A retrieval algorithm of atmospheric water vapor and cloud liquid water for AMSR-E

Author

Kazumori, Masahiro

Author_Institution

Japan Meteorol. Agency, Japan

fYear

2010

fDate

1-4 March 2010

Firstpage

177

Lastpage

180

Abstract

A retrieval algorithm of atmospheric water vapor and cloud liquid water for Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) was developed. The algorithm uses a simple radiative transfer model which is composed of single atmospheric layer and ocean surface. The atmospheric transmittance was derived from an iteration calculation using vertical mean temperature estimated from ancillary 850 hPa temperature data and observed AMSR-E brightness temperature. The algorithm is applicable for other microwave instruments. The retrieved atmospheric water vapor is expected to be used in Japan Meteorological Agency (JMA) operational Meso-scale analysis and forecast. In a case study on heavy ram event in Japan, assimilation of the retrieved atmospheric water vapor from Special Sensor Microwave Imager Sounder (SSMIS) showed intensified moisture flows in the Meso-scale analysis and forecast and produced a strong rainfall band in the forecast.

Keywords

atmospheric humidity; atmospheric movements; atmospheric techniques; atmospheric temperature; radiative transfer; Advanced Microwave Scanning Radiometer; Earth Observing System; Japan Meteorological Agency; Special Sensor Microwave Imager Sounder; atmospheric transmittance; atmospheric water vapor; brightness temperature; cloud liquid water; data assimilation; iteration calculation; mesoscale analysis; microwave instruments; microwave radiometer; radiative transfer model; retrieval algorithm; temperature data; vertical mean temperature; AMSR-E; Microwave radiometer; cloud liquid water; data assimilation; water vapor;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2010 11th Specialist Meeting on

Conference_Location

Washington, DC

Print_ISBN

978-1-4244-8120-0

Electronic_ISBN

978-1-4244-8121-7

Type

conf

DOI

10.1109/MICRORAD.2010.5559567

Filename

5559567