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Climate change Air - Sea interactions Internal climate variability
East Asian monsoon Climate Modeling Climate Chemistry interactions


 The MOM4 is a numerical ocean model based on the hydrostatic primitive equations.The MOM4 is configured with 50 vertical levels (22 levels of 10-m thickness in the top 220m), 1 ° longitude by 1° latitudinal spacing near the equator. The model has an explicit surface with freshwater fluxes exchanged between the atmosphere and ocean [S. Zhang et al. 2010].

 Parameterized physical processes include K-profile parameterization (KPP) vertical mixing,neutral physics, a spatially dependent anisotropic viscosity, and a shortwave radiative penetration depth that depends on a prescribed climatological ocean color. Insolation varies diurnally and the wind stress at the ocean surface is computed using the velocity of the wind relative to surface currents. An efficient time stepping scheme is employed [Griffies et al. 2005].


Figure 1. Schematic diagram of elements in the NCAR coupledocean-atmosphere general circulation climate model. [Gerald A Meehl, 1989]

The Pacific SST variability and the NINO SST index in late-1990s were changed result from the 1998/99 regime shift[Jo et al. 2014] , as well as the mean zonal SST difference signal changed in 1999 [Chung et al. 2013].


Figure 2. Standard deviations of the inter-annual SSTA averaged from September to the following February. [Chung et al, 2013]



Figure 3. Global of use the MOM.4 model. The inter-annual sea surface temperature anomalies during boreal winter over the periods of 1979-2009. In figure 2, NINO3.4 SSTA indexes area is latitudes from 5˚N to 5˚S and longitudes from 190˚E to 240˚E. Other indexes (observation data) are during same period time series and same area.



Figure 3. NINO3.4 SSTA indexes are used observation data and model result. Observations are SODA (violet),ERSST (green) and HadiSST (orange). MOM.4 results are used om3 core data (red)and ECMWF data (blue).


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