TY - JOUR
T1 - Ocean Surface Flux Algorithm Effects on Earth System Model Energy and Water Cycles
AU - Reeves Eyre, J. E.Jack
AU - Zeng, Xubin
AU - Zhang, Kai
N1 - Funding Information:
We thank Thomas Tonazzio and Chris Fairall for providing the COARE algorithm code. We thank Luke Van Roekel and Po-Lun Ma for assistance in setting up the model runs. Michael Brunke, Joellen Russell, and Chris Castro provided much useful advice about details of the flux algorithms and interpretation of results. We thank the editor and reviewers for their constructive comments. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231. We gratefully acknowledge the computing resources provided on Blues, a high-performance computing cluster operated by the Laboratory Computing Resource Center at Argonne National Laboratory. Funding. This research was supported by the U.S. Department of Energy (DE-SC0016533, DE-AC52-07NA27344/B639244). KZ was supported by the Office of Science of the U.S. Department of Energy as part of the Earth System Modeling Program. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830.
Funding Information:
This research was supported by the U.S. Department of Energy (DE-SC0016533, DE-AC52-07NA27344/B639244). KZ was supported by the Office of Science of the U.S. Department of Energy as part of the Earth System Modeling Program. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830.
Funding Information:
We thank Thomas Tonazzio and Chris Fairall for providing the COARE algorithm code. We thank Luke Van Roekel and Po-Lun Ma for assistance in setting up the model runs. Michael Brunke, Joellen Russell, and Chris Castro provided much useful advice about details of the flux algorithms and interpretation of results. We thank the editor and reviewers for their constructive comments. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231. We gratefully acknowledge the computing resources provided on Blues, a high-performance computing cluster operated by the Laboratory Computing Resource Center at Argonne National Laboratory.
Publisher Copyright:
© Copyright © 2021 Reeves Eyre, Zeng and Zhang.
PY - 2021/5/4
Y1 - 2021/5/4
N2 - Earth system models parameterize ocean surface fluxes of heat, moisture, and momentum with empirical bulk flux algorithms, which introduce biases and uncertainties into simulations. We investigate the atmosphere and ocean model sensitivity to algorithm choice in the Energy Exascale Earth System Model (E3SM). Flux differences between algorithms are larger in atmosphere simulations (where wind speeds can vary) than ocean simulations (where wind speeds are fixed by forcing data). Surface flux changes lead to global scale changes in the energy and water cycles, notably including ocean heat uptake and global mean precipitation rates. Compared to the control algorithm, both COARE and University of Arizona (UA) algorithms reduce global mean precipitation and top of atmosphere radiative biases. Further, UA may slightly reduce biases in ocean meridional heat transport. We speculate that changes seen here, especially in the ocean, could be even larger in coupled simulations.
AB - Earth system models parameterize ocean surface fluxes of heat, moisture, and momentum with empirical bulk flux algorithms, which introduce biases and uncertainties into simulations. We investigate the atmosphere and ocean model sensitivity to algorithm choice in the Energy Exascale Earth System Model (E3SM). Flux differences between algorithms are larger in atmosphere simulations (where wind speeds can vary) than ocean simulations (where wind speeds are fixed by forcing data). Surface flux changes lead to global scale changes in the energy and water cycles, notably including ocean heat uptake and global mean precipitation rates. Compared to the control algorithm, both COARE and University of Arizona (UA) algorithms reduce global mean precipitation and top of atmosphere radiative biases. Further, UA may slightly reduce biases in ocean meridional heat transport. We speculate that changes seen here, especially in the ocean, could be even larger in coupled simulations.
KW - boundary layer turbulence
KW - climate dynamics
KW - earth system modeling
KW - ocean-atmosphere interactions
KW - upper ocean processes
UR - http://www.scopus.com/inward/record.url?scp=85105982599&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105982599&partnerID=8YFLogxK
U2 - 10.3389/fmars.2021.642804
DO - 10.3389/fmars.2021.642804
M3 - Article
AN - SCOPUS:85105982599
VL - 8
JO - Frontiers in Marine Science
JF - Frontiers in Marine Science
SN - 2296-7745
M1 - 642804
ER -