Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 11, issue 4
Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1583-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1583-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 4
Data description paper
 | 
22 Oct 2019
Data description paper |  | 22 Oct 2019

SM2RAIN–ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observations

Luca Brocca, Paolo Filippucci, Sebastian Hahn, Luca Ciabatta, Christian Massari, Stefania Camici, Lothar Schüller, Bojan Bojkov, and Wolfgang Wagner

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Luca Brocca on behalf of the Authors (01 Aug 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Aug 2019) by Alexander Gelfan
RR by Anonymous Referee #2 (02 Sep 2019)
RR by Anonymous Referee #3 (02 Sep 2019)
ED: Publish as is (19 Sep 2019) by Alexander Gelfan
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Short summary
SM2RAIN–ASCAT is a new 12-year (2007–2018) global-scale rainfall dataset obtained by applying the SM2RAIN algorithm to ASCAT soil moisture data. The dataset has a spatiotemporal sampling resolution of 12.5 km and 1 d. Results show that the new dataset performs particularly well in Africa and South America, i.e. in the continents in which ground observations are scarce and the need for satellite rainfall data is high. SM2RAIN–ASCAT is available at http://doi.org/10.5281/zenodo.340556.
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