LICOM Model Datasets for the CMIP6 Ocean Model Intercomparison Project

The datasets of two Ocean Model Intercomparison Project (OMIP) simulation experiments from the LASG/IAP Climate Ocean Model, version 3 (LICOM3), forced by two different sets of atmospheric surface data, are described in this paper. The experiment forced by CORE-II (Co-ordinated Ocean–Ice Reference Experiments, Phase II) data (1948–2009) is called OMIP1, and that forced by JRA55-do (surface dataset for driving ocean–sea-ice models based on Japanese 55-year atmospheric reanalysis) data (1958–2018) is called OMIP2. First, the improvement of LICOM from CMIP5 to CMIP6 and the configurations of the two experiments are described. Second, the basic performances of the two experiments are validated using the climatological-mean and interannual time scales from observation. We find that the mean states, interannual variabilities, and long-term linear trends can be reproduced well by the two experiments. The differences between the two datasets are also discussed. Finally, the usage of these data is described. These datasets are helpful toward understanding the origin system bias of the fully coupled model.

[1]  P. Gent,et al.  Isopycnal mixing in ocean circulation models , 1990 .

[2]  JacobRobert,et al.  A new flexible coupler for earth system modeling developed for CCSM4 and CESM1 , 2012 .

[3]  Liang Xinzhong,et al.  A numerical world ocean general circulation model , 1989 .

[4]  V. Canuto,et al.  Ocean Turbulence. Part II: Vertical Diffusivities of Momentum, Heat, Salt, Mass, and Passive Scalars , 2002 .

[5]  Mariana Vertenstein,et al.  A new flexible coupler for earth system modeling developed for CCSM4 and CESM1 , 2012, Int. J. High Perform. Comput. Appl..

[6]  Pengfei Lin,et al.  The baseline evaluation of LASG/IAP climate system ocean model (LICOM) version 2 , 2012, Acta Meteorologica Sinica.

[7]  Patrick Heimbach,et al.  North Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part I: Mean states , 2014 .

[8]  Stephen G. Yeager,et al.  Diurnal to decadal global forcing for ocean and sea-ice models: The data sets and flux climatologies , 2004 .

[9]  Timothy P. Boyer,et al.  World ocean atlas 2001 : objective analyses, data statistics, and figures : CD-ROM documentation , 2002 .

[10]  P. Lin,et al.  Long-term stability and oceanic mean state simulated by the coupled model FGOALS-s2 , 2013, Advances in Atmospheric Sciences.

[11]  Patrick Heimbach,et al.  Estimating Eddy Stresses by Fitting Dynamics to Observations Using a Residual-Mean Ocean Circulation Model and Its Adjoint , 2005 .

[12]  B. Samuels,et al.  North Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part II: Inter-annual to decadal variability , 2016 .

[13]  Yangchun Li,et al.  The Flexible Global Ocean-Atmosphere-Land system model, Spectral Version 2: FGOALS-s2 , 2013, Advances in Atmospheric Sciences.

[14]  Yu Rucong,et al.  A two—step shape—preserving advection scheme , 1994 .

[15]  William E. Johns,et al.  Temporal Variability of the Atlantic Meridional Overturning Circulation at 26.5°N , 2007, Science.

[16]  Ross J. Murray,et al.  Explicit Generation of Orthogonal Grids for Ocean Models , 1996 .

[17]  Bin Wang,et al.  The flexible global ocean-atmosphere-land system model, Grid-point Version 2: FGOALS-g2 , 2013, Advances in Atmospheric Sciences.

[18]  L. St. Laurent,et al.  Estimating tidally driven mixing in the deep ocean , 2002 .

[19]  M. Redi.  Oceanic Isopycnal Mixing by Coordinate Rotation , 1982 .

[20]  Thomas M. Smith,et al.  Extended Reconstructed Sea Surface Temperature, Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons , 2017 .

[21]  S. Dong,et al.  Global Meridional Overturning Circulation Inferred From a Data‐Constrained Ocean & Sea‐Ice Model , 2019, Geophysical Research Letters.

[22]  G. Danabasoglu,et al.  JRA-55 based surface dataset for driving ocean–sea-ice models (JRA55-do) , 2018, Ocean Modelling.

[23]  Minghua Zhang,et al.  A coupled experiment with LICOM2 as the ocean component of CESM1 , 2016, Journal of Meteorological Research.

[24]  Gurvan Madec,et al.  A global ocean mesh to overcome the North Pole singularity , 1996 .

[25]  P. Lin,et al.  Oceanic climatology in the coupled model FGOALS-g2: Improvements and biases , 2013, Advances in Atmospheric Sciences.

[26]  J. Ohlmann,et al.  Ocean Radiant Heating in Climate Models , 2003 .

[27]  Michael Steele,et al.  PHC: A Global Ocean Hydrography with a High-Quality Arctic Ocean , 2001 .

[28]  M. S. Dubovikov,et al.  Ocean Turbulence I: One-Point Closure Model Momentum and Heat Vertical Diffusivities , 2001 .

[29]  Frank O. Bryan,et al.  Coordinated Ocean-ice Reference Experiments (COREs) , 2009 .

[30]  K. Speer,et al.  Global Ocean Meridional Overturning , 2007 .

[31]  宇如聪.  A Two-Step Shape-Preserving Advection Scheme , 1994 .