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

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Ge, Y., Liang, Y.Z., Wang, J.H., Zhao, Q.Y., Liu, S.M. (2015). Upscaling sensible heat fluxes with area-to-area regression kriging. IEEE Geoscience and Remote Sensing Letters, 12(3), 656-660. doi:10.1109/LGRS.2014.2355871.
Literature information
Type Of Reference JOUR
Title Upscaling Sensible Heat Fluxes With Area-to-Area Regression Kriging
Authors Ge, Yong| Liang, Yongzhong| Wang, Jianghao| Zhao, Qianyi| Liu, Shaomin|
Secondary Title IEEE Geoscience and Remote Sensing Letters
Abstract 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.
Date 2015/03//
Year 2015
DOI 10.1109/LGRS.2014.2355871
Database Provider IEEE Xplore
volume 12
Issue Number 3
Start Page 656
Issn 1545-598X
Keywords Apertures| Area-to-area| area-to-area regression kriging| ATARK| 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|
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