DOI: 10.1002/2015JD024482
论文题名: Spatial validation of large-scale land surface models against monthly land surface temperature patterns using innovative performance metrics
作者: Koch J. ; Siemann A. ; Stisen S. ; Sheffield J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
语种: 英语
英文关键词: Connectivity analysis
; EOF analysis
; Land surface temperature
; NLDAS
; Remote sensing
; Spatial validation
英文摘要: Land surface models (LSMs) are a key tool to enhance process understanding and to provide predictions of the terrestrial hydrosphere and its atmospheric coupling. Distributed LSMs predict hydrological states and fluxes, such as land surface temperature (LST) or actual evapotranspiration (aET), at each grid cell. LST observations are widely available through satellite remote sensing platforms that enable comprehensive spatial validations of LSMs. In spite of the great availability of LST data, most validation studies rely on simple cell to cell comparisons and thus do not regard true spatial pattern information. The core novelty of this study is the development and application of two innovative spatial performance metrics, namely, empirical orthogonal function (EOF) and connectivity analyses, to validate predicted LST patterns by three LSMs (Mosaic, Noah, Variable Infiltration Capacity (VIC)) over the contiguous United States. The LST validation data set is derived from global High-Resolution Infrared Radiometric Sounder retrievals for a 30year period. The metrics are bias insensitive, which is an important feature in order to truly validate spatial patterns. The EOF analysis evaluates the spatial variability and pattern seasonality and attests better performance to VIC in the warm months and to Mosaic and Noah in the cold months. Further, more than 75% of the LST variability can be captured by a single pattern that is strongly correlated to air temperature. The connectivity analysis assesses the homogeneity and smoothness of patterns. The LSMs are most reliable at predicting cold LST patterns in the warm months and vice versa. Lastly, the coupling between aET and LST is investigated at flux tower sites and compared against LSMs to explain the identified LST shortcomings. ©2016. American Geophysical Union. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62953
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
There are no files associated with this item.
作者单位: Department of Geosciences and Natural Resources Management University of Copenhagen Copenhagen Denmark; Department of Hydrology Geological Survey of Denmark and Greenland Copenhagen Denmark; Department of Environmental and Civil Engineering Princeton University Princeton, New Jersey USA
Recommended Citation:
Koch J.,Siemann A.,Stisen S.,et al. Spatial validation of large-scale land surface models against monthly land surface temperature patterns using innovative performance metrics[J]. Journal of Geophysical Research: Atmospheres,2016-01-01