Meteorological drought poses a frequent challenge in the Nile River basin, yet its comprehensive evaluation across the basin has been hindered by insufficient recorded rainfall data. Common indices like the standard precipitation index, coefficients of variation, and precipitation concentration index serve as pivotal tools in gauging drought severity. This research aimed to assess the meteorological drought status in the Nile River basin by using the Power Data Access Viewer product rainfall data. Bias correction procedures were implemented to refine the monthly rainfall data for Bahirdar, Markos, Nekemt, and Muger stations, resulting in notable improvements in the coefficient of determination () that were increased from 0.74 to 0.93, 0.72 to 0.89, 0.71 to 0.96, and 0.69 to 0.84, respectively. The average spatial distribution of drought in the Nile basin was classified as extremely wet (3.81%), severely wet (9.01%), moderately wet (7.36%), near normal (9.97%), moderately drought (21.20%), severely drought (17.11%), and extremely drought (31.54%). Approximately 10.33% of the Nile River basin was situated in regions characterized by high rainfall variability, while around 21.17% was located in areas with a notably irregular precipitation concentration index. Overall, this study sheds light on the prevailing meteorological drought patterns in the Nile River basin, emphasizing the significance of understanding and managing these phenomena for the sustainable development of the region.

中文翻译：

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基于电力数据访问查看器的尼罗河流域气象干旱分析和降雨变化

尼罗河流域气象干旱频发，但由于降雨量记录不足，影响了全流域的综合评估。标准降水指数、变异系数和降水集中指数等常用指数是衡量干旱严重程度的关键工具。本研究旨在利用Power Data Access Viewer产品降雨数据评估尼罗河流域的气象干旱状况。实施偏差校正程序以细化Bahirdar、Markos、Nekemt和Muger站的月降雨量数据，导致决定系数（ ）显着改善，从0.74增加到0.93，0.72增加到0.89，0.71增加到0.96，分别为 0.69 至 0.84。尼罗河流域干旱平均空间分布为极湿（3.81%）、重湿（9.01%）、中湿（7.36%）、接近正常（9.97%）、中度干旱（21.20%）、重度干旱（17.11%）和极度干旱（31.54%）。尼罗河流域约有10.33%位于降水变化较大的地区，约21.17%位于降水集中指数明显不规则的地区。总体而言，这项研究揭示了尼罗河流域普遍存在的气象干旱模式，强调了了解和管理这些现象对该地区可持续发展的重要性。