Response of an eddy-permitting ocean model to the assimilation of sparse in situ data
Response of an eddy-permitting ocean model to the assimilation of sparse in situ data
[1] The response of an eddy-permitting ocean model to changes introduced by data assimilation is studied when the available in situ data are sparse in both space and time ( typical for the majority of the ocean). Temperature and salinity (T&S) profiles from the WOCE upper ocean thermal data set were assimilated into a primitive equation ocean model over the North Atlantic, using a simple nudging scheme with a time window of about 2 days and a horizontal spatial radius of about 1degrees. When data are sparse the model returns to its unassimilated behavior, locally "forgetting'' or rejecting the assimilation, on timescales determined by the local advection and diffusion. Increasing the spatial weighting radius effectively reduces both processes and hence lengthens the model restoring time (and with it, the impact of assimilation). Increasing the nudging factor enhances the assimilation effect but has little effect on the model restoring time
art. 03111
Li, J.G.
6149c435-ef27-4d24-ae25-c2aed0507dc6
Killworth, P.D.
9fc0c4a0-e1fb-4073-8997-436b59c74bf2
Smeed, D.A.
79eece5a-c870-47f9-bba0-0a4ef0369490
2003
Li, J.G.
6149c435-ef27-4d24-ae25-c2aed0507dc6
Killworth, P.D.
9fc0c4a0-e1fb-4073-8997-436b59c74bf2
Smeed, D.A.
79eece5a-c870-47f9-bba0-0a4ef0369490
Li, J.G., Killworth, P.D. and Smeed, D.A.
(2003)
Response of an eddy-permitting ocean model to the assimilation of sparse in situ data.
Journal of Geophysical Research, 108 (C4), .
(doi:10.1029/2001JC001033).
Abstract
[1] The response of an eddy-permitting ocean model to changes introduced by data assimilation is studied when the available in situ data are sparse in both space and time ( typical for the majority of the ocean). Temperature and salinity (T&S) profiles from the WOCE upper ocean thermal data set were assimilated into a primitive equation ocean model over the North Atlantic, using a simple nudging scheme with a time window of about 2 days and a horizontal spatial radius of about 1degrees. When data are sparse the model returns to its unassimilated behavior, locally "forgetting'' or rejecting the assimilation, on timescales determined by the local advection and diffusion. Increasing the spatial weighting radius effectively reduces both processes and hence lengthens the model restoring time (and with it, the impact of assimilation). Increasing the nudging factor enhances the assimilation effect but has little effect on the model restoring time
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Published date: 2003
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Local EPrints ID: 1330
URI: http://eprints.soton.ac.uk/id/eprint/1330
ISSN: 0148-0227
PURE UUID: 2357f2ce-1155-4bee-8562-1d367047927d
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Date deposited: 16 Apr 2004
Last modified: 15 Mar 2024 04:43
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Author:
J.G. Li
Author:
P.D. Killworth
Author:
D.A. Smeed
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