A comprehensive evaluation of satellite-based and reanalysis soil moisture products over the upper Blue Nile Basin, Ethiopia

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cg.contributor.affiliationBahir Dar Universityen_US
cg.contributor.affiliationGhent Universityen_US
cg.contributor.affiliationUniversity of Puerto Rico Mayagüezen_US
cg.contributor.affiliationInternational Water Management Instituteen_US
cg.contributor.affiliationAlberta Energy Regulatoren_US
cg.contributor.donorBahir Dar Universityen_US
cg.contributor.donorUniversity of Ghenten_US
cg.contributor.donorUniversity of Calgaryen_US
cg.coverage.countryEthiopiaen_US
cg.coverage.iso3166-alpha2ETen_US
cg.coverage.subregionBlue Nile Basinen_US
cg.coverage.subregionGilgel Abay Watersheden_US
cg.creator.identifierGiriraj Amarnath: 0000-0002-7390-9800en_US
cg.creator.identifierSeifu Tilahun: 0000-0002-5219-4527en_US
cg.identifier.doihttps://doi.org/10.1016/j.srs.2024.100173en_US
cg.identifier.iwmilibraryH053449en_US
cg.isijournalISI Journalen_US
cg.issn2666-0172en_US
cg.journalScience of Remote Sensingen_US
cg.reviewStatusPeer Reviewen_US
cg.volume10en_US
dc.contributor.authorAlaminie, A. A.en_US
dc.contributor.authorAnnys, S.en_US
dc.contributor.authorNyssen, J.en_US
dc.contributor.authorJury, M. R.en_US
dc.contributor.authorAmarnath, Girirajen_US
dc.contributor.authorMekonnen, M. A.en_US
dc.contributor.authorTilahun, Seifu A.en_US
dc.date.accessioned2025-01-28T04:52:20Zen_US
dc.date.available2025-01-28T04:52:20Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/170152en_US
dc.titleA comprehensive evaluation of satellite-based and reanalysis soil moisture products over the upper Blue Nile Basin, Ethiopiaen_US
dcterms.abstractSoil moisture data is crucial for enhancing drought monitoring, optimizing water management, refining irriga tion schedules, forecasting floods, and understanding climate change impacts. Despite the existence of long-term global satellite and reanalysis products, the performance of global satellite products in Ethiopia is underexplored, highlighting a need for comprehensive assessments to effectively utilize these resources and address critical environmental challenges. This research evaluates various operational satellites and reanalysis soil moisture datasets over the Gilgel Abay watershed. The datasets include the European Space Agency’s Climate Change Initiative Soil Moisture (ESA-CCI SM), Soil Moisture and Ocean Salinity (SMOS), NASA’s Soil Moisture Active Passive mission (SMAP Enhanced), the European Centre for Medium-Range Weather Forecasts Fifth Generation Reanalysis (ECMWF ERA5), Climate Forecast System reanalysis (CFSRv2), NASA’s Short-term Prediction Research and Transition Center - Land Information System (SPoRT-LIS), and NASA’s Global Land Data Assimi lation System (GLDAS). After applying bias correction, the Kolmogorov-Smirnov two-sample t-tests, Bonferroni correction, and statistical error metrics, the evaluation reveals that all products, except NASA-GLDAS, effectively capture soil moisture dynamics. SMAP shows superior temporal dynamics, followed by SMOS, ESA-CCI, CFSRv2, LIS and ERA5. Using Spearman’s rank correlation coefficient (rs), SMAP (rs = 0.68) and SMOS (rs = 0.67) identified as the most accurate soil moisture products, with SMOS excelling in spatial representation and closely aligning with the Topographic Wetness Index (TWI). However, the lack of sufficient in situ monitoring networks limits the ability to perform a thorough evaluation. Establishing these networks is essential for improving sat ellite retrievals and modelling in the upper Blue Nile Basin, Ethiopia.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2024-10-26en_US
dcterms.bibliographicCitationAlaminie, A. A.; Annys, S.; Nyssen, J.; Jury, M. R.; Amarnath, Giriraj; Mekonnen, M. A.; Tilahun, Seifu A. 2024. A comprehensive evaluation of satellite-based and reanalysis soil moisture products over the upper Blue Nile Basin, Ethiopia. Science of Remote Sensing, 10:100173. [doi: https://doi.org/10.1016/j.srs.2024.100173]en_US
dcterms.extent100173.en_US
dcterms.issued2024-12en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-ND-4.0en_US
dcterms.publisherElsevieren_US
dcterms.subjectsoil water contenten_US
dcterms.subjectsatellite observationen_US
dcterms.subjectmodelsen_US
dcterms.subjectwatershedsen_US
dcterms.subjectdatasetsen_US
dcterms.typeJournal Articleen_US

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