Brocca, Luca; Filippucci, Paolo; Hahn, Sebastian; Ciabatta, Luca; Massari, Christian; Camici, Stefania; Schueller, Lothar; Bojkov, Bojan; Wagner, Wolfgang, 2019, SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall data from ASCAT soil moisture observations, Earth system science data (Print) 11 (2019): 1583–1601. doi_10.5194/essd-11-1583-2019,
URL: http://www.cnr.it/prodotto/i/410404

Long-term gridded precipitation products are crucial for several applications in hydrology, agriculture and climate sciences. Currently available precipitation products suffer from space and time inconsistency due to the non-uniform density of ground networks and the difficulties in merging multiple satellite sensors. The recent "bottom-up" approach that exploits satellite soil moisture observations for estimating rainfall through the SM2RAIN (Soil Moisture to Rain) algorithm is suited to build a consistent rainfall data record as a single polar orbiting satellite sensor is used.

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