DOI: 10.1002/2015JD023305
论文题名: Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data
作者: Nicolai-Shaw N. ; Hirschi M. ; Mittelbach H. ; Seneviratne S.I.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2015
卷: 120, 期: 19 起始页码: 9955
结束页码: 9964
语种: 英语
英文关键词: soil moisture
; spatial representativeness
Scopus关键词: climate change
; complex terrain
; data set
; in situ measurement
; quantitative analysis
; remote sensing
; soil moisture
; spatial analysis
; weather forecasting
; North America
英文摘要: This study investigates the spatial representativeness of the temporal dynamics of absolute soil moisture and its temporal anomalies over North America based on a range of data sets. We use three main data sources: in situ observations, the remote-sensing-based data set of the European Space Agency Climate Change Initiative on the Essential Climate Variable soil moisture (ECV-SM), and land surface model estimates from European Centre for Medium-Range Weather Forecasts's ERA-Land. The intercomparisons of the three soil moisture data sources are performed at the in situ locations as well as for the full-gridded products. The applied method allows us to quantify the spatial footprint of soil moisture. At the in situ locations it is shown that for absolute soil moisture the ECV-SM and ERA-Land products perform similarly, while for the temporal anomalies the ECV-SM product shows more similarity in spatial representativeness with the in situ data. When taking into account all grid cells of the ECV-SM and ERA-Land products to calculate spatial representativeness, we find the largest differences in spatial representativeness for the absolute values. The differences in spatial representativeness between the single products can be related to some of their intrinsic characteristics, i.e., for ECV-SM low similarities are found in topographically complex terrain and areas with dense vegetation, while for ERA-Land the smoothed model topography and surface properties affect soil moisture and its spatial representativeness. Additionally, we show that the applied method is robust and can be used to analyze existing networks to provide insight into the locations in which higher station density would be of most benefit. ©2015. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62975
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Recommended Citation:
Nicolai-Shaw N.,Hirschi M.,Mittelbach H.,et al. Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data[J]. Journal of Geophysical Research: Atmospheres,2015-01-01,120(19)