MULTIPLE SATELLITE MICROWAVE RETRIEVAL OF TROPICAL CYCLONE RAIN RATE AND WARM CORE STRUCTURE

被引：0

作者：

Liu, Shuyan ^{[1
,3
]}

Grassotti, Christopher ^{[2
,3
]}

Liu, Quanhua ^{[3
]}

Lee, Yong-Keun ^{[2
,3
]}

Honeyager, Ryan ^{[3
,4
]}

机构：

[1] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA

[2] Univ Maryland, Cooperat Inst Climate & Satellites, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA

[3] NOAA, Ctr Satellite Applicat & Res, Natl Environm Satellite Data & Informat Serv, Silver Spring, MD 20910 USA

[4] IM Syst Grp, Rockville, MD USA

来源：

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年

关键词：

MiRS; Microwave; Tropical cyclone; warm core;

D O I：

10.1109/igarss.2019.8900248

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Rain and temperature retrievals from a common algorithm based on microwave sensors onboard five polar orbiting satellites are included to study tropical cyclone (TC) rain rate characteristics and warm core structure. The retrieval algorithm used here is NOAA's operational Microwave Integrated Retrieval System (MiRS). The five satellites/sensors are S-NPP/ATMS, NOAA-20/ATMS, Metop-B/AMSUA-MHS, Metop-C/AMSUA-MHS, and GPM/GMI. Hurricane Florence occurred, which occured in the Atlantic basin in 2018, is chosen as the study case. Hurricane Matthew in 2016 (before NOAA-20 and Metop-C were launched) is also included to illustrate warm core structure retrieved by MiRS.

引用

页码：9859 / 9862

页数：4

共 4 条

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[4]

Passive Microwave Algorithm Team Facility, 2014, GLOB PREC MEAS GPM M

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