Articles | Volume 22, issue 6
https://doi.org/10.5194/hess-22-3311-2018
https://doi.org/10.5194/hess-22-3311-2018
Research article
 | 
14 Jun 2018
Research article |  | 14 Jun 2018

Harnessing big data to rethink land heterogeneity in Earth system models

Nathaniel W. Chaney, Marjolein H. J. Van Huijgevoort, Elena Shevliakova, Sergey Malyshev, Paul C. D. Milly, Paul P. G. Gauthier, and Benjamin N. Sulman

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (04 Jan 2018) by Lixin Wang
AR by Nathaniel Chaney on behalf of the Authors (10 Apr 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (19 Apr 2018) by Lixin Wang
RR by Anonymous Referee #2 (21 May 2018)
ED: Publish as is (23 May 2018) by Lixin Wang
AR by Nathaniel Chaney on behalf of the Authors (23 May 2018)
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Short summary
The petabytes of existing global environmental data provide an invaluable asset to improve the characterization of land heterogeneity in Earth system models. This study introduces a clustering algorithm that summarizes a domain's heterogeneity through spatially interconnected clusters. A series of land model simulations in central California using this approach illustrate the critical role that multi-scale heterogeneity can have on the macroscale water, energy, and carbon cycles.