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Proceedings Paper

SSM/I and the Montagnana radar data fusion to analyze clouds over Tuscany
Author(s): Stefano Nativi; Paolo Mazzetti; Dino Giuli
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Paper Abstract

The present work empirically deals with the challenging problem of the integration of data obtained from passive and active microwave sources, in order to develop procedures to suitably calibrate and validate satellite-based passive microwave rainfall algorithms by means of multi parameter radar information over midlatitude areas. Furthermore, this research tires to analyze the well-known beam-filling problem and the different microwave channel penetration top9ic. SSM/I passive microwave radiometer precipitation related parameters were analyzed against multi parameter radar Zh and Zdr 3D maps, obtained from the POLAR-55C multi parameter radar set near Florence, Italy. SSM/I-derived parameters, related to rainfall over land were analyzed by means of information derived form radar volume data. We faced several statistical analyses of the obtained data sets. Results report the effectiveness of Montagnana radar and SSM/I data fusion. In particular, it is assessed the utility of utilizing both active and passive microwave hydrometeor-related information in order to improve the inferences about monitored phenomena. Results are valuable in order to better calibrate and validate passive microwave algorithms for rainfall rate estimation and for cloud detection over land. Correlation values may be improved by filtering radar data according to several parameters thresholds, in order to tackle beam-filling problem and statistical issues.

Paper Details

Date Published: 31 January 2001
PDF: 12 pages
Proc. SPIE 4168, Remote Sensing of Clouds and the Atmosphere V, (31 January 2001); doi: 10.1117/12.413857
Show Author Affiliations
Stefano Nativi, Univ. of Florence (Italy)
Paolo Mazzetti, Univ. of Florence (Italy)
Dino Giuli, Univ. of Florence (Italy)

Published in SPIE Proceedings Vol. 4168:
Remote Sensing of Clouds and the Atmosphere V
Jaqueline E. Russell; Klaus Schaefer; Olga Lado-Bordowsky, Editor(s)

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