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Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging

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Hu, M.G., Wang, J.H., Ge, Y., Liu, M.X., Liu, S.M., Xu, Z.W., &Xu, T.R. (2015). Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging. Atmosphere, 6(8), 1032-1044.
Literature information
Type Of Reference JOUR
Title Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging
Authors Hu, Maogui| Wang, Jianghao| Ge, Yong| Liu, Mengxiao| Liu, Shaomin| Xu, Ziwei| Xu, Tongren|
Secondary Title Atmosphere
Abstract Sensible heat flux (H) plays an important role in characterizations of land surface water and heat balance. There are various types of H measurement methods that depend on observation scale, from local-area-scale eddy covariance (EC) to regional-scale large aperture scintillometer (LAS) and remote sensing (RS) products. However, methods of converting one H scale to another to validate RS products are still open for question. A previous area-to-area regression kriging-based scaling method performed well in converting EC-scale H to LAS-scale H. However, the method does not consider the path-weighting function in the EC- to LAS-scale kriging with the regression residue, which inevitably brought about a bias estimation. In this study, a weighted area-to-area regression kriging (WATA RK) model is proposed to convert EC-scale H to LAS-scale H. It involves path-weighting functions of EC and LAS source areas in both regression and area kriging stages. Results show that WATA RK outperforms traditional methods in most cases, improving estimation accuracy. The method is considered to provide an efficient validation of RS H flux products.
Date 2015/07/24/
Year 2015
DOI 10.3390/atmos6081032
Database Provider www.mdpi.com
volume 6
Issue Number 8
Start Page 1032
Language en
Url http://www.mdpi.com/2073-4433/6/8/1032
Access Date 2015/10/01/07:17:02
Keywords area-to-area regression kriging| Downscaling| EC| heat flux| LAS| upscaling|
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