Inter‐ and Intra‐Annual Variation of Evapotranspiration in the Data‐Sparse Guder River Watershed, Ethiopia

Understanding evapotranspiration (ET) variation is crucial for water management and to comprehend the direction of hydroclimatic fluctuations in a changing world. This study aimed to investigate the inter‐ and intra‐annual variation of ET in the data‐sparse Guder River watershed using the appropriate ET estimation model. We have evaluated the performance of two widely used remote sensing ETs and three temperature and radiation‐based ET models and selected the best‐performing data. We have used innovative trend analysis (ITA) and harmonic analysis to find the general trends and periodic variations in ET. The long‐term mean ET of the Guder River watershed ranged from 701.7 to 841 mm per year. Over the past two decades, there has been a general declining trend in annual ET. The analysis of seasonal variation showed considerable fluctuations in ET, with the lowest value of 26.7 mm in winter and the highest value of 159 mm in autumn. The seasonal data analysis revealed that the declining trend was mainly observed in the wet season, particularly in spring. The harmonic analysis of ET between 1980 and 2000 showed variances of the semiannual cycle of two and four cycles dominating the first harmonic variance, which indicates low interannual variation. However, from 2001 to 2021, the variance of the first harmonic contributed more than the seasonal variances, indicating an increase in the interannual variation of ET. Future research has to emphasize the deriving factor to the observed variability and the effect on streamflow by considering complete watershed variables.

Authors

Institutions

Publication Details

Journal
Advances in Meteorology
Published
2025-01-01
DOI
https://doi.org/10.1155/adme/7184328
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inter‐ and Intra‐Annual Variation of Evapotranspiration in the Data‐Sparse Guder River Watershed, Ethiopia

Dessie Nedaw, Fekadu Fufa, Obsinet Abebe Wedajo
Advances in Meteorology
Plant Water Relations and Carbon Dynamics
article

Inter‐ and Intra‐Annual Variation of Evapotranspiration in the Data‐Sparse Guder River Watershed, Ethiopia

Dessie Nedaw, Fekadu Fufa, Obsinet Abebe Wedajo
article en

Abstract

Understanding evapotranspiration (ET) variation is crucial for water management and to comprehend the direction of hydroclimatic fluctuations in a changing world. This study aimed to investigate the inter‐ and intra‐annual variation of ET in the data‐sparse Guder River watershed using the appropriate ET estimation model. We have evaluated the performance of two widely used remote sensing ETs and three temperature and radiation‐based ET models and selected the best‐performing data. We have used innovative trend analysis (ITA) and harmonic analysis to find the general trends and periodic variations in ET. The long‐term mean ET of the Guder River watershed ranged from 701.7 to 841 mm per year. Over the past two decades, there has been a general declining trend in annual ET. The analysis of seasonal variation showed considerable fluctuations in ET, with the lowest value of 26.7 mm in winter and the highest value of 159 mm in autumn. The seasonal data analysis revealed that the declining trend was mainly observed in the wet season, particularly in spring. The harmonic analysis of ET between 1980 and 2000 showed variances of the semiannual cycle of two and four cycles dominating the first harmonic variance, which indicates low interannual variation. However, from 2001 to 2021, the variance of the first harmonic contributed more than the seasonal variances, indicating an increase in the interannual variation of ET. Future research has to emphasize the deriving factor to the observed variability and the effect on streamflow by considering complete watershed variables.

Advances in MeteorologyVol. 2025(1)
Jimma University (ET), Ambo University (ET), Addis Ababa University (ET)
Addis Ababa University, Ambo University
Openalex Percentile: Top 92%
Plant Water Relations and Carbon Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.