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