Two well known rainfall retrieval techniques (GPI,CST) based on satellite infrared data (METEOSAT) have been used to estimate monthly rainfall in the area of Eastern Africa (Kenya) and the adjacent Indian Ocean on the basis of 15 km/spl times/21 km (=315 km/sup 2/) areas during a regional drought period and a regional rainy season. Comparison of the satellite estimates with up to 129 raingauge measurements in this area show ambiguous results in the performance of the techniques, where at both techniques reveal similar results. A regionalisation of this comparison shows an improvement of the respective correlation results and reveals the fact that ambiguous or bad performances of the two used rainfall retrievals can be caused by a wrong compilation of ground truth data sets.
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机译：已使用两种基于卫星红外数据（METEOSAT）的著名降雨检索技术（GPI，CST），以15 km / spl次/ s的速度估算东部非洲（肯尼亚）和邻近的印度洋地区的月降雨量。在区域干旱时期和区域雨季期间21 km（= 315 km / sup 2 /）区域。该区域最多129个雨量计的卫星估计值的比较显示了该技术性能的模棱两可的结果，其中两种技术都显示出相似的结果。这种比较的区域化显示了各自相关结果的改善，并且揭示了以下事实：两个使用的降雨反演的模棱两可或性能不佳可能是由地面真实数据集的错误编译引起的。
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