The KPP Boundary Layer Scheme for the Ocean: Revisiting Its Formulation and Benchmarking One‐Dimensional Simulations Relative to LES
Abstract
Abstract We evaluate the Community ocean Vertical Mixing project version of the K‐profile parameterization (KPP) for modeling upper ocean turbulent mixing. For this purpose, one‐dimensional KPP simulations are compared across a suite of oceanographically relevant regimes against horizontally averaged large eddy simulations (LESs). We find the standard configuration of KPP consistent with LES across many forcing regimes, supporting its physical basis. Our evaluation also motivates recommendations for KPP best practices within ocean circulation models and identifies areas where further research is warranted. The original treatment of KPP recommends the matching of interior diffusivities and their gradients to the KPP‐predicted values computed in the ocean surface boundary layer (OSBL). However, we find that difficulties in representing derivatives of rapidly changing diffusivities near the base of the OSBL can lead to loss of simulation fidelity. To mitigate this difficulty, we propose and evaluate two computationally simpler approaches: (1) match to the internal predicted diffusivity alone and (2) set the KPP diffusivity to 0 at the OSBL base. We find the KPP entrainment buoyancy flux to be sensitive to vertical grid resolution and details of how to diagnose the KPP boundary layer depth. We modify the KPP turbulent shear velocity parameterization to reducemore »
- Authors:
-
- Fluid Dynamics and Solid Mechanics, Los Alamos National Laboratory Los Alamos NM USA
- NOAA/Geophysical Fluid Dynamics Laboratory and Princeton University Program in Atmospheric and Oceanic Sciences Princeton NJ USA
- Climate and Global Dynamics Laboratory National Center for Atmospheric Research Boulder CO USA
- Leibniz‐Institute for Baltic Sea Research Warnemünde Rostock Germany
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); National Center for Atmospheric Research (NCAR), Boulder, CO (United States); Princeton Univ., NJ (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF); Princeton Univ. (United States)
- OSTI Identifier:
- 1480901
- Alternate Identifier(s):
- OSTI ID: 1475346; OSTI ID: 1480902
- Report Number(s):
- LA-UR-16-26992
Journal ID: ISSN 1942-2466
- Grant/Contract Number:
- AC52-06NA25396; AC05-00OR22725; SC0012605
- Resource Type:
- Published Article
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 10 Journal Issue: 11; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; KPP; vertical mixing; ocean surface boundary layer; parameterization; ocean model
Citation Formats
Van Roekel, Luke, Adcroft, Alistair J., Danabasoglu, Gokhan, Griffies, Stephen M., Kauffman, Brian, Large, William, Levy, Michael, Reichl, Brandon G., Ringler, Todd, and Schmidt, Martin. The KPP Boundary Layer Scheme for the Ocean: Revisiting Its Formulation and Benchmarking One‐Dimensional Simulations Relative to LES. United States: N. p., 2018.
Web. doi:10.1029/2018MS001336.
Van Roekel, Luke, Adcroft, Alistair J., Danabasoglu, Gokhan, Griffies, Stephen M., Kauffman, Brian, Large, William, Levy, Michael, Reichl, Brandon G., Ringler, Todd, & Schmidt, Martin. The KPP Boundary Layer Scheme for the Ocean: Revisiting Its Formulation and Benchmarking One‐Dimensional Simulations Relative to LES. United States. https://doi.org/10.1029/2018MS001336
Van Roekel, Luke, Adcroft, Alistair J., Danabasoglu, Gokhan, Griffies, Stephen M., Kauffman, Brian, Large, William, Levy, Michael, Reichl, Brandon G., Ringler, Todd, and Schmidt, Martin. Mon .
"The KPP Boundary Layer Scheme for the Ocean: Revisiting Its Formulation and Benchmarking One‐Dimensional Simulations Relative to LES". United States. https://doi.org/10.1029/2018MS001336.
@article{osti_1480901,
title = {The KPP Boundary Layer Scheme for the Ocean: Revisiting Its Formulation and Benchmarking One‐Dimensional Simulations Relative to LES},
author = {Van Roekel, Luke and Adcroft, Alistair J. and Danabasoglu, Gokhan and Griffies, Stephen M. and Kauffman, Brian and Large, William and Levy, Michael and Reichl, Brandon G. and Ringler, Todd and Schmidt, Martin},
abstractNote = {Abstract We evaluate the Community ocean Vertical Mixing project version of the K‐profile parameterization (KPP) for modeling upper ocean turbulent mixing. For this purpose, one‐dimensional KPP simulations are compared across a suite of oceanographically relevant regimes against horizontally averaged large eddy simulations (LESs). We find the standard configuration of KPP consistent with LES across many forcing regimes, supporting its physical basis. Our evaluation also motivates recommendations for KPP best practices within ocean circulation models and identifies areas where further research is warranted. The original treatment of KPP recommends the matching of interior diffusivities and their gradients to the KPP‐predicted values computed in the ocean surface boundary layer (OSBL). However, we find that difficulties in representing derivatives of rapidly changing diffusivities near the base of the OSBL can lead to loss of simulation fidelity. To mitigate this difficulty, we propose and evaluate two computationally simpler approaches: (1) match to the internal predicted diffusivity alone and (2) set the KPP diffusivity to 0 at the OSBL base. We find the KPP entrainment buoyancy flux to be sensitive to vertical grid resolution and details of how to diagnose the KPP boundary layer depth. We modify the KPP turbulent shear velocity parameterization to reduce resolution dependence. Additionally, an examination of LES vertical turbulent scalar flux budgets shows that the KPP‐parameterized nonlocal tracer flux is incomplete due to the assumption that it solely redistributes the surface tracer flux. This result motivates further studies of the nonlocal flux parameterization.},
doi = {10.1029/2018MS001336},
journal = {Journal of Advances in Modeling Earth Systems},
number = 11,
volume = 10,
place = {United States},
year = {Mon Nov 05 00:00:00 EST 2018},
month = {Mon Nov 05 00:00:00 EST 2018}
}
https://doi.org/10.1029/2018MS001336
Web of Science
Figures / Tables:
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