SSM/I and the Montagnana radar data fusion to analyze clouds over Tuscany

Stefano Nativi; Paolo Mazzetti; Dino Giuli

doi:10.1117/12.413857

31 January 2001 SSM/I and the Montagnana radar data fusion to analyze clouds over Tuscany

Stefano Nativi, Paolo Mazzetti, Dino Giuli

Proceedings Volume 4168, Remote Sensing of Clouds and the Atmosphere V; (2001) https://doi.org/10.1117/12.413857
Event: Europto Remote Sensing, 2000, Barcelona, Spain

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.

Citation Download Citation

Stefano Nativi, Paolo Mazzetti, and Dino Giuli "SSM/I and the Montagnana radar data fusion to analyze clouds over Tuscany", Proc. SPIE 4168, Remote Sensing of Clouds and the Atmosphere V, (31 January 2001); https://doi.org/10.1117/12.413857

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