Articles | Volume 24, issue 6
Hydrol. Earth Syst. Sci., 24, 2931–2950, 2020
https://doi.org/10.5194/hess-24-2931-2020
Hydrol. Earth Syst. Sci., 24, 2931–2950, 2020
https://doi.org/10.5194/hess-24-2931-2020

Research article 04 Jun 2020

Research article | 04 Jun 2020

Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data

Maximilian Graf et al.

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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
ED: Publish subject to revisions (further review by editor and referees) (30 Nov 2019) by Nadav Peleg
AR by Maximilian Graf on behalf of the Authors (31 Jan 2020)  Author's response
ED: Referee Nomination & Report Request started (05 Feb 2020) by Nadav Peleg
RR by Anonymous Referee #1 (01 Mar 2020)
RR by Anonymous Referee #2 (06 Apr 2020)
ED: Publish subject to revisions (further review by editor and referees) (06 Apr 2020) by Nadav Peleg
AR by Maximilian Graf on behalf of the Authors (21 Apr 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Apr 2020) by Nadav Peleg
RR by Anonymous Referee #2 (30 Apr 2020)
ED: Publish as is (01 May 2020) by Nadav Peleg
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Short summary
Commercial microwave links (CMLs), which form large parts of the backhaul from the ubiquitous cellular communication networks, can be used to estimate path-integrated rainfall rates. This study presents the processing and evaluation of the largest CML data set to date, covering the whole of Germany with almost 4000 CMLs. The CML-derived rainfall information compares well to a standard precipitation data set from the German Meteorological Service, which combines radar and rain gauge data.