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Title: Heterogeneity in Warm-Season Land-Atmosphere Coupling Over the U.S. Southern Great Plains

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 onmore » 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. In conclusion, the multiple linear regression provides a more comprehensive measure of the integrated impacts on LA coupling from several different factors.« less
Authors:
ORCiD logo [1] ; ORCiD logo [1] ;  [1] ; ORCiD logo [1] ; ORCiD logo [2] ; ORCiD logo [3] ; ORCiD logo [4] ; ORCiD logo [4]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  3. Argonne National Lab. (ANL), Lemont, IL (United States)
  4. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Report Number(s):
LLNL-JRNL-745706
Journal ID: ISSN 2169-897X; 930220
Grant/Contract Number:
AC52-07NA27344; KP170401-SCW0783
Type:
Published Article
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 123; Journal Issue: 15; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Research Org:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; land‐atmosphere coupling; multiple linear regression; evaporative fraction; soil moisture; leaf area index; Southern Great Plains
OSTI Identifier:
1463181
Alternate Identifier(s):
OSTI ID: 1463182; OSTI ID: 1478614

Tang, Qi, Xie, Shaocheng, Zhang, Yunyan, Phillips, Thomas J., Santanello, Joseph A., Cook, David R., Riihimaki, Laura D., and Gaustad, Krista L.. Heterogeneity in Warm-Season Land-Atmosphere Coupling Over the U.S. Southern Great Plains. United States: N. p., Web. doi:10.1029/2018JD028463.
Tang, Qi, Xie, Shaocheng, Zhang, Yunyan, Phillips, Thomas J., Santanello, Joseph A., Cook, David R., Riihimaki, Laura D., & Gaustad, Krista L.. Heterogeneity in Warm-Season Land-Atmosphere Coupling Over the U.S. Southern Great Plains. United States. doi:10.1029/2018JD028463.
Tang, Qi, Xie, Shaocheng, Zhang, Yunyan, Phillips, Thomas J., Santanello, Joseph A., Cook, David R., Riihimaki, Laura D., and Gaustad, Krista L.. 2018. "Heterogeneity in Warm-Season Land-Atmosphere Coupling Over the U.S. Southern Great Plains". United States. doi:10.1029/2018JD028463.
@article{osti_1463181,
title = {Heterogeneity in Warm-Season Land-Atmosphere Coupling Over the U.S. Southern Great Plains},
author = {Tang, Qi and Xie, Shaocheng and Zhang, Yunyan and Phillips, Thomas J. and Santanello, Joseph A. and Cook, David R. and Riihimaki, Laura D. and Gaustad, Krista L.},
abstractNote = {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. In conclusion, the multiple linear regression provides a more comprehensive measure of the integrated impacts on LA coupling from several different factors.},
doi = {10.1029/2018JD028463},
journal = {Journal of Geophysical Research: Atmospheres},
number = 15,
volume = 123,
place = {United States},
year = {2018},
month = {7}
}