Using ARM Observations to Evaluate Climate Model Simulations of Land-Atmosphere Coupling on the U.S. Southern Great Plains
Abstract
Several independent measurements of warm-season soil moisture and surface atmospheric variables recorded at the ARM Southern Great Plains (SGP) research facility are used to estimate the terrestrial component of land-atmosphere coupling (LAC) strength and its regional uncertainty. The observations reveal substantial variation in coupling strength, as estimated from three soil moisture measurements at a single site, as well as across six other sites having varied soil and land cover types. The observational estimates then serve as references for evaluating SGP terrestrial coupling strength in the Community Atmospheric Model coupled to the Community Land Model. These coupled model components are operated in both a free-running mode and in a controlled configuration, where the atmospheric and land states are reinitialized daily, so that they do not drift very far from observations. Although the controlled simulation deviates less from the observed surface climate than its free-running counterpart, the terrestrial LAC in both configurations is much stronger and displays less spatial variability than the SGP observational estimates. Preliminary investigation of vegetation leaf area index (LAI) substituted for soil moisture suggests that the overly strong coupling between model soil moisture and surface atmospheric variables is associated with too much evaporation from bare ground and toomore »
- Authors:
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[1];
[1];
[1];
[1];
[1];
[2];
[3];
[4];
[2]
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- NASA Goddard Space Flight Center Hydrological Sciences Lab., Greenbelt, MD (United States)
- Argonne National Lab. (ANL), Lemont, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); Atmospheric Radiation Measurement (ARM) Program
- OSTI Identifier:
- 1418345
- Alternate Identifier(s):
- OSTI ID: 1408249; OSTI ID: 1476573
- Grant/Contract Number:
- AC02-06CH11357; AC52-07NA27344; AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Volume: 122; Journal Issue: 21; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; climate model simulation; climate simulation evaluation; land-atmosphere coupling
Citation Formats
Phillips, Thomas J., Klein, Stephen A., Ma, Hsi -Yen, Tang, Qi, Xie, Shaocheng, Williams, Ian N., Santanello, Joseph A., Cook, David R., and Torn, Margaret S. Using ARM Observations to Evaluate Climate Model Simulations of Land-Atmosphere Coupling on the U.S. Southern Great Plains. United States: N. p., 2017.
Web. doi:10.1002/2017JD027141.
Phillips, Thomas J., Klein, Stephen A., Ma, Hsi -Yen, Tang, Qi, Xie, Shaocheng, Williams, Ian N., Santanello, Joseph A., Cook, David R., & Torn, Margaret S. Using ARM Observations to Evaluate Climate Model Simulations of Land-Atmosphere Coupling on the U.S. Southern Great Plains. United States. https://doi.org/10.1002/2017JD027141
Phillips, Thomas J., Klein, Stephen A., Ma, Hsi -Yen, Tang, Qi, Xie, Shaocheng, Williams, Ian N., Santanello, Joseph A., Cook, David R., and Torn, Margaret S. Fri .
"Using ARM Observations to Evaluate Climate Model Simulations of Land-Atmosphere Coupling on the U.S. Southern Great Plains". United States. https://doi.org/10.1002/2017JD027141. https://www.osti.gov/servlets/purl/1418345.
@article{osti_1418345,
title = {Using ARM Observations to Evaluate Climate Model Simulations of Land-Atmosphere Coupling on the U.S. Southern Great Plains},
author = {Phillips, Thomas J. and Klein, Stephen A. and Ma, Hsi -Yen and Tang, Qi and Xie, Shaocheng and Williams, Ian N. and Santanello, Joseph A. and Cook, David R. and Torn, Margaret S.},
abstractNote = {Several independent measurements of warm-season soil moisture and surface atmospheric variables recorded at the ARM Southern Great Plains (SGP) research facility are used to estimate the terrestrial component of land-atmosphere coupling (LAC) strength and its regional uncertainty. The observations reveal substantial variation in coupling strength, as estimated from three soil moisture measurements at a single site, as well as across six other sites having varied soil and land cover types. The observational estimates then serve as references for evaluating SGP terrestrial coupling strength in the Community Atmospheric Model coupled to the Community Land Model. These coupled model components are operated in both a free-running mode and in a controlled configuration, where the atmospheric and land states are reinitialized daily, so that they do not drift very far from observations. Although the controlled simulation deviates less from the observed surface climate than its free-running counterpart, the terrestrial LAC in both configurations is much stronger and displays less spatial variability than the SGP observational estimates. Preliminary investigation of vegetation leaf area index (LAI) substituted for soil moisture suggests that the overly strong coupling between model soil moisture and surface atmospheric variables is associated with too much evaporation from bare ground and too little from the vegetation cover. These results imply that model surface characteristics such as LAI, as well as the physical parameterizations involved in the coupling of the land and atmospheric components, are likely to be important sources of the problematical LAC behaviors.},
doi = {10.1002/2017JD027141},
journal = {Journal of Geophysical Research: Atmospheres},
number = 21,
volume = 122,
place = {United States},
year = {Fri Oct 13 00:00:00 EDT 2017},
month = {Fri Oct 13 00:00:00 EDT 2017}
}
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Works referencing / citing this record:
Improved Spatiotemporal Representativeness and Bias Reduction of Satellite‐Based Evapotranspiration Retrievals via Use of In Situ Meteorology and Constrained Canopy Surface Resistance
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