Articles | Volume 15, issue 10
Review article
 | Highlight paper
29 May 2015
Review article | Highlight paper |  | 29 May 2015

Reliable, robust and realistic: the three R's of next-generation land-surface modelling

I. C. Prentice, X. Liang, B. E. Medlyn, and Y.-P. Wang


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 Natalie Crawley on behalf of the Authors (09 Apr 2015)  Author's response    Manuscript
ED: Publish as is (13 Apr 2015) by Martin Heimann
Short summary
Land surface models (LSMs) describe how carbon and water fluxes react to environmental change. They are key component of climate models, yet they differ enormously. Many perform poorly, despite having many parameters. We outline a development strategy emphasizing robustness, reliability and realism, none of which is guaranteed by complexity alone. We propose multiple constraints, benchmarking and data assimilation, and representing unresolved processes stochastically, as tools in this endeavour.
Final-revised paper