Diurnal cycle of land surface temperature in a desert encroachment zone as observed from satellites

被引:27
作者
Pinker, R. T.
Sun, D.
Miller, M.
Robinson, G. J.
机构
[1] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
[2] Univ Reading, Environm Syst Sci Ctr, Reading RG6 6AL, Berks, England
[3] George Mason Univ, Ctr Earth Observing & Space Res, Fairfax, VA 22030 USA
[4] Brookhaven Natl Lab, Dept Environm Sci, Upton, NY 11973 USA
关键词
D O I
10.1029/2007GL030186
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Climate variability in the African Soudano-Sahel savanna zone has attracted much attention because of the persistence of anomalously low rainfall. Past efforts to monitor the climate of this region have focused on rainfall and vegetation conditions, while land surface temperature (LST) has received less attention. Remote sensing of LST is feasible and possible at global scale. Most remotely sensed estimates of LST are based on the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) that are limited in their ability to capture the full diurnal cycle. Although more frequent observations are available from past geostationary satellites, their spatial resolution is coarser than that of polar orbiting satellites. In this study, the improved capabilities of the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the METEOSAT Second Generation (MSG) instrument are used to remotely sense the LST in the African Soudano-Sahel savanna zone at a resolution of 3 km and 15 minutes. In support of the Radiative Atmospheric Divergence using the ARM Mobile Facility (AMF), GERB and AMMA Stations (RADAGAST) project, African Monsoon Multidisciplinary Analyses (AMMA) project and the Department of Energy's Atmospheric Radiation Measurement (ARM) program, the ARM Mobile Facility was deployed during 2006 in this climatically sensitive region, thereby providing a unique opportunity to evaluate remotely sensed algorithms for deriving LST.
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