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Using satellite-based weather data as input to SWAT in a data poor catchment
Physics and Chemistry of the Earth, Parts A/B/C ( IF 3.7 ) Pub Date : 2020-04-29 , DOI: 10.1016/j.pce.2020.102871
N. Mararakanye , J.J. Le Roux , A.C. Franke

Satellite-based weather estimates are spatially and temporally continuous data that seamlessly capture weather variability across the globe. A need was identified to assess the usefulness and reliability of satellite-based weather estimates in the lower Vaal River Catchment due to the scarcity of weather data. We explored the utility of Climate Forecast System Reanalysis (CFSR) data for streamflow simulation in an important agricultural catchment in South Africa, using the Soil and Water Assessment Tool (SWAT). First, we compared CFSR precipitation against rain gauge measurements at an annual time step. Two models were set up, one with conventional gauge weather data obtained from the South African Weather Services (SAWS) and the Agricultural Research Council (ARC), and the other with CFSR data. Calibration and validation of the models were performed using Sequential Uncertainty Fitting ver.2 (SUFI-2) algorithm of the SWAT Calibration Uncertainties Program (SWAT- CUP) at five stream gauge sites, with the data split between 2003 to 2008 and 2009 to 2013 for calibration and validation respectively. A low statistical agreement between CFSR precipitation and rain gauge data was obtained. The model with gauge data slightly outperformed CFSR model before calibration and during validation, whereas CFSR performed better mainly during calibration. Overall, both models achieved fair simulations of streamflow and long-term monthly streamflow regime at both the main catchment outlet and interior sub-catchments. While conventional gauge data remain the most accurate and reliable data source, CFSR can play a role as an alternative data input where there is inadequate gauge data.



中文翻译:

在数据贫乏地区使用基于卫星的天气数据作为SWAT的输入

基于卫星的天气预报是在空间和时间上连续的数据,可无缝捕获全球范围内的天气变化。由于缺乏气象数据,已确定需要评估下瓦尔河集水区基于卫星的天气估计的有用性和可靠性。我们使用土壤和水评估工具(SWAT)探索了气候预测系统再分析(CFSR)数据在南非重要农业流域的流量模拟中的实用性。首先,我们将CFSR降水量与雨量计的测量值进行了年度比较。建立了两个模型,一个模型具有从南非气象服务局(SAWS)和农业研究理事会(ARC)获得的常规标准气象数据,另一个模型具有CFSR数据。模型的校准和验证是使用SWAT校准不确定度计划(SWAT-CUP)的顺序不确定度拟合第2版(SUFI-2)算法在五个流量表站点进行的,数据分为2003年至2008年以及2009年至2013年分别用于校准和验证。CFSR降水量与雨量计数据之间的统计一致性较低。带有标尺数据的模型在校准之前和验证期间稍胜于CFSR模型,而CFSR主要在校准期间表现更好。总体而言,这两种模型都实现了主要集水口和内部子集水口的流量和长期每月流量状态的合理模拟。尽管常规量规数据仍然是最准确和可靠的数据源,

更新日期:2020-04-29
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