Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 21, 3557-3577, 2017
https://doi.org/10.5194/hess-21-3557-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
14 Jul 2017
Incorporating remote sensing-based ET estimates into the Community Land Model version 4.5
Dagang Wang et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Review comments: HESS-2016-696', Brecht Martens, 13 Jan 2017 Printer-friendly Version 
AC1: 'Responses to the comments from Reviewer #1', Dagang Wang, 07 Apr 2017 Printer-friendly Version Supplement 
 
RC2: 'Comments on manuscript hess-2016-696', Anonymous Referee #2, 02 Feb 2017 Printer-friendly Version 
AC2: 'Responses to the comments from Reviewer #2', Dagang Wang, 07 Apr 2017 Printer-friendly Version Supplement 
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  
CC BY 4.0
Publications Copernicus
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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.
Land surface models bear substantial biases. To reduce model biases, we apply a simple but...
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