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Article: Use of remotely sensed land surface temperature as a proxy for air temperatures at high elevations: Findings from a 5000m elevational transect across Kilimanjaro

TitleUse of remotely sensed land surface temperature as a proxy for air temperatures at high elevations: Findings from a 5000m elevational transect across Kilimanjaro
Authors
Issue Date2016
Citation
Journal of Geophysical Research: Atmospheres, 2016, v. 121, n. 17, p. 9998-10015 How to Cite?
AbstractHigh elevations are thought to be warming more rapidly than lower elevations, but there is a lack of air temperature observations in high mountains. This study compares instantaneous values of land surface temperature (10: 30/22: 30 and 01: 30/13: 30 local solar time) as measured by Moderate Resolution Imaging Spectroradiometer MOD11A2/MYD11A2 at 1 km resolution from the Terra and Aqua platforms, respectively, with equivalent screen-level air temperatures (in the same pixel). We use a transect of 22 in situ weather stations across Kilimanjaro ranging in elevation from 990 to 5803m, one of the biggest elevational ranges in the world. There are substantial differences between LST and Tair, sometimes up to 20°C. During the day/night land surface temperature tends to be higher/lower than Tair. LST-Tair differences (ΔT) show large variance, particularly during the daytime, and tend to increase with elevation, particularly on the NE slope which faces the morning Sun. Differences are larger in the dry seasons (JF and JJAS) and reduce in cloudy seasons. Healthier vegetation (as measured by normalized difference vegetation index) and increased humidity lead to reduced daytime surface heating above air temperature and lower ΔT, but these relationships weaken with elevation. At high elevations transient snow cover cools LST more than Tair. The predictability of ΔT therefore reduces. It will therefore be challenging to use satellite data at high elevations as a proxy for in situ air temperatures in climate change assessments, especially for daytime Tmax. ΔT is smaller and more consistent at night, so it will be easier to use LST to monitor changes in Tmin.
Persistent Identifierhttp://hdl.handle.net/10722/309230
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 1.710
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPepin, N. C.-
dc.contributor.authorMaeda, E. E.-
dc.contributor.authorWilliams, R.-
dc.date.accessioned2021-12-15T03:59:47Z-
dc.date.available2021-12-15T03:59:47Z-
dc.date.issued2016-
dc.identifier.citationJournal of Geophysical Research: Atmospheres, 2016, v. 121, n. 17, p. 9998-10015-
dc.identifier.issn2169-897X-
dc.identifier.urihttp://hdl.handle.net/10722/309230-
dc.description.abstractHigh elevations are thought to be warming more rapidly than lower elevations, but there is a lack of air temperature observations in high mountains. This study compares instantaneous values of land surface temperature (10: 30/22: 30 and 01: 30/13: 30 local solar time) as measured by Moderate Resolution Imaging Spectroradiometer MOD11A2/MYD11A2 at 1 km resolution from the Terra and Aqua platforms, respectively, with equivalent screen-level air temperatures (in the same pixel). We use a transect of 22 in situ weather stations across Kilimanjaro ranging in elevation from 990 to 5803m, one of the biggest elevational ranges in the world. There are substantial differences between LST and Tair, sometimes up to 20°C. During the day/night land surface temperature tends to be higher/lower than Tair. LST-Tair differences (ΔT) show large variance, particularly during the daytime, and tend to increase with elevation, particularly on the NE slope which faces the morning Sun. Differences are larger in the dry seasons (JF and JJAS) and reduce in cloudy seasons. Healthier vegetation (as measured by normalized difference vegetation index) and increased humidity lead to reduced daytime surface heating above air temperature and lower ΔT, but these relationships weaken with elevation. At high elevations transient snow cover cools LST more than Tair. The predictability of ΔT therefore reduces. It will therefore be challenging to use satellite data at high elevations as a proxy for in situ air temperatures in climate change assessments, especially for daytime Tmax. ΔT is smaller and more consistent at night, so it will be easier to use LST to monitor changes in Tmin.-
dc.languageeng-
dc.relation.ispartofJournal of Geophysical Research: Atmospheres-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleUse of remotely sensed land surface temperature as a proxy for air temperatures at high elevations: Findings from a 5000m elevational transect across Kilimanjaro-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1002/2016JD025497-
dc.identifier.scopuseid_2-s2.0-84985919175-
dc.identifier.volume121-
dc.identifier.issue17-
dc.identifier.spage9998-
dc.identifier.epage10015-
dc.identifier.eissn2169-8996-
dc.identifier.isiWOS:000384823000029-

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