Abstract
In this study, a quasi-global (excluding the Arctic Ocean) eddy-resolving ocean general circulation model (OGCM) is established based on the latest version of the LASG/IAP Climate system Ocean Model (LICOM2.0). The horizontal resolution and vertical resolution are increased to 1/10° and 55 layers, respectively. Forced by the surface fluxes from the reanalysis and observed data, the model has been integrated for approximately 20 model years (20 a). During the last 8 a, the model is driven by daily mean wind stresses from QuikSCAT and heat fluxes from reanalysis data from 2000 to 2007. The basic performance of the OGCM is analyzed using the last 8 a simulation output. Compared with the simulation of the coarse-resolution OGCM, the eddy-resolving OGCM not only better simulates the spatial-temporal features of mesoscale eddies and the paths and positions of western boundary currents but also reproduces the large meander of the Kuroshio Current and its interannual variability. Another aspect, namely, the complex structures of equatorial Pacific currents and currents in the coastal ocean of China, are better captured due to the increased horizontal and vertical resolution.
Highlights
Because the sea ice model is not included in LICOM2.0, the sea ice concentration is used from the Hadley dataset [20] to calculate the surface fluxes
The basic features of large-scale ocean circulations are well simulated in the coarse-resolution LICOM2.0 [13]
Based on the global oceanic general circulation model LICOM2.0, after improving the physical parameterization schemes, dynamic framework, and paralleling algorithms, we establish a quasi-global eddy-resolving model with a 1/10° resolution and 55 layers in the vertical; the model was integrated for 20 model years
Summary
Based on the LICOM2.0 [13], we build a quasi-global eddy-resolving eddy OGCM. The updates and improvements include the following. (1) The horizontal grids are increased to 1/10°. (2) The vertical layers are increased to 55 layers. The eddy-resolving OGCM is forced by the climatologically monthly wind stress and heat fluxes and is initialized by the observed temperature and salinity, which is the spin-up integration. The simulated sea surface salinity (SSS) is restored to the climatologically monthly SSS from Levitus data [17]. Because the northern open boundary is set at 66°N, the simulated temperature and salinity are restored to the climatologically monthly temperature and salinity from the Levitus data [17], while the solid wall boundary condition is used for velocity. Because the sea ice model is not included in LICOM2.0, the sea ice concentration is used from the Hadley dataset [20] to calculate the surface fluxes. The last 8-year simulations are used for analysis in the present study
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