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Accelerating advances in continental domain hydrologic modeling
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2015 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 51, no 12, p. 10078-10091Article in journal (Refereed) Published
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Abstract [en]

In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from a catchment hydrology community perspective, provides a review of progress in each community toward this achievement, identifies common challenges the communities face, and details immediate and specific areas in which these communities can mutually benefit one another from the convergence of their research perspectives. Those include: (1) creating new incentives and infrastructure to report and share model inputs, outputs, and parameters in data services and open access, machine-independent formats for model replication or reanalysis; (2) ensuring that hydrologic models have: sufficient complexity to represent the dominant physical processes and adequate representation of anthropogenic impacts on the terrestrial water cycle, a process-based approach to model parameter estimation, and appropriate parameterizations to represent large-scale fluxes and scaling behavior; (3) maintaining a balance between model complexity and data availability as well as uncertainties; and (4) quantifying and communicating significant advancements toward these modeling goals.

Place, publisher, year, edition, pages
2015. Vol. 51, no 12, p. 10078-10091
Keywords [en]
climate-change impacts, sensitivity-analysis, water-balance, surface-water, evapotranspiration algorithm, intercomparison project, global sensitivity, flex-topo, scale, groundwater
National Category
Oceanography, Hydrology and Water Resources
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URN: urn:nbn:se:uu:diva-293488OAI: oai:DiVA.org:uu-293488DiVA, id: diva2:927858
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CCC:000368421500038

Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2018-01-10

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Seibert, J.

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