Total kinetic energy in four global eddying ocean circulation models and over 5000 current meter records

Robert B. Scott, Brian K. Arbic, Eric P. Chassignet, Andrew C. Coward, Mathew Maltrud, William J. Merryfield, Ashwanth Srinivasan, Anson Varghese

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39 Scopus citations

Abstract

We compare the total kinetic energy (TKE) in four global eddying ocean circulation simulations with a global dataset of over 5000, quality controlled, moored current meter records. At individual mooring sites, there was considerable scatter between models and observations that was greater than estimated statistical uncertainty. Averaging over all current meter records in various depth ranges, all four models had mean TKE within a factor of two of observations above 3500. m, and within a factor of three below 3500. m. With the exception of observations between 20 and 100. m, the models tended to straddle the observations. However, individual models had clear biases. The free running (no data assimilation) model biases were largest below 2000. m. Idealized simulations revealed that the parameterized bottom boundary layer tidal currents were not likely the source of the problem, but that reducing quadratic bottom drag coefficient may improve the fit with deep observations. Data assimilation clearly improved the model-observation comparison, especially below 2000. m, despite assimilated data existing mostly above this depth and only south of 47°N. Different diagnostics revealed different aspects of the comparison, though in general the models appeared to be in an eddying-regime with TKE that compared reasonably well with observations. © 2010 Elsevier Ltd.
Original languageEnglish (US)
Pages (from-to)157-169
Number of pages13
JournalOcean Modelling
Volume32
Issue number3-4
DOIs
StatePublished - Jan 2010
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We benefitted from conversations with Carl Wunsch. Two anonymous reviews helped improve the manuscript. We are grateful to Carl Wunsch for contributing generously to our CMA, and to the Buoy Group at Oregon State University for maintaining their Deep Water Archive (OSU DWA).R.B.S. thanks the National Oceanography Centre, Southampton (NOCS) for hosting an extended visit. The authors acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing High-Performance Computing (HPC) resources that have contributed to the research results reported within this paper, http://www.tacc.utexas.edu. R.B.S. was supported by National Science Foundation (NSF) grants OCE-0526412 and OCE-0851457, a grant from King Abdullah University of Science and Technology (KAUST), and NOCS. B.K.A. and A.V. were supported by NSF grant OCE-0623159 and a Jackson School of Geosciences Development Grant. M.M. was supported by the DOE Office of Science Climate Change Prediction Program. This is UTIG contribution #2182.This paper is dedicated to the memory of the great physical oceanographer and journal editor Peter Killworth.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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