Distributed hydrological modelling using weather radar in gauged and ungauged basins

被引:86
作者
Cole, Steven J. [1 ]
Moore, Robert J. [1 ]
机构
[1] Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England
基金
英国自然环境研究理事会;
关键词
Distributed hydrological modelling; Ungauged; Weather radar; Raingauge; Rainfall estimation; Multiquadric; Flood forecasting; FLOOD FORECASTING-MODEL; MULTIQUADRIC EQUATIONS; AREAL RAINFALL;
D O I
10.1016/j.advwatres.2009.01.006
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Distributed hydrological modelling using space-time estimates of rainfall from weather radar provides a natural approach to area-wide flood forecasting and warning at any location, whether gauged or ungauged. However, radar estimates of rainfall may lack consistent, quantitative accuracy. Also, the formulation of hydrological models in distributed form may be problematic due to process complexity and scaling issues. Here, the aim is to first explore ways of improving radar rainfall accuracy through combination with raingauge network data via integrated multiquadric methods. When the resulting gridded rainfall estimates are employed as input to hydrological models, the simulated river flows show marked improvements when compared to using radar data alone. Secondly, simple forms of physical-conceptual distributed hydrological model are considered, capable of exploiting spatial datasets on topography and, where necessary, land-cover, soil and geology properties. The simplest Grid-to-Grid model uses only digital terrain data to delineate flow pathways and to control runoff production, the latter by invoking a probability-distributed relation linking terrain slope to soil absorption capacity. Model performance is assessed over nested river basins in northwest England, employing a lumped model as a reference. When the distributed model is used with the gridded radar-based rainfall estimators, it shows particular benefits for forecasting at ungauged locations. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1107 / 1120
页数:14
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