Articles | Volume 12, issue 4
https://doi.org/10.5194/gmd-12-1703-2019
https://doi.org/10.5194/gmd-12-1703-2019
Model evaluation paper
 | 
29 Apr 2019
Model evaluation paper |  | 29 Apr 2019

Evaluating the Met Office Unified Model land surface temperature in Global Atmosphere/Land 3.1 (GA/L3.1), Global Atmosphere/Land 6.1 (GA/L6.1) and limited area 2.2 km configurations

Jennifer K. Brooke, R. Chawn Harlow, Russell L. Scott, Martin J. Best, John M. Edwards, Jean-Claude Thelen, and Mark Weeks

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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
AR by Jennifer Brooke on behalf of the Authors (28 Feb 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (08 Mar 2019) by Juan Antonio Añel
RR by Anonymous Referee #1 (08 Mar 2019)
RR by Anonymous Referee #2 (20 Mar 2019)
ED: Publish subject to minor revisions (review by editor) (20 Mar 2019) by Juan Antonio Añel
AR by Jennifer Brooke on behalf of the Authors (01 Apr 2019)  Author's response   Manuscript 
ED: Publish as is (07 Apr 2019) by Juan Antonio Añel
AR by Jennifer Brooke on behalf of the Authors (10 Apr 2019)
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Short summary
This paper evaluates a significant cold land surface temperature bias in semi-arid regions in the Met Office Unified Model when compared with satellite observations. Sparse vegetation canopies are not well represented in ancillary datasets, in particular regions of cold bias are correlated with low bare soil cover fractions. The study demonstrates the difficulties in modelling land surface temperatures that match state-of-the-art satellite retrievals required for operational data assimilation.