Articles | Volume 10, issue 1
Earth Syst. Sci. Data, 10, 267–280, 2018
https://doi.org/10.5194/essd-10-267-2018
Earth Syst. Sci. Data, 10, 267–280, 2018
https://doi.org/10.5194/essd-10-267-2018

Peer-reviewed comment 08 Feb 2018

Peer-reviewed comment | 08 Feb 2018

SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture

Luca Ciabatta et al.

Data sets

SM2RAIN-CCI (1 Jan 1998 – 31 December 2015) global daily rainfall dataset Ciabatta, Luca; Massari, Christian; Brocca, Luca; Gruber, Alexander; Reimer, Christoph; Hahn, Sebastian; Paulik, Christoph; Dorigo, Wouter; Kidd, Richard; Wagner, Wolfgang https://doi.org/10.5281/zenodo.846260

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Short summary
In this study, rainfall is estimated starting from satellite soil moisture observation on a global scale, using the ESA CCI soil moisture datasets. The new obtained rainfall product has proven to correctly identify rainfall events, showing performance sometimes higher than those obtained by using classical rainfall estimation approaches.