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首页> 外文期刊>Journal of Hydrology: Regional Studies >Daily disaggregation of simulated monthly flows using different rainfall datasets in southern Africa
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Daily disaggregation of simulated monthly flows using different rainfall datasets in southern Africa

机译:使用南部非洲的不同降雨数据集对模拟月流量进行每日分类

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摘要

Study region Selected countries in southern Africa. Study focus The study uses a combination of a monthly rainfall-runoff model and a daily rainfall based disaggregation method to simulate daily flows. The two models were forced with different rainfall data (local and global) and the results examined to determine the major reasons for modelling success or failure. New hydrological insights for the region There are substantial regional differences in the success of the monthly hydrological model, which inevitably affects the success of the daily disaggregation results. There are also regional differences in the success of using global rainfall data sets (Climatic Research Unit (CRU) datasets for monthly, National Oceanic and Atmospheric Administration African Rainfall Climatology, version 2 (ARC2) satellite data for daily). The overall conclusion is that the disaggregation method presents a parsimonious approach to generating daily flow simulations from existing monthly simulations and that these daily flows are likely to be useful for some purposes (e.g. water quality modelling), but less so for others (e.g. peak flow analysis).
机译:研究区域南部非洲的部分国家。研究重点该研究结合了月降雨径流模型和基于日降雨的分解方法来模拟日流量。这两个模型被强制使用不同的降雨数据(本地和全球),并检查了结果以确定建模成功或失败的主要原因。该地区的新水文见解月度水文模型在成功方面存在很大的地区差异,这不可避免地会影响每日分类结果的成功。在使用全球降雨数据集的成功方面也存在地区差异(每月使用气候研究单位(CRU)数据集,每天使用美国国家海洋和大气管理局非洲降雨气候学,第2版(ARC2)卫星数据)。总体结论是,分类方法提供了一种简化方法,可以从现有的每月模拟中生成每日流量模拟,并且这些每日流量可能对某些目的(例如水质建模)有用,而对其他目的(例如高峰流量)则没有作用。分析)。

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