edu.ucar.opensky::articles:23072 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:22:26.352977 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d76h4mkr https://doi.org/10.17882/42182 https Related Dataset #1 Argo float data and metadata from Global Data Assembly Centre (Argo GDAC) https://doi.org/10.26300/mknw-3842 https Related Dataset #2 Source code and data for comparing Langmuir turbulence parameterization schemes https://doi.org/10.5065/D6HH6H41 https Related Dataset #3 JRA-55: Japanese 55-year Reanalysis, Daily 3-Hourly and 6-Hourly Data Comparing ocean surface boundary vertical mixing schemes including Langmuir turbulence 2019-11-15T00:00:00Z publication https://n2t.org/ark:/85065/d76h4mkr https://doi.org/10.1029/2019MS001810 Li, Q. author Reichl, B. G. author Fox-Kemper, B. author Adcroft, A. J. author Belcher, S. E. author Danabasoglu, Gokhan author Grant, A. L. M. author Griffies, S. M. author Hallberg, R. author Hara, T. author Harcourt, R. R. author Kukulka, T. author Large, William G. author McWilliams, J. C. author Pearson, B. author Sullivan, Peter P. author Van Roekel, L. author Wang, P. author Zheng, Z. author UCAR/NCAR - Library publisher Six recent Langmuir turbulence parameterization schemes and five traditional schemes are implemented in a common single-column modeling framework and consistently compared. These schemes are tested in scenarios versus matched large eddy simulations, across the globe with realistic forcing (JRA55-do, WAVEWATCH-III simulated waves) and initial conditions (Argo), and under realistic conditions as observed at ocean moorings. Traditional non-Langmuir schemes systematically underpredict large eddy simulation vertical mixing under weak convective forcing, while Langmuir schemes vary in accuracy. Under global, realistic forcing Langmuir schemes produce 6% (-1% to 14% for 90% confidence) or 5.2 m (-0.2 m to 17.4 m for 90% confidence) deeper monthly mean mixed layer depths than their non-Langmuir counterparts, with the greatest differences in extratropical regions, especially the Southern Ocean in austral summer. Discrepancies among Langmuir schemes are large (15% in mixed layer depth standard deviation over the mean): largest under wave-driven turbulence with stabilizing buoyancy forcing, next largest under strongly wave-driven conditions with weak buoyancy forcing, and agreeing during strong convective forcing. Non-Langmuir schemes disagree with each other to a lesser extent, with a similar ordering. Langmuir discrepancies obscure a cross-scheme estimate of the Langmuir effect magnitude under realistic forcing, highlighting limited understanding and numerical deficiencies. Maps of the regions and seasons where the greatest discrepancies occur are provided to guide further studies and observations. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2019 Author(s). This work is licensed under a Creative Commons Attribution 4.0 International license. None eng geoscientificInformation