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

Larue, Fanny; Royer, Alain; De Sève, Danielle; Roy, Alexandre; Cosme, Emmanuel

doi:https://doi.org/10.5194/hess-22-5711-2018

Articles | Volume 22, issue 11

https://doi.org/10.5194/hess-22-5711-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Integration of Earth observations and models for global water...

https://doi.org/10.5194/hess-22-5711-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 11

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, Alain Royer, Danielle De Sève, Alexandre Roy, and Emmanuel Cosme

Download

Final revised paper (published on 05 Nov 2018)
Preprint (discussion started on 13 Mar 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Review of “Assimilation of passive microwave AMSR-2 satellite observations in a snowpack evolution model over North-Eastern Canada”, by Larue et al.', Anonymous Referee #1, 13 Apr 2018
- AC1: 'Answer to reviewer R1', Fanny Larue, 10 Sep 2018
RC2: 'Review of the manuscript hess-2018-95, entitled "Assimilation of passive microwave AMSR-2 satellite observations in a snowpack evolution model over North-Eastern Canada", by Larue et al.', Anonymous Referee #2, 17 Jul 2018
- AC2: 'Answer to reviewer R2', Fanny Larue, 10 Sep 2018
AC3: 'Letter to editor', Fanny Larue, 10 Sep 2018
AC4: 'Revised submission with track changes', Fanny Larue, 11 Sep 2018

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.