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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Cited articles

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Bechtel, B., Alexander, P. J., Böhner, J., Ching, J., Conrad, O., Feddema, J., Mills, G., See, L., and Stewart, I.: Mapping local climate zones for a worldwide database of the form and function of cities, ISPRS Int. J. Geo-Info., 4, 199–219, 2015. a
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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.