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contributor authorMenemenlis, Dimitris
contributor authorFukumori, Ichiro
contributor authorLee, Tong
date accessioned2017-06-09T17:26:51Z
date available2017-06-09T17:26:51Z
date copyright2005/05/01
date issued2005
identifier issn0027-0644
identifier otherams-85459.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4228908
description abstractGreen's functions provide a simple yet effective method to test and to calibrate general circulation model (GCM) parameterizations, to study and to quantify model and data errors, to correct model biases and trends, and to blend estimates from different solutions and data products. The method is applied to an ocean GCM, resulting in substantial improvements of the solution relative to observations when compared to prior estimates: overall model bias and drift are reduced and there is a 10%?30% increase in explained variance. Within the context of this optimization, the following new estimates for commonly used ocean GCM parameters are obtained. Background vertical diffusivity is (15.1 ± 0.1) ? 10?6 m2?s?2. Background vertical viscosity is (18 ± 3) ? 10?6 m2?s?2. The critical bulk Richardson number, which sets boundary layer depth, is Ric = 0.354 ± 0.004. The threshold gradient Richardson number for shear instability vertical mixing is Ri0 = 0.699 ± 0.008. The estimated isopycnal diffusivity coefficient ranges from 550 to 1350 m2?s?2, with the largest values occurring at depth in regions of increased mesoscale eddy activity. Surprisingly, the estimated isopycnal diffusivity exhibits a 5%?35% decrease near the surface. Improved estimates of initial and boundary conditions are also obtained. The above estimates are the backbone of a quasi-operational, global-ocean circulation analysis system.
publisherAmerican Meteorological Society
titleUsing Green's Functions to Calibrate an Ocean General Circulation Model
typeJournal Paper
journal volume133
journal issue5
journal titleMonthly Weather Review
identifier doi10.1175/MWR2912.1
journal fristpage1224
journal lastpage1240
treeMonthly Weather Review:;2005:;volume( 133 ):;issue: 005
contenttypeFulltext


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