Spatiotemporal variability of soil moisture over Ethiopia and its teleconnections with remote and local drivers

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cg.authorship.typesCGIAR single centreen
cg.authorship.typesNot CGIAR developing country instituteen
cg.contributor.affiliationAddis Ababa Universityen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationAccelerating Impacts of CGIAR Climate Research for Africaen
cg.contributor.affiliationUniversity of Québecen
cg.contributor.affiliationNORCE Norwegian Research Centreen
cg.contributor.donorWorld Banken
cg.contributor.donorEuropean Unionen
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.creator.identifierTamirat Bekele Jimma: 0000-0003-1302-8507en
cg.creator.identifierTeferi Demissie: 0000-0002-0228-1972en
cg.creator.identifierGulilat T. Diro: 0000-0001-7037-0806en
cg.creator.identifierKassahun Ture Beketie: 0000-0001-6718-6485en
cg.creator.identifierTadesse Terefe Zeleke: 0000-0002-1111-6354en
cg.creator.identifierDawit Solomon: 0000-0002-6839-6801en
cg.identifier.doihttps://doi.org/10.1007/s00704-022-04335-7en
cg.isijournalISI Journalen
cg.issn0177-798Xen
cg.issue3-4en
cg.journalTheoretical and Applied Climatologyen
cg.volume151en
dc.contributor.authorJimma, Tamirat Ben
dc.contributor.authorDemissie, Teferien
dc.contributor.authorDiro, Gulilat Ten
dc.contributor.authorTure, Kassahunen
dc.contributor.authorTerefe, Tadesseen
dc.contributor.authorSolomon, Dawiten
dc.date.accessioned2024-06-26T13:28:42Zen
dc.date.available2024-06-26T13:28:42Zen
dc.identifier.urihttps://hdl.handle.net/10568/148732
dc.titleSpatiotemporal variability of soil moisture over Ethiopia and its teleconnections with remote and local driversen
dcterms.abstractSoil moisture is one of the essential climate variables with a potential impact on local climate variability. Despite the importance of soil moisture, studies on soil moisture characteristics in Ethiopia are less documented. In this study, the spatiotemporal variability of Ethiopian soil moisture (SM) has been characterized, and its local and remote influential driving factors are investigated. An empirical orthogonal function (EOF) and KMeans clustering algorithm have been employed to classify the large domain into homogeneous zones. Complex maximum covariance analysis (CMCA) is applied to evaluate the covariability between SM and selected local and remote variables such as rainfall (RF), evapotranspiration (ET), and sea surface temperature (SST). Inter-comparison among SM datasets highlight that the FLDAS dataset better depicts the country’s SM spatial and temporal distribution (i.e., a correlation coefficient, with observations). Results also indicate that regions located in northeastern Ethiopia are drier irrespective of the season (JJAS, MAM, and OND) considered. In contrast, the western part of the country consistently depicted a wetter condition in all seasons. During summer (JJAS), the soil moisture variability is characterized by a strong east–west spatial contrast. The highest and lowest soil moisture values were observed across the country’s central western and eastern parts, respectively. Furthermore, analyses indicate that interannual variability of SM is dictated substantially by RF, though the impact on some regions is weaker. It is also found that ET likely drives the SM in the eastern part of Ethiopia due to a higher atmospheric moisture demand that ultimately invokes changes in surface humidity and rainfall. A composite analysis based on the extreme five wettest and driest SM years revealed a similar spatial distribution of wet SM with positive anomalies of RF across the country and ET over the southern regions. Remote SSTs are also found to have a significant influence on SM distribution. In particular, equatorial central Pacific and western Indian oceans SST anomalies are predominant factors for spatiotemporal SM variations over the country. Major global oceanic indices: Oceanic Nino Index (ONI), Indian Ocean Dipole (IOD), Pacific warm pool (PACWARMPOOL), and Pacific Decadal Oscillations (PDO) are found to be closely associated with the SM anomalies in various parts of the country. The associationship between these remote SST anomalies and local soil moisture is via large-scale atmospheric circulations that are linked to regional factors such as precipitation and temperature anomalies.en
dcterms.accessRightsOpen Access
dcterms.audienceAcademicsen
dcterms.audienceCGIARen
dcterms.audienceDevelopment Practitionersen
dcterms.audiencePolicy Makersen
dcterms.audienceScientistsen
dcterms.bibliographicCitationJimma TB, Demissie T, Diro GT, Ture K, Terefe T, Solomon D. 2024. Spatiotemporal variability of soil moisture over Ethiopia and its teleconnections with remote and local drivers (Correction). Theoretical and Applied Climatology 151:1911-1929.en
dcterms.extent1911-1929en
dcterms.issued2024-04-20en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherSpringeren
dcterms.subjectsoilen
dcterms.subjectsoil moistureen
dcterms.typeJournal Article

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