Effects of uncertainty in cloud microphysics on passive microwave rainfall measurements

Ju Hye Kim, Dong Bin Shin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Physically-based retrieval algorithms for passive microwave radiometers have been used to monitor global rainfalls. The most important part of the algorithms may be accurate knowledge on the a-priori databases for the inversion of rainfalls. This study investigates the impacts of the uncertainties in a-priori databases associated with assumed cloud microphysics on rainfall measurements especially for extreme rain events. The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and Precipitation Radar (PR) observations of Typhoon Sudal (2004) are used for the generation of rainfall databases and rainfall target scenes. Six different microphysics schemes are evaluated to better represent the rainfall structure of an intense tropical cyclone (TC).

Original languageEnglish
Title of host publication2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages2633-2636
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
Duration: 2011 Jul 242011 Jul 29

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Country/TerritoryCanada
CityVancouver, BC
Period11/7/2411/7/29

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • General Earth and Planetary Sciences

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