Analyzing Tornado Warning Performance during Individual Storm Life Cycles

Author:

Chamberlain Josué U.1,Flournoy Matthew D.23,Krocak Makenzie J.425,Brooks Harold E.36,Anderson-Frey Alexandra K.7

Affiliation:

1. a Department of Meteorology and Climate Science, San Jose State University, San Jose, California

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

3. c NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma

4. d University of Oklahoma Institute for Public Policy Research and Analysis, Norman, Oklahoma

5. e NOAA/NWS/NCEP/Storm Prediction Center, Norman, Oklahoma

6. f School of Meteorology, University of Oklahoma, Norman, Oklahoma

7. g Department of Atmospheric Sciences, University of Washington, Seattle, Washington

Abstract

Abstract The National Weather Service plays a critical role in alerting the public when dangerous weather occurs. Tornado warnings are one of the most publicly visible products the NWS issues given the large societal impacts tornadoes can have. Understanding the performance of these warnings is crucial for providing adequate warning during tornadic events and improving overall warning performance. This study aims to understand warning performance during the lifetimes of individual storms (specifically in terms of probability of detection and lead time). For example, does probability of detection vary based on if the tornado was the first produced by the storm, or the last? We use tornado outbreak data from 2008 to 2014, archived NEXRAD radar data, and the NWS verification database to associate each tornado report with a storm object. This approach allows for an analysis of warning performance based on the chronological order of tornado occurrence within each storm. Results show that the probability of detection and lead time increase with later tornadoes in the storm; the first tornadoes of each storm are less likely to be warned and on average have less lead time. Probability of detection also decreases overnight, especially for first tornadoes and storms that only produce one tornado. These results are important for understanding how tornado warning performance varies during individual storm life cycles and how upstream forecast products (e.g., Storm Prediction Center tornado watches, mesoscale discussions, etc.) may increase warning confidence for the first tornado produced by each storm. Significance Statement In this study, we focus on better understanding real-time tornado warning performance on a storm-by-storm basis. This approach allows us to examine how warning performance can change based on the order of each tornado within its parent storm. Using tornado reports, warning products, and radar data during tornado outbreaks from 2008 to 2014, we find that probability of detection and lead time increase with later tornadoes produced by the same storm. In other words, for storms that produce multiple tornadoes, the first tornado is generally the least likely to be warned in advance; when it is warned in advance, it generally contains less lead time than subsequent tornadoes. These findings provide important new analyses of tornado warning performance, particularly for the first tornado of each storm, and will help inform strategies for improving warning performance.

Funder

Office of Education

National Oceanic and Atmospheric Administration

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference38 articles.

1. Investigation of near-storm environments for tornado events and warnings;Anderson-Frey, A. K.,2016

2. Near-storm environments of outbreak and isolated tornadoes;Anderson-Frey, A. K.,2018

3. Warning decision making: The relative roles of conceptual models, technology, strategy, and forecaster expertise on 3 May 1999;Andra, D. L.,2002

4. Vulnerability due to nocturnal tornadoes;Ashley, W. S.,2008

5. An analysis of 2016–18 tornadoes and National Weather Service tornado warnings across the contiguous United States;Bentley, E. S.,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3