The Bayesian Algorithm for Microwave Precipitation Retrieval (BAMPR): potential and application to TRMM data

Author

Di Michele, S. ; Tassa, A. ; Mugnai, A. ; Marzano, F.S.

Author_Institution

Ist. di Sci. dell´´ Atmosfera e del Clima (ISAC), CNR, Rome, Italy

Volume

5

fYear

2003

fDate

2003

Firstpage

3142

Abstract

The Bayesian Algorithm for Microwave Precipitation Retrieval (BAMPR) is a cloud resolving model (CRM)-based retrieval technique for estimating surface rainfall and precipitating cloud profiles by means of microwave radiometric measurements from space. In this paper is illustrated the version of BAMPR tailored for the multi-frequency microwave radiometer aboard of the Tropical Rainfall Measuring Mission (TRMM), called TRMM Microwave Imager (TMI). Since the inversion procedure is based on a cloud-radiation database (CRD) pre-generated by performing radiative transfer calculations on the CRM numerical outputs, the important aspect of CRD representativeness is described. Results of applying BAMPR to a selected event observed by TRMM are finally discussed.

Keywords

atmospheric techniques; clouds; numerical analysis; radiative transfer; radiometry; rain; Bayesian Algorithm; Microwave Precipitation Retrieval; Tropical Microwave Imager; Tropical rainfall Measuring Mission data; cloud resolving model-based retrieval technique; cloud-radiation database; multifrequency microwave radiometer; numerical outputs; precipitating cloud profiles; radiative transfer; surface rainfall; Bayesian methods; Brightness temperature; Clouds; Databases; Information retrieval; Microwave measurements; Microwave radiometry; Microwave sensors; Microwave theory and techniques; Spaceborne radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1294709

Filename

1294709