Warn-on-Forecast System: From Vision to Reality

Author:

Heinselman Pamela L.12ORCID,Burke Patrick C.1,Wicker Louis J.12,Clark Adam J.12,Kain John S.13,Gao Jidong12,Yussouf Nusrat142,Jones Thomas A.142,Skinner Patrick S.142,Potvin Corey K.12,Wilson Katie A.145,Gallo Burkely T.467,Flora Montgomery L.142,Martin Joshua14,Creager Gerry14,Knopfmeier Kent H.14,Wang Yunheng14,Matilla Brian C.14,Dowell David C.8,Mansell Edward R.1,Roberts Brett149,Hoogewind Kimberly A.14,Stratman Derek R.14,Guerra Jorge1410,Reinhart Anthony E.1,Kerr Christopher A.14,Miller William1411

Affiliation:

1. a NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma

2. c School of Meteorology, University of Oklahoma, Norman, Oklahoma

3. j IBSS Corp., Silver Spring, Maryland

4. b Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, Oklahoma

5. g Rand Corporation, Santa Monica, California

6. d NOAA/NWS/NCEP Storm Prediction Center, Norman, Oklahoma

7. h 16th Weather Squadron, Offutt Air Force Base, Bellevue, Nebraska

8. e NOAA/Earth System Research Laboratories/Global Systems Laboratory, Boulder, Colorado

9. i CoreLogic, Irvine, California

10. k Project Canary, Denver, Colorado

11. f Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, Maryland

Abstract

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 postprocessing 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. Significance Statement The purpose of this research is to develop an experimental prediction system that forecasts the probability for severe weather hazards associated with individual thunderstorms up to 6 h in advance. This capability is important because some people and organizations, like those living in mobile homes, caring for patients in hospitals, or managing large outdoor events, require extended lead time to protect themselves and others from potential severe weather hazards. Our results demonstrate a prediction system that enables forecasters, for the first time, to message probabilistic hazard information associated with individual severe storms between the watch-to-warning time frame within the United States.

Funder

Cooperative Institute for Severe and High-Impact Weather Research and Operations

GSL

NSSL

Publisher

American Meteorological Society

Subject

Atmospheric Science

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