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dc.contributor.authorAgutu, N.O.
dc.contributor.authorAwange, Joseph
dc.contributor.authorNdehedehe, C.
dc.contributor.authorMwaniki, M.
dc.date.accessioned2021-11-25T02:40:39Z
dc.date.available2021-11-25T02:40:39Z
dc.date.issued2020
dc.identifier.citationAgutu, N.O. and Awange, J.L. and Ndehedehe, C. and Mwaniki, M. 2020. Consistency of agricultural drought characterization over Upper Greater Horn of Africa (1982–2013): Topographical, gauge density, and model forcing influence. Science of the Total Environment. 709: ARTN 135149.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/86610
dc.identifier.doi10.1016/j.scitotenv.2019.135149
dc.description.abstract

The negative impact of Upper Greater Horn of Africa's (UGHA) complex topography on drought characterization exacerbated by gauge density and model forcing parameters has not been investigated. In order to fill this gap, this study employs a combination of remotely sensed, in situ, and model products (1982–2013); precipitation (CHIRPS, GPCC, and CHIRP), soil moisture (ERA-Interim, MERRA-2, CPC, GLDAS, and FLDAS), vegetation condition index (VCI), and total water storage products (GRACE and MERRA-2) to (i) characterize drought, (ii) explore the inconsistencies in areas under drought due to topographical variations, gauge density, and model forcing parameters, and (iii), assess the effectiveness of various drought indicators over Ethiopia (a selected UGHA region with unique topographical variation). A 3-month time scale that sufficiently captures agricultural drought is employed to provide an indirect link to food security situation in this rain-dependent region. The spatio-temporal drought patterns across all the products are found to be dependent on topography of the region, at the same time, the inconsistencies in characterizing drought is found to be mainly driven by topographical variability (directly) and gauge density (inversely) for precipitation products while for soil moisture products, precipitation forcing parameters plays a major role. In addition, the inconsistencies are found to be higher under extreme and moderate droughts than severe droughts. The mean differences in the percentage of areas under drought and different drought intensities over the region are on average 15.87% and 6.16% (from precipitation products) and 12.65% and 5.20% (from soil moisture products), respectively. On the effectiveness of various indicators, for the duration under study, the following were found to be most suitable over Ethiopia; VCI, GPCC, ERA, CPC, and FLDAS. These results are critical in putting into perspective drought analysis outcomes from various products.

dc.languageEnglish
dc.publisherELSEVIER
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectEnvironmental Sciences
dc.subjectEnvironmental Sciences & Ecology
dc.subjectAgricultural drought
dc.subjectEffectiveness of drought indicators
dc.subjectTotal water storage
dc.subjectVCI
dc.subjectStandardized index
dc.subjectStandardized soil moisture index
dc.subjectSTANDARDIZED PRECIPITATION INDEX
dc.subjectSATELLITE RAINFALL PRODUCTS
dc.subjectTERRESTRIAL WATER STORAGE
dc.subjectSOIL-MOISTURE
dc.subjectMETEOROLOGICAL DROUGHT
dc.subjectVARIABILITY
dc.subjectCLIMATE
dc.subjectREANALYSIS
dc.subjectTEMPERATURE
dc.subjectVALIDATION
dc.titleConsistency of agricultural drought characterization over Upper Greater Horn of Africa (1982–2013): Topographical, gauge density, and model forcing influence.
dc.typeJournal Article
dcterms.source.volume709
dcterms.source.issn0048-9697
dcterms.source.titleScience of the Total Environment
dc.date.updated2021-11-25T02:40:39Z
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusIn process
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidAwange, Joseph [0000-0003-3533-613X]
curtin.contributor.researcheridAwange, Joseph [A-3998-2008]
curtin.identifier.article-numberARTN 135149
dcterms.source.eissn1879-1026
curtin.contributor.scopusauthoridAwange, Joseph [6603092635]


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