Ocean Surface Flux Algorithm Effects on Earth System Model Energy and Water Cycles
AffiliationDepartment of Hydrology and Atmospheric Sciences, University of Arizona
Keywordsboundary layer turbulence
earth system modeling
upper ocean processes
MetadataShow full item record
PublisherFrontiers Media S.A.
CitationReeves Eyre, J. E. J., Zeng, X., & Zhang, K. (2021). Ocean Surface Flux Algorithm Effects on Earth System Model Energy and Water Cycles. Frontiers in Marine Science, 8.
JournalFrontiers in Marine Science
RightsCopyright © 2021 Reeves Eyre, Zeng and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractEarth 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. © Copyright © 2021 Reeves Eyre, Zeng and Zhang.
NoteOpen access journal
VersionFinal published version
Except where otherwise noted, this item's license is described as Copyright © 2021 Reeves Eyre, Zeng and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).