Articles | Volume 11, issue 1
Geosci. Model Dev., 11, 195–212, 2018
https://doi.org/10.5194/gmd-11-195-2018
Geosci. Model Dev., 11, 195–212, 2018
https://doi.org/10.5194/gmd-11-195-2018

Methods for assessment of models 17 Jan 2018

Methods for assessment of models | 17 Jan 2018

On the predictability of land surface fluxes from meteorological variables

Ned Haughton et al.

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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
AR by Ned Haughton on behalf of the Authors (10 Oct 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Oct 2017) by Chiel van Heerwaarden
RR by Anonymous Referee #1 (14 Nov 2017)
ED: Publish subject to minor revisions (review by editor) (14 Nov 2017) by Chiel van Heerwaarden
AR by Ned Haughton on behalf of the Authors (24 Nov 2017)  Author's response    Manuscript
ED: Publish as is (24 Nov 2017) by Chiel van Heerwaarden
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Short summary
Previous studies indicate that fluxes of heat, water, and carbon between the land surface and atmosphere are substantially more predictable than the performance of the current crop of land surface models would indicate. This study uses simple empirical models to estimate the amount of useful information in meteorological forcings that is available for predicting land surface fluxes. These models can be used as benchmarks for land surface models and may help identify areas ripe for improvement.