Developing a Hail and Wind Damage Swath Event Database from Daily MODIS True Color Imagery and Storm Reports for Impact Analysis and Applications

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
J. Bell, Emily F. Wisinski, A. Molthan, C. Schultz, Emma Gilligan, Kaylee G. Sharp
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引用次数: 0

Abstract

Hail and damaging winds are two threats associated with intense and severe thunderstorms that traverse the Midwest and Great Plains during the primary growing season. In certain severe thunderstorm events, large swaths of agricultural crops are impacted, allowing the damage to be viewed from multiple satellite remote sensing platforms. Previous studies have focused on analyzing individual hail and wind damage swaths (HWDSs) using satellite remote sensing, but these swaths have never been officially archived or documented. This lack of documentation has made it difficult to analyze the spatial extent and temporal frequency of HWDSs from year to year. This study utilizes daily true color imagery from MODIS aboard NASA’s Terra and Aqua satellites and daily local storm reports from the Storm Prediction Center to build a database of HWDSs occurring in the months of May through August, for years 2000 through 2020. This database identified 1,646 HWDSs in 12 states throughout the Midwest and Great Plains, confirmed through a combination of archived severe weather warnings, radar information, and official storm reports. For each entry in the HWDS database, a geospatial outline is provided along with the most likely date of first visible damage from MODIS imagery as well as the physical characteristics and time of occurrence estimated from available warnings. This study also provides a summary of the radar characteristics for a portion of the database. This database will further the understanding of severe weather damage by hail and wind to agriculture to help understand the frequency of these events and assist in mapping the impacted areas.
从每日MODIS真彩色图像和风暴报告中开发冰雹和风力损害事件数据库,用于影响分析和应用
冰雹和破坏性大风是在主要生长季节横穿中西部和大平原的强烈和严重雷暴的两大威胁。在某些严重的雷暴事件中,大片农作物受到影响,从而可以从多个卫星遥感平台上观察到破坏情况。以前的研究主要集中在使用卫星遥感分析单个冰雹和风力损害区域(hwds),但这些区域从未被正式存档或记录。由于缺乏文献资料,很难分析每年hwds的空间范围和时间频率。本研究利用美国宇航局Terra和Aqua卫星上的MODIS每日真彩图像,以及风暴预测中心的每日本地风暴报告,建立了2000年至2020年5月至8月发生的hwds数据库。该数据库通过存档的恶劣天气预警、雷达信息和官方风暴报告,在中西部和大平原的12个州确定了1,646个hwds。对于HWDS数据库中的每个条目,提供地理空间轮廓,以及MODIS图像中最可能出现第一次可见损害的日期,以及根据现有警告估计的物理特征和发生时间。本研究还提供了部分数据库的雷达特性摘要。该数据库将进一步了解冰雹和风对农业造成的严重天气损害,以帮助了解这些事件的频率,并协助绘制受影响地区的地图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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