(Q58213820)

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Model performance, model robustness, and model fitness scores: A new method for identifying good land-surface models

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Model performance, model robustness, and model fitness scores: A new method for identifying good land-surface models (English)

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Guo-Yue Niu

5

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Zong-Liang Yang

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Zong-Liang Yang

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3

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Thorsten Wagener

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Thorsten Wagener

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4

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Lindsey E. Gulden

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1

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Enrique Rosero

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2

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English

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publication date

14 June 2008

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published in

Geophysical Research Letters

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35

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11

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Complexity and robustness

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https://api.crossref.org/works/10.1029%2F2008GL033721

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7 January 2021

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Description and Evaluation of the Characteristics of the NCAR High-Resolution Land Data Assimilation System

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https://api.crossref.org/works/10.1029%2F2008GL033721

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7 January 2021

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Improving land-surface model hydrology: Is an explicit aquifer model better than a deeper soil profile?

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https://api.crossref.org/works/10.1029%2F2008GL033721

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7 January 2021

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NCAR/CU Surface, Soil, and Vegetation Observations during the International H2O Project 2002 Field Campaign

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7 January 2021

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Exploring the relationship between complexity and performance in a land surface model using the multicriteria method

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7 January 2021

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Model identification for hydrological forecasting under uncertainty

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https://api.crossref.org/works/10.1029%2F2008GL033721

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7 January 2021

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(Q58213820)

Model performance, model robustness, and model fitness scores: A new method for identifying good land-surface models

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