A TRMM-based tropical cyclone cloud and precipitation feature database

Publication Date June 30, 2011
Author Jiang, HaiyanChuntao LiuEdward J. Zipser
Countries :
Disaster Management Theme -
Disaster Type Tropical Cyclone
Document Type Research Paper
Languange English

Abstact :
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 research aiming to improve both TC intensification and rainfall forecasts. Using the TRMM TCPF database, regional variations of TC convection and diurnal variations of TC rainfall are examined. In terms of absolute number, the northwest Pacific Ocean basin has the deepest and most intense TCPFs according to IR, radar, and 85-GHz microwave measurements. However, the North Atlantic TCPFs appear to have the highest lightning production. Globally, TC rainfall has a maximum at 0430–0730 local solar time (LST) and a minimum around 1930–2230 LST. However, after separating ocean from land, a distinct difference is seen. Over land, the diurnal variation of TC rainfall shows double peaks: one around 0130–0730 LST and the other at 1630–1930 LST. The minimum is at 1030–1330 LST.
The ASEAN Disaster Information Network (ADINet) is a repository of information concerning hazards and disasters that have happened in the region. The platform is open for public, which means that the public can submit information about any hazard and disaster to the AHA Centre. Thereafter, the AHA Centre will verify and validate any submitted information to ensure the accuracy of the data inputs. The AHA Centre can also add new information when relevant and as necessary. ADINET has been recording disaster information in the region since the AHA Centre was operational in 2012.

Supported by :

AHA-JAIF
ADINet Assistant
clear chat
Hello! Welcome to the ADINet Assistant. Feel free to ask me anything about disaster data, or type "help" to see the available topics. 18:57