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| dc.contributor.author | Melkamu Belay | |
| dc.date.accessioned | 2026-07-02T08:06:45Z | |
| dc.date.available | 2026-07-02T08:06:45Z | |
| dc.date.issued | 2024-07 | |
| dc.identifier.uri | http://ir.bdu.edu.et/handle/123456789/16913 | |
| dc.description.abstract | This study explores the spatial and temporal variability of rainfall patterns in Ethiopian basins using 43 years of observation and satellite data, crucial for water resource management and agricultural productivity. Utilizing gauge data, CHIRPS, and TAMSAT, the study identifies the Kiremt season (June to September) as the primary rainfall period, particularly in the western basins such as Abay and Baro, while highlighting unique rainfall patterns in the Genale Dawa basin, which receives 30% of its annual precipitation during the Bega (October to January) and 54% during the Belg (February to May) seasons. The Tekeze-Mereb basin receives 80% of its annual precipitation during the Kiremt season. The spatial analysis reveals complex nationwide rainfall patterns, with the annual mean precipitation centered in the southwestern part of the country and a mean inter-annual variability of 26%. According to CHIRPS 0.05º gridded precipitation data, the Kiremt season contributes 53% to the annual mean rainfall, with the Abay Basin receiving the largest share (39.5%), while the Bega and Belg seasons contribute 16% and 31%, respectively. Trend analysis indicates notable changes in rainfall patterns, emphasizing the need for adaptive water management strategies to address climate variability. A significant aspect of this study is the analysis of the correlation between wind speed and monthly precipitation. Pearson correlation analysis using ERA5 and MERRA-2 datasets reveals significant influences of upper-level winds at 200-hPa on precipitation variability with a 1–2-month lead time. Recommendations include developing localized climate adaptation strategies and incorporating 200-hPa wind anomalies with a 1–2-month lead time in weather forecasting and seasonal climate outlook methods to enhance rainfall prediction accuracy. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Environment and climate change | en_US |
| dc.title | Seasonal Rainfall Contribution to River Basins in Ethiopia: Trends and Correlation with Near Surface, Mid Tropospheric, and UppertroposphericWind Velocities | en_US |
| dc.type | Thesis | en_US |
