首页 | 本学科首页   官方微博 | 高级检索  
     检索      


RAPID applied to the SIM‐France model
Authors:Cédric H David  Florence Habets  David R Maidment  Zong‐Liang Yang
Institution:1. Centre de Géosciences, Mines Paristech, Fontainebleau, France;2. Center for Research in Water Resources, University of Texas at Austin, Austin, TX, USA;3. Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin, Austin, TX, USA;4. UMR‐7619 Sisyphe [CNRS, UPMC, Mines‐Paristech], Paris, France
Abstract:SIM‐France is a large connected atmosphere/land surface/river/groundwater modelling system that simulates the water cycle throughout metropolitan France. The work presented in this study investigates the replacement of the river routing scheme in SIM‐France by a river network model called RAPID to enhance the capacity to relate simulated flows to river gauges and to take advantage of the automated parameter estimation procedure of RAPID. RAPID was run with SIM‐France over a 10‐year period and results compared with those of the previous river routing scheme. We found that while the formulation of RAPID enhanced the functionality of SIM‐France, the flow simulations are comparable in accuracy to those previously obtained by SIM‐France. Sub‐basin optimization of RAPID parameters was found to increase model efficiency. A single criterion for quantifying the quality of river flow simulations using several river gauges globally in a river network is developed that normalizes the square error of modelled flow to allow equal treatment of all gauging stations regardless of the magnitude of flow. The use of this criterion as the cost function for parameter estimation in RAPID allows better results than by increasing the degree of spatial variability in optimization of model parameters. Likewise, increased spatial variability of RAPID parameters through accounting for topography is shown to enhance model performance. Copyright © 2011 John Wiley & Sons, Ltd.
Keywords:stream flow  river network  network matrix  parameters  estimation  dam  quad‐tree
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号