Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops
Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops
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DOI：
10.1016/j.jhydrol.2005.07.031
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发表时间：
2006-03
影响因子：
6.4
通讯作者：
Q. Duan;J. Schaake;V. Andréassian;S. Franks;G. Goteti;H. Gupta;Y. Gusev;F. Habets;A. Hall
中科院分区：
文献类型：
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作者：
Q. Duan;J. Schaake;V. Andréassian;S. Franks;G. Goteti;H. Gupta;Y. Gusev;F. Habets;A. Hall
模型参数估计实验是一个国际项目，目的是发展水文模型和大气模型陆面参数化方案中参数先验估计的强化技术。MOPEX科学战略包括三个主要步骤：数据准备、先验参数估计方法的制定和参数可转移性的论证。已经开发了一个综合的MOPEX数据库，其中包含美国和其他国家许多水文流域的历史水文气象数据和地表特征数据。该数据库正在不断扩大，以包括世界各地更多的流域。已召开了一些国际MOPEX讲习班，使世界各地感兴趣的水文学家和陆地表面模拟人员聚集一堂，交流开发先验参数估计技术方面的知识和经验。本文介绍了第二次和第三次MOPEX研讨会的结果。这些讲习班的具体目标是审查先验参数估计技术的现状，以及如何利用监测良好的水文流域的观测结果来改进这些技术。第二次和第三次MOPEX研讨会的参与者提供了来自美国东南部12个流域的数据，并被要求使用先验参数以及为各自的水文模型开发的校准参数进行一系列数值实验。不同的建模组进行了所有所需的实验，独立使用八个不同的模型，并从这些模型的结果已被组装在本文中进行分析。本文介绍了MOPEX实验及其设计的概述。对主要实验结果进行了分析。一个关键的发现是，现有的先验参数估计程序是有问题的，需要改进。通过对监测良好的水文流域进行模型校准，可以大大改进这些程序。本文最后讨论了经验教训，并指出了进一步的工作和未来的战略。
The Model Parameter Estimation Experiment (MOPEX) is an international project aimed at developing enhanced techniques for the a priori estimation of parameters in hydrologic models and in land surface parameterization schemes of atmospheric models. The MOPEX science strategy involves three major steps: data preparation, a priori parameter estimation methodology development, and demonstration of parameter transferability. A comprehensive MOPEX database has been developed that contains historical hydrometeorological data and land surface characteristics data for many hydrologic basins in the United States (US) and in other countries. This database is being continuously expanded to include more basins in all parts of the world. A number of international MOPEX workshops have been convened to bring together interested hydrologists and land surface modelers from all over world to exchange knowledge and experience in developing a priori parameter estimation techniques. This paper describes the results from the second and third MOPEX workshops. The specific objective of these workshops is to examine the state of a priori parameter estimation techniques and how they can be potentially improved with observations from well-monitored hydrologic basins. Participants of the second and third MOPEX workshops were provided with data from 12 basins in the southeastern US and were asked to carry out a series of numerical experiments using a priori parameters as well as calibrated parameters developed for their respective hydrologic models. Different modeling groups carried out all the required experiments independently using eight different models, and the results from these models have been assembled for analysis in this paper. This paper presents an overview of the MOPEX experiment and its design. The main experimental results are analyzed. A key finding is that existing a priori parameter estimation procedures are problematic and need improvement. Significant improvement of these procedures may be achieved through model calibration of well-monitored hydrologic basins. This paper concludes with a discussion of the lessons learned, and points out further work and future strategy.