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East Africa rainfall trends and variability 1983–2015 using three long-term satellite products
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dc.contributor.authorCattani, Elsaes_ES
dc.contributor.authorMerino Suances, Andréses_ES
dc.contributor.authorGuijarro Pastor, José Antonioes_ES
dc.contributor.authorLevizzani, Vincenzoes_ES
dc.date.accessioned2018-06-13T09:28:29Z-
dc.date.available2018-06-13T09:28:29Z-
dc.date.issued2018-
dc.identifier.citationRemote Sensing. 2018, 10(6), 931es_ES
dc.identifier.issn2072-4292-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/9320-
dc.description.abstractDaily time series from the Climate Prediction Center (CPC) Africa Rainfall Climatology version 2.0 (ARC2), Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) and Tropical Applications of Meteorology using SATellite (TAMSAT) African Rainfall Climatology And Time series version 2 (TARCAT) high-resolution long-term satellite rainfall products are exploited to study the spatial and temporal variability of East Africa (EA, 5S–20N, 28–52E) rainfall between 1983 and 2015. Time series of selected rainfall indices from the joint CCl/CLIVAR/JCOMM Expert Team on Climate Change Detection and Indices are computed at yearly and seasonal scales. Rainfall climatology and spatial patterns of variability are extracted via the analysis of the total rainfall amount (PRCPTOT), the simple daily intensity (SDII), the number of precipitating days (R1), the number of consecutive dry and wet days (CDD and CWD), and the number of very heavy precipitating days (R20). Our results show that the spatial patterns of such trends depend on the selected rainfall product, as much as on the geographic areas characterized by statistically significant trends for a specific rainfall index. Nevertheless, indications of rainfall trends were extracted especially at the seasonal scale. Increasing trends were identified for the October–November–December PRCPTOT, R1, and SDII indices over eastern EA, with the exception of Kenya. In March–April–May, rainfall is decreasing over a large part of EA, as demonstrated by negative trends of PRCPTOT, R1, CWD, and R20, even if a complete convergence of all satellite products is not achieved.es_ES
dc.description.sponsorshipThis study was supported by the European Union’s Seventh Programme for research, technological development, and demonstration under Grant Agreement 603608 (eartH2Observe).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsLicencia CC: Reconocimiento CC BYes_ES
dc.subjectSatellitees_ES
dc.subjectPrecipitationes_ES
dc.subjectETCCDIes_ES
dc.subjectDrought indiceses_ES
dc.subjectTrend analysises_ES
dc.titleEast Africa rainfall trends and variability 1983–2015 using three long-term satellite productses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://dx.doi.org/10.3390/rs10060931es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/603608es_ES
Colecciones: Artículos científicos 2015-2018


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