Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging
Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging
复制标题
DOI：
10.3390/atmos6081032
复制
发表时间：
2015-07
期刊：
影响因子：
2.9
通讯作者：
Maogui Hu;Jianghao Wang;Y. Ge;Mengxiao Liu;Shaomin Liu;Ziwei Xu;Tongren Xu
中科院分区：
文献类型：
--
作者：
Maogui Hu;Jianghao Wang;Y. Ge;Mengxiao Liu;Shaomin Liu;Ziwei Xu;Tongren Xu
感热通量是表征地表水热平衡的重要参数。有各种类型的H测量方法，取决于观测尺度，从局部区域尺度涡动相关（EC）到区域尺度大孔径雷达（LAS）和遥感（RS）产品。然而，将一个H尺度转换为另一个H尺度以验证RS产品的方法仍然有待商榷。先前的基于面积回归克里金的缩放方法在将EC尺度H转换为LAS尺度H方面表现良好。然而，该方法没有考虑路径加权函数的EC到LAS尺度克里格与回归残差，这不可避免地带来了偏估计。在这项研究中，加权面积到面积回归克里格（WATA RK）模型被提出来转换EC尺度H到LAS尺度H。它涉及在回归和面积克里金法阶段EC和LAS源区的路径加权函数。结果表明，WATA RK在大多数情况下优于传统方法，提高了估计精度。认为该方法可有效验证RS H通量产品。
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.