Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging
文献类型：SCI/SSCI论文
| 作者 | Hu M. G.; Wang, J. H.; Ge, Y.; Liu, M. X.; Liu, S. M.; Xu, Z. W.; Xu, T. R. |
| 发表日期 | 2015 |
| 关键词 | heat flux EC LAS upscaling downscaling area-to-area regression kriging large-aperture scintillometer eddy-covariance land-surface field experiment evapotranspiration modis algorithm forest energy nopex |
| 英文摘要 | 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. |
| 出处 | Atmosphere |
| 卷 | 6 |
| 期 | 8 |
| 页 | 1032-1044 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 2073-4433 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38648]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Hu M. G.,Wang, J. H.,Ge, Y.,et al. Scaling Flux Tower Observations of Sensible Heat Flux Using Weighted Area-to-Area Regression Kriging. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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