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(SGER) A Novel Approach for Calibration of Hydrologic Models Using Multiobjectives and Visualization Techniques

(SGER) A Novel Approach for Calibration of Hydrologic Models Using Multiobjectives and Visualization Techniques
(SGER) 使用多目标和可视化技术校准水文模型的新方法
批准号:
9415437
负责人:
Soroosh Sorooshian
金额:
$2.6万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-09-01 至 1995-08-31

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中文摘要
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英文摘要
9415437 Sorooshian The classical approach to model calibration has been taken as far as it can go. Currently available calibration strategies are poorly suited to the task of calibrating conceptual hydrologic models in general and are woefully inadequate in the face of the emerging generation of distributed parameter hydrologic models. An entirely new conceptual paradigm is necessary for further progress to be made. The work will explore the use of multi-objective procedures for the objective identification of the non-dominated model set, and graphical visualization techniques to facilitate the subjective procedure inherent in choosing a reduced model set. The exploratory research will lead to the preparation and submission to NSF, within 9 months of a full scale proposal addressing the problem of calibrating semi-distributed and distributed hydrologic models within the framework of the new paradigm.
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CyberSEES:Type 2: Precipitation Estimation from Multi-Source Information using Advanced Machine Learning
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  • 财政年份:
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  • 负责人:
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