Total kinetic energy in four global eddying ocean circulation models and over 5000 current meter records
Total kinetic energy in four global eddying ocean circulation models and over 5000 current meter records
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.
157-169
Scott, Robert B.
f82756a5-f04c-41f1-a6c8-12574b9814cf
Arbic, Brian K.
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Chassignet, Eric P.
e0a61164-bca4-49b4-9a7c-4e48b80100ce
Coward, Andrew C.
53b78140-2e65-476a-b287-e8384a65224b
Maltrud, Mathew
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Merryfield, William J.
e74e497d-f223-450a-a1e7-76546fc2e2b3
Srinivasan, Ashwanth
92808d50-215a-432d-9900-5241c3037df1
Varghese, Anson
a736b115-fd2c-42cf-bdc9-03c98f5004ba
2010
Scott, Robert B.
f82756a5-f04c-41f1-a6c8-12574b9814cf
Arbic, Brian K.
297f49fc-6755-42f6-b6b2-6307bcd375a3
Chassignet, Eric P.
e0a61164-bca4-49b4-9a7c-4e48b80100ce
Coward, Andrew C.
53b78140-2e65-476a-b287-e8384a65224b
Maltrud, Mathew
027bf8f8-d9aa-448d-9830-f0693b9b988b
Merryfield, William J.
e74e497d-f223-450a-a1e7-76546fc2e2b3
Srinivasan, Ashwanth
92808d50-215a-432d-9900-5241c3037df1
Varghese, Anson
a736b115-fd2c-42cf-bdc9-03c98f5004ba
Scott, Robert B., Arbic, Brian K., Chassignet, Eric P., Coward, Andrew C., Maltrud, Mathew, Merryfield, William J., Srinivasan, Ashwanth and Varghese, Anson
(2010)
Total kinetic energy in four global eddying ocean circulation models and over 5000 current meter records.
Ocean Modelling, 32 (3-4), .
(doi:10.1016/j.ocemod.2010.01.005).
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.
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Published date: 2010
Organisations:
Marine Systems Modelling
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Local EPrints ID: 142589
URI: http://eprints.soton.ac.uk/id/eprint/142589
ISSN: 1463-5003
PURE UUID: a032d471-b674-4620-8947-fe6f39401917
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Date deposited: 01 Apr 2010 08:31
Last modified: 14 Mar 2024 00:40
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Author:
Robert B. Scott
Author:
Brian K. Arbic
Author:
Eric P. Chassignet
Author:
Andrew C. Coward
Author:
Mathew Maltrud
Author:
William J. Merryfield
Author:
Ashwanth Srinivasan
Author:
Anson Varghese
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