Articles | Volume 22, issue 11
Hydrol. Earth Syst. Sci., 22, 5711–5734, 2018

Special issue: Integration of Earth observations and models for global water...

Hydrol. Earth Syst. Sci., 22, 5711–5734, 2018

Research article 05 Nov 2018

Research article | 05 Nov 2018

Assimilation of passive microwave AMSR-2 satellite observations in a snowpack evolution model over northeastern Canada

Fanny Larue et al.


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 as is (01 Oct 2018) by Jaap Schellekens
AR by Fanny Larue on behalf of the Authors (10 Oct 2018)  Author's response    Manuscript
Short summary
A data assimilation scheme was developed to improve snow water equivalent (SWE) simulations by updating meteorological forcings and snowpack states using passive microwave satellite observations. A chain of models was first calibrated to simulate satellite observations over northeastern Canada. The assimilation was then validated over 12 stations where daily SWE measurements were acquired during 4 winters (2012–2016). The overall SWE bias is reduced by 68 % compared to original SWE simulations.