Land Surface Temperature Trend and Its Drivers in East Africa

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dc.contributor.author Abera, Temesgen
dc.contributor.author Pellikka, Petri
dc.contributor.author Heiskanen, Janne
dc.contributor.author Maeda, Eduardo
dc.date.accessioned 2021-03-03T13:53:01Z
dc.date.available 2021-03-03T13:53:01Z
dc.date.issued 2020-12-16
dc.identifier.citation Abera , T , Pellikka , P , Heiskanen , J & Maeda , E 2020 , ' Land Surface Temperature Trend and Its Drivers in East Africa ' , Journal of Geophysical Research : Atmospheres , vol. 125 , no. 23 , ARTN e2020JD033446 . https://doi.org/10.1029/2020JD033446
dc.identifier.other PURE: 156742479
dc.identifier.other PURE UUID: 987945bb-6f0f-45e3-a3a7-55b94a892dfe
dc.identifier.other WOS: 000599939900005
dc.identifier.other ORCID: /0000-0001-7932-1824/work/95925870
dc.identifier.uri http://hdl.handle.net/10138/327453
dc.description.abstract Land surface temperature (LST) is affected by surface-atmosphere interaction. Yet, the degree to which surface and atmospheric factors impact the magnitude of LST trend is not well established. Here, we used surface energy balance, boosted regression tree model, and satellite observation and reanalysis data to unravel the effects of surface factors (albedo, sensible heat, latent heat, and ground heat) as well as incoming radiation (shortwave and longwave) on LST trends in East Africa (EA). Our result showed that 11% of EA was affected by significant (p <0.05) daytime annual LST trends, which exhibited both cooling of -0.19 K year(-1) (mainly in South Sudan and Sudan) and warming of 0.22 K year(-1) (mainly in Somalia and Kenya). The nighttime LST trends affected a large part of EA (31%) and were dominated by significant warming trend (0.06 K year(-1)). Influenced by contrasting daytime and nighttime LST trends, the diurnal LST range reduced in 15% of EA. The modeling result showed that latent heat flux (32%), incoming longwave radiation (30%), and shortwave radiation (23%) were stronger in explaining daytime LST trend. The effects of surface factors were stronger in both cooling and warming trends, whereas atmospheric factors had stronger control only on surface cooling trends. These results indicate the differential control of surface and atmospheric factors on warming and cooling trends, highlighting the importance of considering both factors for accurate evaluation of the LST trends in the future. en
dc.format.extent 18
dc.language.iso eng
dc.relation.ispartof Journal of Geophysical Research : Atmospheres
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 1171 Geosciences
dc.subject land surface temperature
dc.subject trend
dc.subject surface energy balance
dc.subject MODIS Aqua
dc.subject MERRA&#8208
dc.subject 2
dc.subject SOIL-MOISTURE
dc.subject CLIMATE
dc.subject VALIDATION
dc.subject ATMOSPHERE
dc.subject COVER
dc.subject ECOSYSTEMS
dc.subject MECHANISMS
dc.subject MANAGEMENT
dc.subject FEEDBACKS
dc.subject PRODUCTS
dc.title Land Surface Temperature Trend and Its Drivers in East Africa en
dc.type Article
dc.contributor.organization Department of Geosciences and Geography
dc.contributor.organization Earth Change Observation Laboratory (ECHOLAB)
dc.contributor.organization Global Atmosphere-Earth surface feedbacks
dc.contributor.organization Institute for Atmospheric and Earth System Research (INAR)
dc.contributor.organization TreeD lab - Terrestrial Ecosystem Dynamics
dc.contributor.organization Helsinki Institute of Sustainability Science (HELSUS)
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1029/2020JD033446
dc.relation.issn 2169-8996
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion

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