A TRMM-Based Tropical Cyclone Cloud and Precipitation Feature Database | Zendy

Haiyan Jiang | Zendy; Chuntao Liu | Zendy; Edward J. Zipser | Zendy

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A TRMM-Based Tropical Cyclone Cloud and Precipitation Feature Database

Author(s) -

Haiyan Jiang,

Chuntao Liu,

Edward J. Zipser

Publication year - 2011

Publication title -

journal of applied meteorology and climatology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.079

H-Index - 134

eISSN - 1558-8432

pISSN - 1558-8424

DOI - 10.1175/2011jamc2662.1

Subject(s) - tropical cyclone , precipitation , environmental science , radar , satellite , meteorology , climatology , database , storm , lightning (connector) , convection , tropical cyclone rainfall forecasting , remote sensing , cyclone (programming language) , geology , computer science , geography , telecommunications , power (physics) , physics , quantum mechanics , aerospace engineering , field programmable gate array , computer hardware , engineering

The Tropical Rainfall Measuring Mission (TRMM) satellite has provided invaluable data for tropical cyclone (TC) research since December 1997. The challenge, however, is how to analyze and efficiently utilize all of the information from several instruments on TRMM that observe the same target. In this study, a tropical cyclone precipitation, cloud, and convective cell feature (TCPF) database has been developed by using observations of the TRMM precipitation radar (PR), Microwave Imager (TMI), Visible and Infrared Scanner (VIRS), Lightning Imaging System (LIS), and the TRMM 3B42 rainfall product. The database is based on an event-based method that analyzes the measurements from multiple sensors. This method condenses the original information of pixel-level measurements into the properties of events, which can significantly increase the efficiency of searching and sorting the observed historical TCs. With both convective and rainfall properties included, the database offers the potential to aid the r...

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