Differences in Eddy‐Correlation and Energy‐Balance Surface Turbulent Heat Flux Measurements and Their Impacts on the Large‐Scale Forcing Fields at the ARM SGP Site
Abstract
Differences in the surface turbulent heat fluxes measured by the eddy correlation flux measurement system (ECOR) and the energy balance Bowen ratio system (EBBR) are examined using 12 years of continuous measurements collected at multiple stations in the Atmospheric Radiation Measurement (ARM) program Southern Great Plains (SGP) surface observational network. The flux measurements are found strongly impacted by their upwind surface types, which vary with wind direction. For collocated ECOR and EBBR at the central facility, the fluxes measured by ECOR and EBBR agree much better when their upwind fetches are over the same surface type. Among all stations at SGP, ECOR measures more over winter wheat fields while EBBR measures mostly over grassland. The different seasonality of growth cycles between winter wheat and grass causes systematic differences in measured fluxes between ECOR and EBBR. These differences impact the derived large-scale forcing as illustrated in a constrained variational analysis, in which the state variables have to be adjusted according to different fluxes to keep the column-integrated energy and moisture budgets in balance. This impact prevails in summertime on nonprecipitating days. A single-column model test shows that model-simulated boundary layer development is impacted by using the large-scale forcing data of differentmore »
- Authors:
-
[1];
[1];
[2];
[1];
[1];
[3];
[3]
- Lawrence Livermore National Laboratory Livermore CA USA
- School of Marine and Atmospheric SciencesStony Brook University Stony Brook NY USA
- Argonne National Laboratory Argonne IL USA
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23), Atmospheric Radiation Measurement (ARM); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23). Atmospheric Radiation Measurement (ARM) Program; National Science Foundation (NSF)
- OSTI Identifier:
- 1507205
- Alternate Identifier(s):
- OSTI ID: 1501873; OSTI ID: 1507206; OSTI ID: 1510046; OSTI ID: 1513156
- Report Number(s):
- LLNL-JRNL-758453
Journal ID: ISSN 2169-897X
- Grant/Contract Number:
- AC02‐06CH11357; AC52‐07NA27344; AC02-06CH11357; AC52-07NA27344
- Resource Type:
- Published Article
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Name: Journal of Geophysical Research: Atmospheres Journal Volume: 124 Journal Issue: 6; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; eddy correlation; land‐atmosphere interaction; large‐scale forcing; surface energy balance; surface vegetation type
Citation Formats
Tang, Shuaiqi, Xie, Shaocheng, Zhang, Minghua, Tang, Qi, Zhang, Yunyan, Klein, Stephen A., Cook, David R., and Sullivan, Ryan C. Differences in Eddy‐Correlation and Energy‐Balance Surface Turbulent Heat Flux Measurements and Their Impacts on the Large‐Scale Forcing Fields at the ARM SGP Site. United States: N. p., 2019.
Web. doi:10.1029/2018JD029689.
Tang, Shuaiqi, Xie, Shaocheng, Zhang, Minghua, Tang, Qi, Zhang, Yunyan, Klein, Stephen A., Cook, David R., & Sullivan, Ryan C. Differences in Eddy‐Correlation and Energy‐Balance Surface Turbulent Heat Flux Measurements and Their Impacts on the Large‐Scale Forcing Fields at the ARM SGP Site. United States. https://doi.org/10.1029/2018JD029689
Tang, Shuaiqi, Xie, Shaocheng, Zhang, Minghua, Tang, Qi, Zhang, Yunyan, Klein, Stephen A., Cook, David R., and Sullivan, Ryan C. Fri .
"Differences in Eddy‐Correlation and Energy‐Balance Surface Turbulent Heat Flux Measurements and Their Impacts on the Large‐Scale Forcing Fields at the ARM SGP Site". United States. https://doi.org/10.1029/2018JD029689.
@article{osti_1507205,
title = {Differences in Eddy‐Correlation and Energy‐Balance Surface Turbulent Heat Flux Measurements and Their Impacts on the Large‐Scale Forcing Fields at the ARM SGP Site},
author = {Tang, Shuaiqi and Xie, Shaocheng and Zhang, Minghua and Tang, Qi and Zhang, Yunyan and Klein, Stephen A. and Cook, David R. and Sullivan, Ryan C.},
abstractNote = {Differences in the surface turbulent heat fluxes measured by the eddy correlation flux measurement system (ECOR) and the energy balance Bowen ratio system (EBBR) are examined using 12 years of continuous measurements collected at multiple stations in the Atmospheric Radiation Measurement (ARM) program Southern Great Plains (SGP) surface observational network. The flux measurements are found strongly impacted by their upwind surface types, which vary with wind direction. For collocated ECOR and EBBR at the central facility, the fluxes measured by ECOR and EBBR agree much better when their upwind fetches are over the same surface type. Among all stations at SGP, ECOR measures more over winter wheat fields while EBBR measures mostly over grassland. The different seasonality of growth cycles between winter wheat and grass causes systematic differences in measured fluxes between ECOR and EBBR. These differences impact the derived large-scale forcing as illustrated in a constrained variational analysis, in which the state variables have to be adjusted according to different fluxes to keep the column-integrated energy and moisture budgets in balance. This impact prevails in summertime on nonprecipitating days. A single-column model test shows that model-simulated boundary layer development is impacted by using the large-scale forcing data of different surface turbulent fluxes. It is recommended to include both ECOR and EBBR measurements to better represent the domain-mean turbulent fluxes and atmospheric budgets of energy and water vapor at the SGP.},
doi = {10.1029/2018JD029689},
journal = {Journal of Geophysical Research: Atmospheres},
number = 6,
volume = 124,
place = {United States},
year = {Fri Mar 15 00:00:00 EDT 2019},
month = {Fri Mar 15 00:00:00 EDT 2019}
}
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