后处理和验证技术,最终形成了试验性的预报预警系统(WoFS)。自 2017 年以来,我们直接让用户参与了该系统的测试、评估和可视化工作,以确保 WoFS 指导对 NOAA 国家中心和地方办事处负责预报恶劣天气、龙卷风和山洪的业务预报员来说是可用和有用的,并贯穿了从观察到预警的连续过程。虽然 WoFS 的试验性工作已经完成,但我们在结束时讨论了许多令人兴奋的机遇,包括将该系统纳入统一预报系统、将 WoFS 过渡到国家气象局的业务中,以及追求下一个十年的科学目标以进一步推进风暴尺度预报。
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来源期刊
Weather and Forecasting
Weather and Forecasting 地学-气象与大气科学
CiteScore
5.20
自引率
17.20%
发文量
131
审稿时长
6-12 weeks
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.
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