LICOM Model Datasets for the CMIP6 Ocean Model Intercomparison Project

Abstract

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 ) 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 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.Citation: Lin, P. F., and Coauthors, 2020: LICOM model datasets for the CMIP6 Ocean Model Intercomparison Project. Adv. Atmos. Sci., 37(3), 239−249, https://doi.org/10.1007/s00376-019-9208-5.Article Highlights:• The OMIP1 and OMIP2 simulation datasets produced by LICOM3 are described. • The mean states, interannual variabilities, and long-term linear trends can be reproduced well by the two experiments.

CAS FGOALS-g3 Model Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP)

“…The LASG/IAP Climate Ocean Model (LICOM3) has been updated from LICOM2 (Liu et al, 2012;Lin et al, 2016). LICOM3 has performed the OMIP simulations and a detailed description of the results is given by Lin et al (2020).…”

Datasets for the CMIP6 Scenario Model Intercomparison Project (ScenarioMIP) Simulations with the Coupled Model CAS FGOALS-f3-L

“…The climate model CAS FGOALS-f3-L includes four individual components: an atmospheric component, version 2.2 of the Finite-volume Atmospheric Model (FAMIL) (Zhou et al, 2015; Bao et al, 2019; Li et al, 2019), which has a horizontal resolution of 1° (lat) by 1.25° (lon); an oceanic component, version 3 of the LASG/ IAP Climate Ocean Model (LICOM3) (Lin et al, 2020), in which the horizontal resolution is also proximately equal to 1°; a land component, version 4.0 of the Community Land Model (CLM4) (Oleson et al, 2010), which has a horizontal resolution of 0.9° (lat) by 1.25° (lon); and a sea-ice component, version 4 of the Los Alamos Sea Ice Model (CICE4) (Hunke and Lipscomb, 2010), in which the horizontal resolution is also proximately equal to 1°. A flux coupler module, version 7 of NCAR's coupler (Craig, 2014), is used to connect these four components.…”

FGOALS-g3 Model Datasets for CMIP6 Flux-Anomaly-Forced Model Intercomparison Project

“…2.1. Introduction to the model FGOALS-g3 has four component models: the Grid-Point Atmospheric Model of LASG-IAP, version 3 (GAMIL3) for the atmosphere (Li et al, 2013), the LASG-IAP Climate System Ocean Model, version 3 (LICOM3) for the ocean (Lin et al, 2016;Yu et al, 2018;Lin et al, 2020), the Los Alamos sea ice model, version 4 (CICE4) for the sea ice, and the CAS Land Surface Model (CAS-LSM) for the land (Xie et al, 2018). All the components are coupled with version 7 of the flux coupler developed at the National Center for Atmospheric Research (Craig et al, 2005).…”

“…The ocean component, LICOM3, has also been extensively improved (Liu et al, 2012;Lin et al, 2016Lin et al, , 2020Yu et al, 2018;Lin et al, 2020). Its dynamic core with a latitude-longitude grid structure is replaced by arbitrary orthogonal curvilinear coordinates (Yu et al, 2018).…”