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HESS | Articles | Volume 22, issue 6
Hydrol. Earth Syst. Sci., 22, 3311–3330, 2018
https://doi.org/10.5194/hess-22-3311-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 3311–3330, 2018
https://doi.org/10.5194/hess-22-3311-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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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Cited articles

Ajami, H., Khan, U., Tuteja, N. K., and Sharma, A.: Development of a computationally efficient semi-distributed hydrologic modeling application for soil moisture, lateral flow and runoff simulation, Environ. Modell. Softw., 85, 319–331, 2016. a
Anderson, M. C., Kustas, W. P., Alfieri, J. G., Gao, F., Hain, C., Prueger, J. H., Evett, S., Colaizzi, P., Howell, T., and Chávez, J. L.: Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX'08 field campaign, Adv. Water Res., 50, 162–177, 2012. a
Avissar, R. and Pielke, R.: A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology, Mon. Weather Rev., 117, 2113–2136, 1989. a, b
Bagley, J. E., Desai, A. R., Dirmeyer, P. A., and Foley, J. A.: Effects of land cover change on moisture availability and potential crop yield in the world’s breadbaskets, Environ. Res. Lett., 7, 014009, https://doi.org/10.1088/1748?9326/7/1/014009, 2012. a
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.
The petabytes of existing global environmental data provide an invaluable asset to improve the...
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