Power Data Access Viewer-Based Meteorological Drought Analysis and Rainfall Variability in the Nile River Basin

IF 2.1 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Advances in Meteorology Pub Date : 2024-03-05 DOI:10.1155/2024/9985773
Birara Gebeyhu
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Abstract

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.
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基于 Power Data Access Viewer 的尼罗河流域气象干旱分析和降雨量变异性
气象干旱是尼罗河流域经常面临的挑战,但由于记录的降雨量数据不足,无法对整个流域的干旱情况进行全面评估。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。这项研究旨在利用 Power Data Access Viewer 产品的降雨数据评估尼罗河流域的气象干旱状况。对 Bahirdar 站、Markos 站、Nekemt 站和 Muger 站的月降雨量数据实施了偏差修正程序,结果显著提高了判定系数(),分别从 0.74 提高到 0.93、0.72 提高到 0.89、0.71 提高到 0.96 和 0.69 提高到 0.84。尼罗河流域干旱的平均空间分布分为极湿润(3.81%)、严重湿润(9.01%)、中等湿润(7.36%)、接近正常(9.97%)、中等干旱(21.20%)、严重干旱(17.11%)和极度干旱(31.54%)。尼罗河流域约 10.33% 的地区降雨量变化较大,约 21.17% 的地区降雨量集中指数明显不规则。总之,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于该地区可持续发展的重要意义。
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来源期刊
Advances in Meteorology
Advances in Meteorology 地学天文-气象与大气科学
CiteScore
5.30
自引率
3.40%
发文量
80
审稿时长
>12 weeks
期刊介绍: Advances in Meteorology is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of meteorology and climatology. Topics covered include, but are not limited to, forecasting techniques and applications, meteorological modeling, data analysis, atmospheric chemistry and physics, climate change, satellite meteorology, marine meteorology, and forest meteorology.
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