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Use of remotely sensed land surface temperature as a proxy for air temperatures at high elevations: Findings from a 5000 m elevational transect across Kilimanjaro
Author(s) -
Pepin N. C.,
Maeda E. E.,
Williams R.
Publication year - 2016
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1002/2016jd025497
Subject(s) - environmental science , daytime , transect , atmospheric sciences , elevation (ballistics) , moderate resolution imaging spectroradiometer , snow , morning , air temperature , climatology , weather station , satellite , meteorology , geography , geology , medicine , oceanography , geometry , mathematics , aerospace engineering , engineering
High 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 5803 m, one of the biggest elevational ranges in the world. There are substantial differences between LST and T air , sometimes up to 20°C. During the day/night land surface temperature tends to be higher/lower than T air . LST‐ T air differences (Δ T ) 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 Δ T , but these relationships weaken with elevation. At high elevations transient snow cover cools LST more than T air . The predictability of Δ T 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 T max . Δ T is smaller and more consistent at night, so it will be easier to use LST to monitor changes in T min .