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Sensitivity of NDVI-Based Spatial Downscaling Technique of Coarse Precipitation to Some Mediterranean Bioclimatic Stages

机译:基于NDVI的空间降尺度技术对某些地中海生物气候阶段的粗降水敏感性

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This letter attempts to explore the potential sensitivity of the well-known spatial downscaling technique of coarse precipitation data to some bioclimatic stages of the Mediterranean area. For this purpose, first, an open data set covering a period of 15 years, including TRMM3B43, normalized difference vegetation index (NDVI), DEM, and rain gauge station measurements, was prepared. Then the NDVI-based spatial downscaling technique was applied over Morocco without taking account of bioclimatic stages. Second, based on the same data set, the key step of the downscaling approach (regression between TRMM3B43 and NDVI) was analyzed in five bioclimatic stages in order to assess the approach's sensitivity. This letter demonstrated that the spatial downscaling approach performs well in the subhumid, semiarid, and in the arid bioclimatic stages, to a lesser extent. However, the approach seems to be sensitive and not adapted to the Saharan and humid stages.
机译:这封信试图探讨众所周知的粗降水数据空间缩减技术对地中海地区某些生物气候阶段的潜在敏感性。为此,首先准备了一个涵盖15年的开放数据集,包括TRMM3B43,归一化植被指数(NDVI),DEM和雨量计站的测量值。然后,在不考虑生物气候阶段的情况下,将基于NDVI的空间缩减技术应用于摩洛哥。其次,基于相同的数据集,在五个生物气候阶段分析了降尺度方法的关键步骤(TRMM3B43和NDVI之间的回归),以评估该方法的敏感性。这封信表明,空间缩小方法在半湿润,半干旱和干旱生物气候阶段表现良好,程度较小。但是,这种方法似乎很敏感,不适合撒哈拉沙漠和潮湿阶段。

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