The standard approach for measuring instantaneous rainfall rates from space is based on the inversion of the atmospheric signals reflected or radiated by atmospheric hydrometeors, i.e., a "top-down" approach. Recently, a new "bottomup" approach has been proposed that exploits satellite soil moisture observations for obtaining accumulated rainfall estimates. The approach, referred to as SM2RAIN, is based on the inversion of the hydrological water balance. In this chapter, after a short description of the SM2RAIN algorithm and its application to satellite soil moisture data, the two most recent satellite rainfall products obtained by the application of SM2RAIN to ESA-CCI (European Space Agency - Climate Change Initiative) and ASCAT (Advanced SCATterometer) soil moisture products are illustrated. Then, we have investigated the use of SM2RAIN-derived rainfall products, in comparison with "top-down" precipitation products, for improving flood forecasting over 600 basins in Europe. Finally, the limitations of the SM2RAIN algorithm and the future research and technological developments to address such limitations are provided.

Soil moisture and precipitation: The SM2RAIN algorithm for rainfall retrieval from satellite soil moisture

Ciabatta Luca;Camici Stefania;Massari Christian;Brocca Luca
2020

Abstract

The standard approach for measuring instantaneous rainfall rates from space is based on the inversion of the atmospheric signals reflected or radiated by atmospheric hydrometeors, i.e., a "top-down" approach. Recently, a new "bottomup" approach has been proposed that exploits satellite soil moisture observations for obtaining accumulated rainfall estimates. The approach, referred to as SM2RAIN, is based on the inversion of the hydrological water balance. In this chapter, after a short description of the SM2RAIN algorithm and its application to satellite soil moisture data, the two most recent satellite rainfall products obtained by the application of SM2RAIN to ESA-CCI (European Space Agency - Climate Change Initiative) and ASCAT (Advanced SCATterometer) soil moisture products are illustrated. Then, we have investigated the use of SM2RAIN-derived rainfall products, in comparison with "top-down" precipitation products, for improving flood forecasting over 600 basins in Europe. Finally, the limitations of the SM2RAIN algorithm and the future research and technological developments to address such limitations are provided.
2020
Istituto di Ricerca per la Protezione Idrogeologica - IRPI
AMSR
ASCAT
CMORPH
CYGNSS
ERA5 reanalysis
ESA-CCI
Floods
GPCC
Precipitation
Rainfall
SM2RAIN
SMOS
Soil moisture
TMPA
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/407267
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