Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 15, 5987-6005, 2015
https://doi.org/10.5194/acp-15-5987-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Review article
29 May 2015
Reliable, robust and realistic: the three R's of next-generation land-surface modelling
I. C. Prentice et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC C8261: 'Referee comment on Prentice et. 'Reliable, robust and realistic: the three R's of next-generation land surface modelling'', Anonymous Referee #1, 20 Oct 2014 Printer-friendly Version 
 
RC C9957: 'Review of ACP-2014-603', Benjamin F. Zaitchik, 09 Dec 2014 Printer-friendly Version 
 
RC C11648: 'Review: Reliable, robust and realistic: the three R's of next-generation land surface modelling', Anonymous Referee #3, 29 Jan 2015 Printer-friendly Version 
 
AC C12556: 'Final authors response to reviewer comments', Natalie Crawley, 12 Mar 2015 Printer-friendly Version 
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  
CC BY 4.0
Publications Copernicus
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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.
Land surface models (LSMs) describe how carbon and water fluxes react to environmental change....
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