• 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