SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall data from ASCAT soil moisture observations
Academic Article
Publication Date:
2019
abstract:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
SM2RAIN; Soil Moisture; Rainfall; Remote Sensign
List of contributors:
Filippucci, Paolo; Brocca, Luca; Camici, Stefania; Massari, Christian; Ciabatta, Luca
Published in: