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- Stacey A. Archfield
- National Research Program, U.S. Geological Survey Reston Virginia USA
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- Martyn Clark
- Hydrometeorological Applications Program, National Center for Atmospheric Research Boulder Colorado USA
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- Berit Arheimer
- Swedish Meteorological and Hydrological Institute Norrköping Sweden
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- Lauren E. Hay
- National Research Program, U.S. Geological Survey Reston Virginia USA
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- Hilary McMillan
- National Institute of Water and Atmospheric Research Auckland New Zealand
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- Julie E. Kiang
- Office of Surface Water U.S. Geological Survey Reston Virginia USA
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- Jan Seibert
- Department of Geography University of Zurich Zurich Switzerland
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- Kirsti Hakala
- Department of Geography University of Zurich Zurich Switzerland
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- Andrew Bock
- Colorado Water Science Center, U.S. Geological Survey Lakewood Colorado USA
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- Thorsten Wagener
- Department of Civil Engineering University of Bristol Bristol UK
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- William H. Farmer
- National Research Program, U.S. Geological Survey Reston Virginia USA
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- Vazken Andréassian
- National Research Institute of Science and Technology for Environment and Agriculture (IRSTEA) France
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- Sabine Attinger
- Department of Computational Environmental Systems and Monitoring Helmholtz Centre for Environmental Research—UFZ Leipzig Germany
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- Alberto Viglione
- Institute of Hydrology and Water Resource Management, Vienna University of Technology Vienna Austria
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- Rodney Knight
- Lower Mississippi‐Gulf Water Science Center, U.S. Geological Survey Montgomery Alabama USA
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- Steven Markstrom
- National Research Program, U.S. Geological Survey Reston Virginia USA
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- Thomas Over
- Illinois Water Science Center, U.S. Geological Survey Urbana Illinois USA
書誌事項
- 公開日
- 2015-12
- 権利情報
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- http://onlinelibrary.wiley.com/termsAndConditions#vor
- DOI
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- 10.1002/2015wr017498
- 公開者
- American Geophysical Union (AGU)
この論文をさがす
説明
<jats:title>Abstract</jats:title><jats:p>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.</jats:p>
収録刊行物
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- Water Resources Research
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Water Resources Research 51 (12), 10078-10091, 2015-12
American Geophysical Union (AGU)
