罗纳河流域的水文气象模拟:一般介绍和目标

C. Ottlé , P. Etchevers , C. Golaz , F. Habets , J. Noilhan , E. Martin , E. Ledoux , E. Leblois , E. Sauquet , N. Amraoui , E. Artinian , J.L. Champeaux , C. Guérin , P. Lacarrère , P. le Moigne , G.M. Saulnier , D. Thiéry , D. Vidal-Madjar , S. Voirin
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引用次数: 22

摘要

本文介绍了法国国家在过去5年中所做的努力,目的是建立罗纳河流域的水文模型,在区域尺度上将地表和大气耦合起来。建模策略是基于操作地表模型(ISBA SVAT方案)、法国气象局的雪模型(CROCUS)和巴黎矿业高等学校(CIG/ENSMP)的分布式水文模型MODCOU的耦合。作为第一步,耦合模式(在下面的CIRSE中称为耦合模式)使用从气象分析中推断出的规定大气强迫。已经建立了关于14年期间的几个高分辨率数据库。文章第一部分介绍了气象强迫数据库、流量数据库和土壤植被图。然后,给出了CIRSE模型的初步结果及其在河流流量上的验证。由于该耦合模型被证明能够模拟当前水文特征,因此最终用于进行气候变化影响的初步研究。在法国气象环流模式(GCM)模拟的二氧化碳加倍情景下,地表气温和降水变化对水文循环的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hydro-meteorological modelling of the Rhone basin: general presentation and objectives

The paper presents the French national effort undertaken these 5 last years in order to build a hydrological modelisation of the Rhone catchment, coupling the surface and the atmosphere at regional scale. The modelling strategy is based on the coupling of the operational surface model (the ISBA SVAT scheme), the snow model (CROCUS) of Meteo-France and the distributed hydrological model MODCOU developed at Centre d'Informatique Géologique de l'Ecole Nationale Supérieure des Mines de Paris (CIG/ENSMP). As a first step, the coupled model (called in the following CIRSE) uses prescribed atmospheric forcing deduced from meteorological analysis. Several high resolution databases on a fourteen-year period have been constituted. The first part of the article presents the meteorological forcing database, the discharges database and the soil and vegetation maps. Then, the first results of CIRSE model and its validation on the riverflows are shown. As the coupled model was proved to be able to simulate present hydrology characteristics, it was finally used to conduct a preliminary climate change impact study. The impact of surface air temperature and precipitation variations on the hydrological cycle in a doubling CO2 scenario simulated by the Meteo-France climate General Circulation Model (GCM) are shown.

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