Harnessing big data to rethink land heterogeneity in Earth system models

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

doi:https://doi.org/10.5194/hess-22-3311-2018

Articles | Volume 22, issue 6

https://doi.org/10.5194/hess-22-3311-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-3311-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 6

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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Final revised paper (published on 14 Jun 2018)
Preprint (discussion started on 01 Nov 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review', Keith Beven, 09 Nov 2017
RC2: 'Reviewer comments', Anonymous Referee #2, 06 Dec 2017
AC1: 'Response included in attached pdf file', Nathaniel Chaney, 27 Dec 2017

Peer-review completion

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)

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.