Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment

Study region: This study focuses on three hydroclimatic river basins in Africa: Upper Blue Nile Basin (UBNB), Oubangui River Basin (OURB), and Upper Zambezi River Basin (UZRB). Study focus: Accurately estimating potential evapotranspiration (PET) and selecting suitable data sources for hydrological...

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Main Authors: Mohammed Abdallah, Ke Zhang, Sudhir Kumar Singh, Mukhtar Jibril Abdi, Ayman M. Elameen, Almutaz A.A. Mohammed, Hussam Eldin Elzain
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Journal of Hydrology: Regional Studies
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Online Access:http://www.sciencedirect.com/science/article/pii/S2214581824004622
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author Mohammed Abdallah
Ke Zhang
Sudhir Kumar Singh
Mukhtar Jibril Abdi
Ayman M. Elameen
Almutaz A.A. Mohammed
Hussam Eldin Elzain
author_facet Mohammed Abdallah
Ke Zhang
Sudhir Kumar Singh
Mukhtar Jibril Abdi
Ayman M. Elameen
Almutaz A.A. Mohammed
Hussam Eldin Elzain
author_sort Mohammed Abdallah
collection DOAJ
description Study region: This study focuses on three hydroclimatic river basins in Africa: Upper Blue Nile Basin (UBNB), Oubangui River Basin (OURB), and Upper Zambezi River Basin (UZRB). Study focus: Accurately estimating potential evapotranspiration (PET) and selecting suitable data sources for hydrological modeling present significant challenges. This study investigates the performance of three gridded PET (GPET) products, GLEAM, GLDAS, and ERA5-Land in hydrological applications, specifically focusing on hydrological simulation and drought assessments. The hydrological performance of these GPET products was evaluated using the Génie Rural à 4 paramètres Journalier (GR4J) model. New hydrological insights for the region: The results indicate that GLEAM PET outperforms other products in simulating daily streamflow for UZRB and OURB, while ERA5-Land PET is more effective in the UBNB. Seasonally, GLEAM PET exhibits the highest accuracy and lowest error in streamflow simulation across all three regions. PET products influence UBNB streamflow less than OURB and UZRB. Simulated other hydrological components using GLEAM PET show the highest agreement with actual evapotranspiration (AET-GLEAM 3.7a) and terrestrial water storage anomalies (GRACE-TWSA) across all three regions. GLEAM effectively detects temporal drought indices (SSI-9, SSI-12). Streamflow simulations with GPET products in the UBNB and UZRB capture drought events more accurately than in the OURB. These findings emphasize the importance of selecting appropriate GPET products to enhance hydrological simulation and drought assessment.
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spelling doaj-art-8ea9fef0b5644d56a19dc461f756c8c02025-01-22T05:42:05ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-02-0157102113Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessmentMohammed Abdallah0Ke Zhang1Sudhir Kumar Singh2Mukhtar Jibril Abdi3Ayman M. Elameen4Almutaz A.A. Mohammed5Hussam Eldin Elzain6National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, Jiangsu 210024, China; College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu 210024, China; The Hydraulics Research Station, P.O. Box 318, Wad Madani, SudanNational Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, Jiangsu 210024, China; College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu 210024, China; Yangtze Institute for Conservation and Development, Nanjing, Jiangsu 210024, China; China Meteorological Administration Hydro-Meteorology Key Laboratory, Hohai University, Nanjing, Jiangsu 210024, China; Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, Jiangsu 210024, China; Key Laboratory of Hydrologic-Cycle and Hydrodynamic-System of Ministry of Water Resources, Hohai University, Nanjing, Jiangsu 210024, China; Corresponding author at: National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, Jiangsu 210024, China.K. Banerjee Centre of Atmospheric and Ocean Studies, IIDS, Nehru Science Centre, University of Allahabad, Prayagraj, Uttar Pradesh 211002, IndiaDepartment of Civil Engineering, Faculty of Engineering, University Putra Malaysia, Serdang, Selangor 43400, MalaysiaSchool of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaThe Hydraulics Research Station, P.O. Box 318, Wad Madani, Sudan; United Graduate School of Agricultural Science, Tottori University, Tottori 680-8553, Japan; Agricultural Research Corporation, P.O. Box 126, Wad Medani, SudanWater Research Center, Sultan Qaboos University, OmanStudy region: This study focuses on three hydroclimatic river basins in Africa: Upper Blue Nile Basin (UBNB), Oubangui River Basin (OURB), and Upper Zambezi River Basin (UZRB). Study focus: Accurately estimating potential evapotranspiration (PET) and selecting suitable data sources for hydrological modeling present significant challenges. This study investigates the performance of three gridded PET (GPET) products, GLEAM, GLDAS, and ERA5-Land in hydrological applications, specifically focusing on hydrological simulation and drought assessments. The hydrological performance of these GPET products was evaluated using the Génie Rural à 4 paramètres Journalier (GR4J) model. New hydrological insights for the region: The results indicate that GLEAM PET outperforms other products in simulating daily streamflow for UZRB and OURB, while ERA5-Land PET is more effective in the UBNB. Seasonally, GLEAM PET exhibits the highest accuracy and lowest error in streamflow simulation across all three regions. PET products influence UBNB streamflow less than OURB and UZRB. Simulated other hydrological components using GLEAM PET show the highest agreement with actual evapotranspiration (AET-GLEAM 3.7a) and terrestrial water storage anomalies (GRACE-TWSA) across all three regions. GLEAM effectively detects temporal drought indices (SSI-9, SSI-12). Streamflow simulations with GPET products in the UBNB and UZRB capture drought events more accurately than in the OURB. These findings emphasize the importance of selecting appropriate GPET products to enhance hydrological simulation and drought assessment.http://www.sciencedirect.com/science/article/pii/S2214581824004622Potential evapotranspiration productsStreamflow simulationsHydrological drought detectionHydrological componentsHydro-climatic regionsAfrica
spellingShingle Mohammed Abdallah
Ke Zhang
Sudhir Kumar Singh
Mukhtar Jibril Abdi
Ayman M. Elameen
Almutaz A.A. Mohammed
Hussam Eldin Elzain
Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
Journal of Hydrology: Regional Studies
Potential evapotranspiration products
Streamflow simulations
Hydrological drought detection
Hydrological components
Hydro-climatic regions
Africa
title Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
title_full Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
title_fullStr Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
title_full_unstemmed Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
title_short Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
title_sort hydrological insights comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment
topic Potential evapotranspiration products
Streamflow simulations
Hydrological drought detection
Hydrological components
Hydro-climatic regions
Africa
url http://www.sciencedirect.com/science/article/pii/S2214581824004622
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