Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3557-2017
https://doi.org/10.5194/hess-21-3557-2017
Research article
 | 
14 Jul 2017
Research article |  | 14 Jul 2017

Incorporating remote sensing-based ET estimates into the Community Land Model version 4.5

Dagang Wang, Guiling Wang, Dana T. Parr, Weilin Liao, Youlong Xia, and Congsheng Fu

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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) (17 Apr 2017) by Niko Verhoest
AR by Anna Mirena Feist-Polner on behalf of the Authors (24 Apr 2017)  Author's response
ED: Publish subject to revisions (further review by Editor and Referees) (24 Apr 2017) by Niko Verhoest
ED: Referee Nomination & Report Request started (25 Apr 2017) by Niko Verhoest
RR by Brecht Martens (16 May 2017)
RR by Anonymous Referee #3 (24 May 2017)
ED: Publish subject to minor revisions (further review by Editor) (30 May 2017) by Niko Verhoest
AR by Dagang Wang on behalf of the Authors (13 Jun 2017)  Author's response    Manuscript
ED: Publish as is (13 Jun 2017) by Niko Verhoest
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Short summary
Land surface models bear substantial biases. To reduce model biases, we apply a simple but efficient bias correction method to a land surface model. We first derive a relationship between observations and model simulations, and apply this relationship in the application period. While the bias correction method improves model-based estimates without improving the model physical parameterization, results do provide guidance for physically based model development effort.