Uncertainty Quantification of Ocean Parameterizations: Application to the K‐Profile‐Parameterization for Penetrative Convection
Name
2020MS002108.pdf
Description
Published version
Size
4.78 MB
Format
Unknown
Checksum (MD5)
e7702ac9a61caa31b413e65712709a0a
Author(s)
Souza, A. N.
Wagner, G. L.
Ramadhan, A.
Allen, B.
Churavy, V.
Schloss, J.
Campin, J.
Hill, C.
Edelman, A.
Marshall, J.
Date Issued
November 2020
Journal
Journal of Advances in Modelling Earth Systems
Publisher
American Geophysical Union (AGU)
Version
Final published version
Abstract
©2020. The Authors. Parameterizations of unresolved turbulent processes often compromise the fidelity of large-scale ocean models. In this work, we argue for a Bayesian approach to the refinement and evaluation of turbulence parameterizations. Using an ensemble of large eddy simulations of turbulent penetrative convection in the surface boundary layer, we demonstrate the method by estimating the uncertainty of parameters in the convective limit of the popular “K-Profile Parameterization.” We uncover structural deficiencies and propose an alternative scaling that overcomes them.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1029/2020ms002108
