Soil moisture and precipitation: The SM2RAIN algorithm for rainfall retrieval from satellite soil moisture
Capitolo di libro
Data di Pubblicazione:
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.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
AMSR; ASCAT; CMORPH; CYGNSS; ERA5 reanalysis; ESA-CCI; Floods; GPCC; Precipitation; Rainfall; SM2RAIN; SMOS; Soil moisture; TMPA
Elenco autori:
Brocca, Luca; Camici, Stefania; Massari, Christian; Ciabatta, Luca
Link alla scheda completa: