DocumentCode :
9180
Title :
Modeling of Day-to-Day Temporal Progression of Clear-Sky Land Surface Temperature
Author :
Si-Bo Duan ; Zhao-Liang Li ; Hua Wu ; Bo-Hui Tang ; Xiaoguang Jiang ; Guoqing Zhou
Author_Institution :
State Key Lab. of Resources & Environ. Inf. Syst., Inst. of Geographic Sci. & Natural Resources Res., Beijing, China
Volume :
10
Issue :
5
fYear :
2013
fDate :
Sept. 2013
Firstpage :
1050
Lastpage :
1054
Abstract :
This letter presents a method to calculate the width ω over the half-period of the cosine term in a diurnal temperature cycle (DTC) model. ω deduced from the thermal diffusion equation (TDE) is compared with ω obtained from solar geometry. The results demonstrate that ω deduced from the TDE describes the shape of the DTC model more adequately around sunrise and the time of maximum temperature than ω obtained from solar geometry. Additionally, taking into account the physical continuity of land surface temperature (LST) variation, a day-to-day temporal progression (DDTP) model of LST is developed to model several days of DTCs. The results indicate that the DDTP model fits in situ [or Spinning Enhanced Visible and Infrared Imager (SEVIRI)] LST well with a root-mean-square error (RMSE) less than 1 K. Compared with the DTC model, the DDTP model slightly increases the quality of LST fits around sunrise. Assuming that only six LST measurements corresponding to the NOAA/AVHRR and MODIS overpass times for each day are available, several days of DTCs can be predicted by the DDTP model with an RMSE less than 1.5 K.
Keywords :
land surface temperature; DTC model; MODIS overpass time; NOAA AVHRR overpass time; SEVIRI instrument; Spinning Enhanced Visible and Infrared Imager; clear sky land surface temperature; day-to-day temporal progression; diurnal temperature cycle; solar geometry; sunrise; thermal diffusion equation; Atmospheric modeling; Land surface; Land surface temperature; MODIS; Remote sensing; Temperature measurement; Temperature sensors; Day-to-day temporal progression (DDTP); diurnal temperature cycle (DTC); land surface temperature (LST); modeling;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2012.2228465
Filename :
6410342
Link To Document :
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