Quantifying Precipitation Efficiency and Drivers of Excessive Precipitation in Post-Landfall Hurricane Harvey

Author:

Brauer Noah S.1,Basara Jeffrey B.2,Homeyer Cameron R.3,McFarquhar Greg M.4,Kirstetter Pierre E.5

Affiliation:

1. Advanced Radar Research Center, School of Meteorology, University of Oklahoma, Norman, Oklahoma

2. School of Meteorology, and School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma

3. School of Meteorology, University of Oklahoma, Norman, Oklahoma

4. School of Meteorology, University of Oklahoma, and Cooperative Institute for Mesoscale Meteorological Studies, Norman, Oklahoma

5. Advanced Radar Research Center, School of Meteorology, University of Oklahoma, and NOAA National Severe Storms Laboratory, Norman, Oklahoma

Abstract

AbstractHurricane Harvey produced unprecedented widespread rainfall amounts over 1000 mm in portions of southeast Texas, including Houston, from 26 to 31 August 2017. The highly efficient and prolonged warm rain processes associated with Harvey played a key role in the catastrophic flooding that occurred throughout the region. Precipitation efficiency (PE) is widely referred to in the scientific literature when discussing excessive precipitation events that lead to catastrophic flash flooding, but has yet to be explored or quantified in tropical cyclones coincident with polarimetric radar observations. With the introduction of dual-polarization radar to the NEXRAD WSR-88D network, polarimetric radar variables such as ZH, ZDR, and KDP can be used to gain insight into the precipitation processes that contribute to enhanced PE. It was found that 6-h mean values of ZH between 35 and 45 dBZ, ZDR between 1 and 1.5 dB, and KDP greater than 1° km−1 were collocated with the regions of PE greater than 100% between 27 and 29 August. Additionally, supercell thunderstorms embedded in the outer bands of Harvey were identified via 3–6 km Multi-Radar Multi-Senor (MRMS) rotation tracks and were collocated with swaths of enhanced positive ZH, ZDR, and KDP. A polarimetric rainfall relationship estimates that 1-h mean rainfall rates in these supercells were as high as 85 mm h−1 and made a significant contribution to the excessive precipitation event that occurred over the region.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference78 articles.

1. Flood fatalities in the United States;Ashley;J. Appl. Meteor. Climatol.,2008

2. Relation between measured radar reflectivity and surface rainfall;Austin;Mon. Wea. Rev.,1987

3. Differential reflectivity calibration for operational radars;Bechini;J. Atmos. Oceanic Technol.,2008

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