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Upscaling Sensible Heat Fluxes With Area-to-Area Regression Kriging



Surface sensible heat flux (SHF) is a critical indicator for understanding heat exchange at the land-atmosphere interface. A common method for estimating regional SHF is to use ground observations with approaches such as eddy correlation (EC) or the use of a large aperture scintillometer (LAS). However, data observed by these different methods might have an issue with different spatial supports for cross-validation and comparison. This letter utilizes a geostatistical method called area-to-area regression kriging (ATARK) to solve this problem. The approach is illustrated by upscaling SHF from EC to LAS supports in the Heihe River basin, China. To construct a point support variogram, a likelihood function of four parameters (nugget, sill, range, and shape parameters) conditioned by EC observations is used. The results testify to the applicability of ATARK as a solution for upscaling SHF from EC support to LAS support.


  • Apertures
  • Area-to-area
  • area-to-area regression kriging
  • atmospheric temperature
  • China
  • critical indicator
  • cross-validation
  • Earth
  • eddy correlation observations
  • Estimation
  • geophysical techniques
  • geostatistical method
  • ground observations
  • heat exchange
  • Heating
  • Heat transfer
  • Heihe River Basin
  • kriging
  • land-atmosphere interface
  • land surface
  • Land surface temperature
  • Large aperture scintillometer
  • likelihood function
  • nugget parameter
  • point support variogram
  • range parameter
  • regional sensible heat flux
  • regression analysis
  • Remote sensing
  • rivers
  • sensible heat flux (SHF)
  • shape parameter
  • sill parameter
  • surface sensible heat flux
  • upscaling
  • upscaling sensible heat flux


Ge Y, Liang YZ, Wang JH, Zhao QY, Liu SM. Upscaling sensible heat fluxes with area-to-area regression kriging.  IEEE Geoscience and Remote Sensing Letters, 2015, 12(3), 656-660.doi:10.1109/LGRS.2014.2355871

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