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

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