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Predictions of river flow in NW Europe using a coupled hydrological and regional climate model.

机译：利用耦合水文和区域气候模型预测欧洲西北部的河流流量。

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摘要

Regional Climate Models (RCMs) offer significant improvements over Global Cli- mate Models in terms of their representation of rainfall at the spatial and temporal scales required for hydrological modelling. Here we test a new implementation of a grid-based hydrological model embedded in a model of land-surface climatology (the Joint UK Land Exchange Scheme; JULES) against observed river flows in eight ma- jor NW European rivers. Our hydrological model comprises a probability-distributed model of soil moisture and runoff-production (PDM) coupled with a discrete approxi- mation to the 1D kinematic-wave equation to route river water downslope (G2G). The model was driven with hourly output from the UK Hadley Centre regional climate model, which itself was driven using results from part of the ERA-40 reanalysis ex- periment. The results of simulations for eight river catchments in northwest Europe are presented and compared with measured river flows over the same time period, from the same locations. The success with which the runoff production and flow rout- ing components of the land-surface model match observed flow data is evaluated and suggestions are made for future improvements to the model.
机译：区域气候模型（RCM）在全球水文模型所需的时空尺度上的降雨表示方面，比全球气候模型有重大改进。在这里，我们测试了一种基于网格的水文模型的新实现，该模型嵌入了陆地表面气候学模型（联合英国土地交换计划； JULES）中，以对抗欧洲八大主要河流中观测到的河流流量。我们的水文模型包括土壤水分和径流产生（PDM）的概率分布模型，以及对一维运动波方程的离散近似，以路由河流下坡（G2G）。该模型由英国哈德利中心区域气候模型的每小时产量驱动，而该模型本身是由ERA-40再分析实验的一部分结果驱动的。给出了欧洲西北部八个流域的模拟结果，并将其与同一时间段，相同地点的实测河流流量进行了比较。评估了地表模型的径流生产和径流组成部分与观测到的流量数据匹配的成功程度，并提出了对该模型的未来改进的建议。

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    Dadson Simon; Bell Victoria; Jones R;

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  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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