The KPP boundary layer scheme: revisiting its formulation and benchmarking one-dimensional ocean simulations relative to LES
Luke P Van Roekel, Alistair J. Adcroft, Gokhan Danabasoglu, Stephen M., Griffies, Brian Kauffman, William Large, Michael Levy, Brandon Reichl, Todd, Ringler, Martin Schmidt

TL;DR
This study evaluates and benchmarks the K-profile parameterization (KPP) for ocean boundary layers against LES simulations, proposing improvements and highlighting areas for further research to enhance ocean modeling accuracy.
Contribution
The paper revisits KPP formulation, compares it with LES across regimes, and proposes modifications to improve its fidelity and applicability in ocean models.
Findings
KPP is consistent with LES in many regimes.
Modifications reduce resolution dependence of KPP parameters.
Non-local fluxes can exist without surface tracer flux.
Abstract
We evaluate the Community ocean Vertical Mixing (CVMix) project version of the K-profile parameterization (KPP). For this purpose, one-dimensional KPP simulations are compared across a suite of oceanographically relevant regimes against large eddy simulations (LES). The LES is forced with horizontally uniform boundary fluxes and has horizontally uniform initial conditions, allowing its horizontal average to be compared to one-dimensional KPP tests. We find the standard configuration of KPP consistent with LES across many forcing regimes, supporting the physical basis of KPP. Our evaluation motivates recommendations for "best practices" for using KPP within ocean circulation models, and identifies areas where further research is warranted. Further, our test suite can be used as a baseline for evaluation of a broad suite of boundary layer models. The original treatment of KPP recommends…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
