Causes for the Changes in Reference Crop Evapotranspiration Over Ethiopia During 1980–2021

International Journal of Climatology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 24, 2025

ABSTRACT Considering the great significance of reference crop evapotranspiration (ET o ) for various sectors (i.e., biodiversity, agriculture, forestry development and water resources), this study comprehensively investigated its changes during 1980–2021 based on Food Agriculture Organisation‐56 Penman‐Monteith equation five popular meteorological datasets. As whole Ethiopia, both annual monthly ET significantly increased, but increasing trends varied among months with larger values January–April September–December. Spatially, exhibited evident differences, characterised by increases over more than 88% areas, especially September–December, an area percentage exceeding 78%. Attribution analyses a joint‐solution method multiple sensitivity experiments suggested that were determined increased mean temperature ( T ). However, dominant factors spatially. On scale, net radiation R n , accounting 21.2% 78.8% respectively, mainly in northwestern, southwestern southeastern Ethiopia remaining regions. Although different spatial distributions existed months, factor always had most extensive (> 47%), followed 18%) January–April, June, August, October November, wind speed at 2 m 19%) May, July, September December. This complete analysis related physical mechanisms can partly fill research gap Ethiopia. Moreover, provides essential information better understanding climate change, protecting biodiversity sustaining regional (e.g., agriculture resources).

Язык: Английский

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Spatio-Temporal Variability of Hydrological Drought and Trends: Implementation of Classical and Innovative Approaches

Water Resources Management, Год журнала: 2025, Номер unknown

Опубликована: Май 16, 2025

Язык: Английский

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Exploring seasonal drought patterns with climate data and machine learning models

Stochastic Environmental Research and Risk Assessment, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Язык: Английский

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Patterns and probabilities of dry spells and rainfall for improved rain-fed farming in Northwestern Ethiopia

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Ноя. 11, 2024

Dry spells and rainfall variability significantly impact rain-fed agriculture in Ethiopia, necessitating targeted adaptation strategies. This study used data from Ethiopia's Meteorological Institute (1992–2021) to evaluate the likelihood of dry lasting more than 7, 10, 15, 20 days northwestern Ethiopia. Markov chain modeling assessed probabilities these events, while Modified Mann–Kendall tests examined trends at a significance level P < 0.05. The area has Kiremt-dominated monomodal rain, with 80–100% probability following July–August. June (40–67%) September (37–60%) experienced high moderate (CV: 26–45%), underscoring need for monitoring day risks during planting crop maturation. In contrast, July (10–19%) August (10–29%) had lower frequencies days. Belg (77–89%) Bega (79–95%) seasons showed low variability, indicating that is impractical times. Trend analysis revealed significant increases Ebenat decreases Simada, most stations showing rising patterns. spell found minimal (0–10%) Kiremt, but 100% risk late February. Spatial extended spells: 20–40% August, 40–60% July, October, 75–100% September-June. May 60–80% chance 7-day spell, likely delaying growing season reducing yields crops, suggesting interventions, like using drought-tolerant crops or mitigation

Язык: Английский

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Temporal and spatial distribution, variability, and trend of hydroclimate in the Dabus River Basin Upper Blue Nile, Ethiopia

Опубликована: Дек. 2, 2024

Background High-resolution local scale climate research approach is very effective in examining the existing change and predicting its risk. Thus, this study investigated hydroclimate distribution, variation, trend, abrupt points, considered more than normal time range (1981 to 2020) determine of Dabus River Basin. The employed different statistical, parametric, nonparametric modified trend tests, exact changing point detecting models. Results result found basin received 57.7% annual rainfall June, July, August. standard anomaly index (SAI) value indicates 1999 2000 were wettest years whereas 1982,1983,1984,1986 2015 driest area. experienced fluctuating for last four decades. Peaks Precipitation Concentration Index (PCI) observed 1987,1991, 2002,2003,2006, 2011 which strong irregular distribution rainfall. mean maximum temperature (Tmax) increased significantly (p < 0.05), minimum (Tmin), river flow, runoff decreased. In increasing was 1996 Tmax 1993 1997. decreasing Tmin, 1987, 1998, 1999, respectively. Conclusions due significant increase with as well reduction flow runoff. This could upset agriculture, electric power production, water demand basin.

Язык: Английский

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