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Methodology for the Rainfall Estimation from Satellite Data


The automatic near real time operational chain for rain estimation processes MSG infrared (IR) and SSM/I Microwave (MW) data. It merges the advantages of space resolution and refresh time of MSG data with rainfall estimation sensitivity of SSM/I observations.

This procedure essentially starts building a kind of Look-Up Table (algorithm developed by J.turk at the Naval Research Laboratory), in order to match brightness temperature measured by MSG with corresponding (i.e. space-time co-located) rain rates retrieved by SSM/I MW observations (NOAA-NESDIS Ferraro's algorithm).

SSM/I data (i.e. seven MW channels), when available, trig the Look-Up Table updating.

Each about 15 minutes in turn rain map updating is triggered by a new MSG image: precipitation is evaluated converting the brightness temperature of the  MSG IR image pixels in rain rates, by means of the last updated Look-Up Table.

This SERVICE must be considered experimental because test and validation are still in progress.

This work has been developed in the framework of the EURAINSAT project (contract EVG1-2000-00030), partially funded by the Research DG of the European Commission and RAM project (Research Applied to Meteorology) carried out by the Gruppo Nazionale per la Difesa dalle Catastrofi Idrogeologiche (GNDCI) of the Italian National Research Council.

SSM/I data are from CLASS (Comprehensive Large Array-data Stewardship System) of NOAA.