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    Fitting of Hydrologic Models: A Close Look at the Nash–Sutcliffe Index

    Source: Journal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 010
    Author:
    Sharad K. Jain
    ,
    K. P. Sudheer
    DOI: 10.1061/(ASCE)1084-0699(2008)13:10(981)
    Publisher: American Society of Civil Engineers
    Abstract: Quantitative assessments of the degree to which the modeled behavior of a system matches with the observations provide an evaluation of the model’s predictive abilities. In this context, the Nash–Sutcliffe efficiency index is widely used in water resources sector to assess the performance of a hydrologic model. Through a series of results, this technical note demonstrates that this index alone is not adequate in describing the performance of a model. It is shown that relatively poor models can give a high value of the index and vice-versa. Thus, it is advisable to employ the other statistical measures before arriving at a definite conclusion about the performance of a hydrologic model.
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      Fitting of Hydrologic Models: A Close Look at the Nash–Sutcliffe Index

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    contributor authorSharad K. Jain
    contributor authorK. P. Sudheer
    date accessioned2017-05-08T21:24:12Z
    date available2017-05-08T21:24:12Z
    date copyrightOctober 2008
    date issued2008
    identifier other%28asce%291084-0699%282008%2913%3A10%28981%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/50110
    description abstractQuantitative assessments of the degree to which the modeled behavior of a system matches with the observations provide an evaluation of the model’s predictive abilities. In this context, the Nash–Sutcliffe efficiency index is widely used in water resources sector to assess the performance of a hydrologic model. Through a series of results, this technical note demonstrates that this index alone is not adequate in describing the performance of a model. It is shown that relatively poor models can give a high value of the index and vice-versa. Thus, it is advisable to employ the other statistical measures before arriving at a definite conclusion about the performance of a hydrologic model.
    publisherAmerican Society of Civil Engineers
    titleFitting of Hydrologic Models: A Close Look at the Nash–Sutcliffe Index
    typeJournal Paper
    journal volume13
    journal issue10
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)1084-0699(2008)13:10(981)
    treeJournal of Hydrologic Engineering:;2008:;Volume ( 013 ):;issue: 010
    contenttypeFulltext
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