DOI: 10.1029/2018JD028463
Scopus记录号: 2-s2.0-85052201082
论文题名: Heterogeneity in Warm-Season Land-Atmosphere Coupling Over the U.S. Southern Great Plains
作者: Tang Q. ; Xie S. ; Zhang Y. ; Phillips T.J. ; Santanello J.A. ; Cook D.R. ; Riihimaki L.D. ; Gaustad K.L.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 15 起始页码: 7867
结束页码: 7882
语种: 英语
英文关键词: evaporative fraction
; land-atmosphere coupling
; leaf area index
; multiple linear regression
; soil moisture
; Southern Great Plains
英文摘要: Heterogeneity in warm-season (May–August) land-atmosphere (LA) coupling is quantified with the long-time, multiple-station measurements from the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program and the Moderate Resolution Imaging Spectroradiometer satellite remote sensing at the Southern Great Plains (SGP). We examine the coupling strength at seven additional locations with the same surface type (i.e., pasture/grassland) as the ARM SGP central facility (CF). To simultaneously consider multiple factors and consistently quantify their relative contributions, we apply a multiple linear regression method to correlate the surface evaporative fraction (EF) with near-surface soil moisture (SM) and leaf area index (LAI). The observations show moderate to weak terrestrial segment LA coupling with large heterogeneity across the ARM SGP domain in warm season. Large spatial variabilities in the contributions from SM and LAI to the EF changes are also found. The coupling heterogeneities appear to be associated with differences in land use, anthropogenic activities, rooting depth, and soil type at different stations. Therefore, the complex LA interactions at the SGP cannot be well represented by those at the CF/E13 based on the metrics applied here. Overall, the LAI exerts more influence on the EF than does the SM due to its overwhelming impacts on the latent heat flux. This study complements previous studies based on measurements only from the CF and has important implications for modeling LA coupling in weather and climate models. The multiple linear regression provides a more comprehensive measure of the integrated impacts on LA coupling from several different factors. ©2018. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113273
Appears in Collections: 气候减缓与适应
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作者单位: Lawrence Livermore National Laboratory, Livermore, CA, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Argonne National Laboratory, Lemont, IL, United States; Pacific Northwest National Laboratory, Richland, WA, United States
Recommended Citation:
Tang Q.,Xie S.,Zhang Y.,et al. Heterogeneity in Warm-Season Land-Atmosphere Coupling Over the U.S. Southern Great Plains[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(15)