伊拉克Galal-Badra流域卫星雨量资料与雨量测量站的比较

M. Shamkhi, A. Jawad, Tabark Jameel
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引用次数: 3

摘要

几个流域的地面气象站网络往往不足和不充分,导致降雨量数据匮乏,而这些数据被视为水资源模型的基本输入。因此,需要一个好的替代信息源。本文报告了利用卫星衍生降水数据的适用性,这对位于伊朗和伊拉克地区的加拉-巴德拉盆地的模拟模型至关重要。使用了两种情景进行验证,首先使用热带降雨测量任务(TRMM)生成1998 -2009年期间的卫星降水数据,并使用该数据与流域现有雨量站的数据进行比较。第二个是利用美国国家航空航天局(NASA-POWER) 1994-2005年期间的全球能源资源预测数据集完成的。除相关系数(R)外,还采用决定系数(R^²)和斜率进行统计学检验,所得结果一致(R = 0.95;使用TRMM时,R²= 0.83,斜率= 0.7);然而,当使用NASA-POWER时,这些值会更低。这两个结果都表明卫星数据和观测数据之间存在正相关关系,因此卫星数据足以模拟不同的水文过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison between Satellite Rainfall Data and Rain Gauge Stations in Galal-Badra Watershed, Iraq
The networks of the ground meteorological stations in several basins are most often insufficient and inadequate, which causes a paucity in the rainfall data, and these are regarded as the basic inputs for the models of water resources. Therefore, a good alternative information source is required. This paper gives a report on the applicability of using satellite derived precipitation data, which is essential for the simulation models of the Galal-Badra basin that lies in both the Iranian and Iraqi regions. Two scenarios to be validated were used, first by using the Tropical Rainfall Measuring Mission (TRMM) to generate the satellite precipitation data for the 1998 -2009 period and employ that data to compare with the data from the rain gauge stations available in the basin. The second was accomplished by using the Prediction of Worldwide Energy Resource dataset from the National Aeronautics and Space Administration (NASA–POWER) for the 1994-2005 period. The validation of the techniques was tested statistically by using coefficient of determination (R^²) and slope besides the correlation coefficient (r) and the results obtained were concurrent, as (r = 0.95; R^²= 0.83 and the slope = 0.7) when using the TRMM; however, these values are lower when NASA-POWER is used. Both results suggested a positive correlation between the satellite and observed data, and thereby satellite data was sufficient for simulation of the different hydrological processes.
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