Eddy-resolving Simulation of CAS-LICOM3 for Phase 2 of the Ocean Model Intercomparison Project

Li, Yiwen; Liu, Hailong; Ding, Mengrong; Lin, Pengfei; Yu, Zhenzhen; Yu, Yongqiang; Meng, Yao; Li, Yunlong; Jian, Xiaodong; Jiang, Junguang; Chen, Kangjun; Yang, Qian; Wang, Yaqi; Zhao, Bowen; Wei, Jilin; Ma, Jinfeng; Zheng, Weipeng; Wang, Pengfei

doi:10.1007/s00376-020-0057-z

Cited by 30 publications

(24 citation statements)

References 43 publications

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“…IAP-LICOM is a global configuration of the LASG/IAP Climate system Ocean Model (LICOM) (Zhang and Liang, 1989;Liu et al, 2004Liu et al, , 2012Yu et al, 2018; e.g., Li et al, 2013;Bao et al, 2013) and of the CAS Earth System Model (CAS-ESM; Minghua Zhang, personal communication, 2019). Version 3 of LICOM (LICOM3) is coupled to CICE4 through the NCAR flux coupler 7 (Craig et al, 2012;Lin et al, 2016). The surface salinity is restored to the monthly PHC3.0 climatology over the entire domain with a salinity piston velocity of 50 m per 4 years (50 m per 30 d for the sea ice regions).…”

Section: Iap-licommentioning

confidence: 99%

Impact of horizontal resolution on global ocean–sea ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2)

et al. 2020

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Abstract. This paper presents global comparisons of fundamental global climate variables from a suite of four pairs of matched low- and high-resolution ocean and sea ice simulations that are obtained following the OMIP-2 protocol (Griffies et al., 2016) and integrated for one cycle (1958–2018) of the JRA55-do atmospheric state and runoff dataset (Tsujino et al., 2018). Our goal is to assess the robustness of climate-relevant improvements in ocean simulations (mean and variability) associated with moving from coarse (∼ 1∘) to eddy-resolving (∼ 0.1∘) horizontal resolutions. The models are diverse in their numerics and parameterizations, but each low-resolution and high-resolution pair of models is matched so as to isolate, to the extent possible, the effects of horizontal resolution. A variety of observational datasets are used to assess the fidelity of simulated temperature and salinity, sea surface height, kinetic energy, heat and volume transports, and sea ice distribution. This paper provides a crucial benchmark for future studies comparing and improving different schemes in any of the models used in this study or similar ones. The biases in the low-resolution simulations are familiar, and their gross features – position, strength, and variability of western boundary currents, equatorial currents, and the Antarctic Circumpolar Current – are significantly improved in the high-resolution models. However, despite the fact that the high-resolution models “resolve” most of these features, the improvements in temperature and salinity are inconsistent among the different model families, and some regions show increased bias over their low-resolution counterparts. Greatly enhanced horizontal resolution does not deliver unambiguous bias improvement in all regions for all models.

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Section: Iap-licommentioning

confidence: 99%

Impact of horizontal resolution on global ocean–sea ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2)

et al. 2020

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“…At present, the state‐of‐the‐art eddy‐resolving ocean general circulation models (OGCMs) for climate simulation are capable of reproducing the global distribution of eddy kinetic energy (EKE; e.g., Chassignet et al., 2020; Iovino et al., 2016; Kiss et al., 2020; Y. Li et al., 2020; Luecke et al., 2020; Maltrud & McClean, 2005; Masumoto et al., 2004; Rieck et al., 2015; Yu et al., 2012) and mesoscale eddy properties (e.g., Cipollone et al., 2017; Moreton et al., 2020; Petersen et al., 2013). Both the rich eddy activities in the Antarctic Circumpolar Current (ACC) and the western boundary currents (WBCs) and their extensions and the poor eddy activities in the remaining places can be captured by eddy‐resolving OGCMs (e.g., Chassignet et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Our analysis mainly relies on eddy‐resolving simulations from four global ocean–sea ice models participating in Ocean Model Intercomparison Project phase 2 (OMIP‐2). To test the influence of different atmospheric reanalysis data on the model performance, we also carry out two additional experiments using the State Key Laboratory of Numerical Modeling for Atmospheric Sciences, and Geophysical Fluid Dynamics/Institute of Atmospheric Physics (LASG/IAP) Climate system Ocean Model of the Chinese Academy of Science version 3 (IAP‐LICOM3; Y. Li et al., 2020; Lin et al., 2019; H. Liu et al., 2004, 2012; Yu et al., 2012). The spatial distribution of eddies is classified as eddy‐rich and eddy‐poor regions in order for us to trace the biases and to improve the performance of the eddy‐resolving ocean model in the future.…”

Section: Introductionmentioning

confidence: 99%

Overestimated Eddy Kinetic Energy in the Eddy‐Rich Regions Simulated by Eddy‐Resolving Global Ocean–Sea Ice Models

Ding

Liu

Lin

et al. 2022

Geophysical Research Letters

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The performance of eddy‐resolving global ocean–sea ice models in simulating mesoscale eddies is evaluated using six eddy‐resolving experiments forced by different atmospheric reanalysis products. Interestingly, eddy‐resolving ocean general circulation models (OGCMs) tend to simulate more (less) energetic eddy‐rich (eddy‐poor) regions with a smaller (larger) spatial extent than satellite observation, which finally shows that larger (smaller) mesoscale energy intensity (EI) is simulated in the eddy‐rich (eddy‐poor) regions. Quantitatively, there is an approximately 27%–60% overestimation of EI in the eddy‐rich regions, which are mainly located in the Kuroshio–Oyashio Extension, the Gulf Stream, and the Antarctic Circumpolar Currents regions, although the global mean EI is underestimated by 25%–45%. Apparently, the eddy kinetic energy in the eddy‐poor region is underestimated. Further analyses based on coherent mesoscale eddy properties show that the overestimation in the eddy‐rich regions is mainly attributed to mesoscale eddies’ intensity and is more prominent when mesoscale eddies are in their growth stage.

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“…2.1. Model description FGOALS-f3-H is a fully coupled climate system model, which includes the atmospheric component model-version 2.2 of the Finite-volume Atmospheric Model of IAP/LASG (FAMIL2.2) (He et al, 2019;Bao et al, 2020;Li et al, 2021); an ocean component model-version 3 of the LASG/IAP Climate system Ocean Model (LICOM3.0) (Li et al, 2020b); a land component model-version 4.0 of the Community Land Model (CLM4.0) (Lawrence et al, 2011); and a sea-ice component model-version 4 of the Community Ice Code (CICE4.0) (Hunke and Lipscomb, 2010). The coupler is version 7 of the coupled module (Craig et al, 2012) from the National Center for Atmospheric Research (NCAR).…”

Section: Model Experiments and Observation Datamentioning

confidence: 99%

CAS FGOALS-f3-H Dataset for the High-Resolution Model Intercomparison Project (HighResMIP) Tier 2

Bao

et al. 2022

Adv. Atmos. Sci.

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Following the High-Resolution Model Intercomparison Project (HighResMIP) Tier 2 protocol under the Coupled Model Intercomparison Project Phase 6 (CMIP6), three numerical experiments are conducted with the Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System Model, version f3-H (CAS FGOALS-f3-H), and a 101-year (1950–2050) global high-resolution simulation dataset is presented in this study. The basic configuration of the FGOALS-f3-H model and numerical experiments design are briefly described, and then the historical simulation is validated. Forced by observed radiative agents from 1950 to 2014, the coupled model essentially reproduces the observed long-term trends of temperature, precipitation, and sea ice extent, as well as the large-scale pattern of temperature and precipitation. With an approximate 0.25° horizontal resolution in the atmosphere and 0.1° in the ocean, the coupled models also simulate energetic western boundary currents and the Antarctic Circulation Current (ACC), reasonable characteristics of extreme precipitation, and realistic frontal scale air-sea interaction. The dataset and supporting detailed information have been published in the Earth System Grid Federation (ESGF, https://esgf-node.llnl.gov/projects/cmip6/).

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Eddy-resolving Simulation of CAS-LICOM3 for Phase 2 of the Ocean Model Intercomparison Project

Cited by 30 publications

References 43 publications

Impact of horizontal resolution on global ocean–sea ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2)

Impact of horizontal resolution on global ocean–sea ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2)

Overestimated Eddy Kinetic Energy in the Eddy‐Rich Regions Simulated by Eddy‐Resolving Global Ocean–Sea Ice Models

CAS FGOALS-f3-H Dataset for the High-Resolution Model Intercomparison Project (HighResMIP) Tier 2

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