Evaluating hydroclimate dynamics: trend analysis and change detection for enhanced drought monitoring in the upper Blue Nile basin

ABSTRACT Hydroclimatic changes are key indicators of climate change, and tracking their direction of change is essential for effective water resources management. This study analyzed the trends and change points in the annual and seasonal time series TerraClimate data of key hydroclimate variables (rainfall, potential evapotranspiration (PET), maximum temperature (Tmax), and minimum temperature (Tmin)), and the Standardized Precipitation Evapotranspiration Index (SPEI) from 1958 to 2023 in the upper Blue Nile basin. The modified Mann–Kendall and Sen's slope estimator tests were employed for the trend analysis, while Pettitt's test detected abrupt changes in the time series data. Moreover, the sensitivity of SPEI to rainfall and PET was evaluated using correlation analysis. Results showed a significant increase in Tmin, Tmax, and PET, especially in spring in the western parts of the basin. Rainfall trends were mixed, mostly showing non-significant changes, except in winter. Change point analysis revealed significant shifts in SPEI and hydroclimate data, showing declines in SPEI and rainfall, with increases in PET, Tmin, and Tmax after their change points. Correlation analysis confirmed that rainfall has a stronger relationship with SPEI than PET. The findings of this study could serve as a proxy for climate change and guide the implementation of adaptive measures.

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Publication Details

Journal
Journal of Water and Climate Change
Published
2025-08-01
DOI
https://doi.org/10.2166/wcc.2025.054
Citations
1
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
1.11
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article

Evaluating hydroclimate dynamics: trend analysis and change detection for enhanced drought monitoring in the upper Blue Nile basin

Abeyou Wale Worqlul, Temesgen Enku, Ann van Griensven, Melkamu Meseret Alemu et al.
1 citations
Journal of Water and Climate Change
Plant Water Relations and Carbon Dynamics
1.11
article

Evaluating hydroclimate dynamics: trend analysis and change detection for enhanced drought monitoring in the upper Blue Nile basin

Abeyou Wale Worqlul, Temesgen Enku, Ann van Griensven, Melkamu Meseret Alemu, Esifanos Addisu Yimer, Benjamin F. Zaitchick
article en
1 citations

Abstract

ABSTRACT Hydroclimatic changes are key indicators of climate change, and tracking their direction of change is essential for effective water resources management. This study analyzed the trends and change points in the annual and seasonal time series TerraClimate data of key hydroclimate variables (rainfall, potential evapotranspiration (PET), maximum temperature (Tmax), and minimum temperature (Tmin)), and the Standardized Precipitation Evapotranspiration Index (SPEI) from 1958 to 2023 in the upper Blue Nile basin. The modified Mann–Kendall and Sen's slope estimator tests were employed for the trend analysis, while Pettitt's test detected abrupt changes in the time series data. Moreover, the sensitivity of SPEI to rainfall and PET was evaluated using correlation analysis. Results showed a significant increase in Tmin, Tmax, and PET, especially in spring in the western parts of the basin. Rainfall trends were mixed, mostly showing non-significant changes, except in winter. Change point analysis revealed significant shifts in SPEI and hydroclimate data, showing declines in SPEI and rainfall, with increases in PET, Tmin, and Tmax after their change points. Correlation analysis confirmed that rainfall has a stronger relationship with SPEI than PET. The findings of this study could serve as a proxy for climate change and guide the implementation of adaptive measures.

Journal of Water and Climate ChangeVol. 16(8)
Planetary Science Institute (US), Vrije Universiteit Brussel (BE), Johns Hopkins University (US), International Center for Agricultural Research in the Dry Areas (LB), Johns Hopkins Medicine (US), IHE Delft Institute for Water Education (NL), Bahir Dar University (ET)
Openalex Percentile: Top 21%
Plant Water Relations and Carbon Dynamics
1.11
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