Articles | Volume 22, issue 6
Hydrol. Earth Syst. Sci., 22, 3311–3330, 2018
https://doi.org/10.5194/hess-22-3311-2018
Hydrol. Earth Syst. Sci., 22, 3311–3330, 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 et al.

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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
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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.