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dc.contributor.authorAwange, Joseph
dc.contributor.authorHu, K.X.
dc.contributor.authorKhaki, M.
dc.date.accessioned2021-11-25T02:44:35Z
dc.date.available2021-11-25T02:44:35Z
dc.date.issued2019
dc.identifier.citationAwange, J.L. and Hu, K.X. and Khaki, M. 2019. The newly merged satellite remotely sensed, gauge and reanalysis-based Multi-Source Weighted-Ensemble Precipitation: Evaluation over Australia and Africa (1981–2016). Science of the Total Environment. 670: pp. 448-465.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/86613
dc.identifier.doi10.1016/j.scitotenv.2019.03.148
dc.description.abstract

The Australian and African continents, regions prone to hydroclimate extremes (e.g., droughts and floods), but with sparse distribution of rain-gauge that are limited in time, rely heavily on complementary satellite and reanalysis data to provide important crucial information necessary for informing policies and management. The problem, however, is that satellite products suffer from systematic biases while reanalysis products carry over uncertainties from their forcing parameters. Multi-Source Weighted-Ensemble Precipitation (MSWEP) is a new global rainfall-product that merges satellite, rain-gauge and re-analysis data to exploit their advantages and minimise their disadvantages. Although MSWEP has been validated globally, this product, together with its potential applications, e.g., in water storage fluxes, river discharge and climate impacts studies over Australia and Africa, regions with urgent need of reliable products, has however, not been verified. Using GRACE satellite products, GLDAS model data, GRDC runoff products, and ENSO/IOD climate indices; five rainfall products - FLUXNET, BoM, GPCC, CHIRPS, and AgCFSR; and a suite of statistical methods (Pearson, Kolmogorov-Smirnov, PCA and Three-Corner-Hat (TCH)), this study (i) evaluates monthly MSWEP-V2.1 data (1981–2016), and (ii), assesses its potential applications to water storage flux (within the water balance framework), river discharge analysis, and climate impacts studies. The results show good MSWEP correlations and cumulative distribution with BoM product over most of Australia except in regions with heavy monsoonal rainfall, e.g., northern and north-western Australia where it tends to underestimate. Over Africa, MSWEP has no obvious advantages compared to insitu-GPCC, satellite-CHIRPS or reanalysis-AgCFSR. Furthermore, it is unable to reflect on major hydro-climate extremes over west, east and southern Africa, where it underestimates compared to CHIRPS. Its potential applications to water storage flux, discharge and climate impacts over the two continents show better suitability for water storage flux in Africa, while no advantages are seen compared to other rainfall products on other aspects.

dc.languageEnglish
dc.publisherELSEVIER SCIENCE BV
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectEnvironmental Sciences
dc.subjectEnvironmental Sciences & Ecology
dc.subjectAustralia
dc.subjectAfrica
dc.subjectPrecipitation
dc.subjectMSWEP
dc.subjectEvaluation
dc.subjectTERRESTRIAL WATER STORAGE
dc.subjectWEST-AFRICA
dc.subjectGLOBAL PRECIPITATION
dc.subjectGREATER HORN
dc.subjectRAINFALL
dc.subjectCLIMATE
dc.subjectDROUGHTS
dc.subjectPRODUCTS
dc.subjectTRMM
dc.subjectDATASETS
dc.titleThe newly merged satellite remotely sensed, gauge and reanalysis-based Multi-Source Weighted-Ensemble Precipitation: Evaluation over Australia and Africa (1981–2016)
dc.typeJournal Article
dcterms.source.volume670
dcterms.source.startPage448
dcterms.source.endPage465
dcterms.source.issn0048-9697
dcterms.source.titleScience of the Total Environment
dc.date.updated2021-11-25T02:44:35Z
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]
dcterms.source.eissn1879-1026
curtin.contributor.scopusauthoridAwange, Joseph [6603092635]


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