Satellite-Based Characterization of Convection and Impacts from the Catastrophic 10 August 2020 Midwest U.S. Derecho

Author:

Bell Jordan R.1,Bedka Kristopher M.2,Schultz Christopher J.1,Molthan Andrew L.1,Bang Sarah D.1,Glisan Justin3,Ford Trent4,Lincoln W. Scott5,Schultz Lori A.1,Melancon Alexander M.6,Wisinski Emily F.6,Itterly Kyle7,Homeyer Cameron R.8,Cecil Daniel J.1,Cogil Craig9,Donavon Rodney9,Lenning Eric5,Wolf Ray10

Affiliation:

1. Earth Science Branch, NASA/Marshall Space Flight Center, Huntsville, Alabama;

2. NASA Langley Research Center, Hampton, Virginia;

3. Iowa Department of Agriculture and Land Stewardship, Des Moines, Iowa;

4. Illinois State Water Survey, University of Illinois at Urbana–Champaign, Champaign, Illinois;

5. NOAA/NWS Weather Forecast Office, Chicago, Illinois;

6. Department of Atmospheric Science, University of Alabama in Huntsville, Huntsville, Alabama;

7. Science Systems and Applications, Inc., Hampton, Virginia;

8. School of Meteorology, University of Oklahoma, Norman, Oklahoma;

9. NOAA/NWS Weather Forecast Office, Des Moines, Iowa;

10. NOAA/NWS Weather Forecast Office, Davenport, Iowa

Abstract

Abstract The catastrophic derecho that occurred on 10 August 2020 across the midwestern United States caused billions of dollars of damage to both urban and rural infrastructure as well as agricultural crops, most notably across the state of Iowa. This paper documents the complex evolution of the derecho through the use of low-Earth-orbit passive-microwave imager and GOES-16 satellite-derived products complemented by products derived from NEXRAD weather radar observations. Additional satellite sensors including optical imagers and synthetic aperture radar (SAR) were used to observe impacts to the power grid and agriculture in Iowa. SAR improved the identification and quantification of damaged corn and soybeans, as compared to true-color composites and normalized difference vegetation index (NDVI). A statistical approach to identify damaged corn and soybean crops from SAR was created with estimates of 1.97 million acres of damaged corn and 1.40 million acres of damaged soybeans in the state of Iowa. The damage estimates generated by this study were comparable to estimates produced by others after the derecho, including two commercial agricultural companies.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference83 articles.

1. ASF, 2021: RGB decomposition. Alaska Satellite Facility, GitHub, accessed 15 April 2021, https://github.com/ASFHyP3/hyp3-lib/blob/develop/docs/rgb_decomposition.md.

2. Remote sensing of hail with a dual linear polarization radar;Aydin, K.,1986

3. Constructing a multifrequency passive microwave hail retrieval and climatology in the GPM domain;Bang, S. D.,2019

4. Testing passive microwave-based hail retrievals using GPM DPR Ku-band radar;Bang, S. D.,2021

5. The above-anvil cirrus plume: An important severe weather indicator in visible and infrared satellite imagery;Bedka, K.,2018

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