Articles | Volume 23, issue 6
Research article
05 Jun 2019
Research article |  | 05 Jun 2019

Observation operators for assimilation of satellite observations in fluvial inundation forecasting

Elizabeth S. Cooper, Sarah L. Dance, Javier García-Pintado, Nancy K. Nichols, and Polly J. Smith


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) (24 Feb 2019) by Nunzio Romano
AR by Lorena Grabowski on behalf of the Authors (11 Mar 2019)  Author's response
ED: Referee Nomination & Report Request started (19 Mar 2019) by Nunzio Romano
RR by Anonymous Referee #1 (23 Apr 2019)
RR by Anonymous Referee #2 (03 May 2019)
ED: Publish as is (05 May 2019) by Nunzio Romano
Short summary
Flooding from rivers is a huge and costly problem worldwide. Computer simulations can help to warn people if and when they are likely to be affected by river floodwater, but such predictions are not always accurate or reliable. Information about flood extent from satellites can help to keep these forecasts on track. Here we investigate different ways of using information from satellite images and look at the effect on computer predictions. This will help to develop flood warning systems.