Abstract
A 61-year (1958–2018) global eddy-resolving dataset for phase 2 of the Ocean Model Intercomparison Project has been produced by the version 3 of Chinese Academy of Science, the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics/Institute of Atmospheric Physics (LASG/IAP) Climate system Ocean Model (CAS-LICOM3). The monthly and a part of the surface daily data in this study can be accessed on the Earth System Grid Federation (ESGF) node. Besides the details of the model and experiments, the evolutions and spatial patterns of large-scale and mesoscale features are also presented. The mesoscale features are reproduced well in the high-resolution simulation, as the mesoscale activities can contribute up to 50% of the total SST variability in eddy-rich regions. Also, the large-scale circulations are remarkably improved compared with the low-resolution simulation, such as the climatological annual mean SST (the RMSE is reduced from 0.59°C to 0.47°C, globally) and the evolution of Atlantic Meridional Overturning Circulation. The preliminary evaluation also indicates that there are systematic biases in the salinity, the separation location of the western boundary currents, and the magnitude of eddy kinetic energy. All these biases are worthy of further investigation.
摘要
本文根据第二阶段海洋模式比较计划(OMIP-2)的试验设计标准,采用第3版本的中国科学院全球涡分辨率海洋环流模式(CAS-LICOM3)连续模拟了1958年至2018年高分辨率(水平分辨率约10km)全球海洋状态,包括温度、盐度以及三维海洋环流。模拟数据采用每天输出,输出结果以数据集方式在地球系统分布式联盟(ESGF)数据节点上发布共享。发布的数据包含25公里的月平均和逐日数据,以及部分10公里的逐日数据。在该文中,首先介绍了该数据集相关信息,包括CAS-LICOM3模式、格点、试验设计、强迫场和数据使用方式等。紧接着利用观测和再分析资料对数据集中的时间演变、海洋大尺度和中尺度空间特征进行了检验评估。检验表明:海洋中尺度结构模拟较好,中尺度结构对海表面温度SST变化的贡献在中尺度活动区可以达到50%,与观测相当。涡分辨率模拟的大尺度特征相对低分辨率也有明显改进,表现为气候态SST偏差明显减小。而且,模拟的SST趋势和北大西洋经圈翻转环流演变也明显改进。同时,分析也指出了此模拟数据集对西边界流分离的纬度和涡动动能的强度还存在偏差,值得进一步研究。此数据集类比于大气模式比较计划AMIP的数据集,且和历史观测资料在时间上可以进行逐一对比,这将有助于深入研究过去60年全球海洋在不同时间尺度上(从季节内、季节,年际、年代际)以及不同空间尺度(中尺度如涡旋、锋面以及大尺度如西边界流,海盆尺度变化,南极绕流,热盐环流)的变化。
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Data availability statement
The data that support the findings of this study are available from https://esgf-node-llnl.gov/projects/cmip6/. The citation is “CAS FGOALS-f3-H model output prepared for CMIP6 OMIP version2. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.13283”.
References
Antonov, J. I., and Coauthors, 2010: World Ocean Atlas 2009, Volume 2: Salinity. U.S. Government Printing Office.
Antonov, J. I., R. A. Locarnini, T. P. Boyer, A. V. Mishonov, and H. E. Garcia, 2006: World Ocean Atlas 2005, Volume 2: Salinity. U.S. Government Printing Office.
Artana, C., and Coauthors, 2019: Twenty-five years of Mercator ocean reanalysis GLORYS12 at Drake Passage: Velocity assessment and total volume transport. Advances in Space Research, https://doi.org/10.1016/j.asr.2019.11.033.
Banzon, V., T. M. Smith, T. M. Chin, C. Y. Liu, and W. Hankins, 2016: A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies. Earth System Science Data, 8, 165–176, https://doi.org/10.5194/essd-8-165-2016.
Bryan, F. O., R. Tomas, J. M. Dennis, D. B. Chelton, N. G. Loeb, and J. L. McClean, 2010: Frontal scale air-sea interaction in high-resolution coupled climate models. Journal of Climate, 23(23), 6277–6291, https://doi.org/10.1175/2010JCLI3665.1.
Canuto, V. M., A. Howard, Y. Cheng, and M. S. Dubovikov, 2001: Ocean turbulence. Part I: One-point closure model—Momentum and heat vertical diffusivities. J. Phys. Oceanogr., 31, 1413–1426, https://doi.org/10.1155/11200-0485(2001)031<1413:OTPIOP>2.0.CO;2.
Canuto, V. M., A. Howard, Y. Cheng, and M. S. Dubovikov, 2002: Ocean turbulence. Part II: Vertical diffusivities of momentum, heat, salt, mass, and passive scalars. J. Phys. Oceanogr., 32, 240–264, https://doi.org/10.1175/1520-0485(2002)032<0240:OTPIVD>2.0.CO;2.
Chassignet, E. P., and D. P. Marshall, 2008: Gulf Stream separation in numerical ocean models. Ocean Modeling in an Eddying Regime, M. W. Hecht and H. Hasumi, Eds., Geophys. Monogr., Vol. 177, Amer. Geophys. Union, 39–62, https://doi.org/10.1029/177GM05.
Chassignet, E. P., and X. B. Xu, 2017: Impact of horizontal resolution (1/12° to 1/50°) on gulf stream separation, penetration, and variability. J. Phys. Oceanogr., 47, 1999–2021, https://doi.org/10.1175/JPO-D-17-003L1.
Chassignet, E. P., and Coauthors, 2020: 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). Geoscientific Model Development, https://doi.org/10.5194/gmd-2019-374.
Cheng, L.-J., C., J. Zhu, and J. Abraham, 2015: Global upper ocean heat content estimation: Recent progress and the remaining challenges. Atmos. Ocean. Sci. Lett., 8, 333–338, https://doi.org/10.3878/AOSL20150031.
Cunningham, W. A., P. D. Zelazo, D. J. Packer, and J. J. Van Bavel, 2007: The iterative reprocessing model: A multilevel framework for attitudes and evaluation. Social Cognition, 25, 736–760, https://doi.org/10.1521/soco.2007.25.5.736.
Ferreira, D., J. Marshall, and P. Heimbach, 2005: Estimating eddy stresses by fitting dynamics to observations using a residual-mean ocean circulation model and its adjoint. J. Phys. Oceanogr., 35, 1891–1910, https://doi.org/10.1175/JPO2785.1.
Good, S. A., M. J. Martin, and N. A. Rayner, 2013: EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates. J. Geophys. Res.: Oceans, 118, 6704–6716, https://doi.org/10.1002/2013JC009067.
Griffies, S. M., and Coauthors, 2016: OMIP contribution to CMIP6: Experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project. Geoscientific Model Development, 9, 3231–3296, https://doi.org/10.5194/gmd-9-3231-2016.
Huang, B. Y., and Coauthors, 2017: Extended Reconstructed Sea Surface Temperature, Version 5(ERSSTv5): Upgrades, Validations, and Intercomparisons. J. Climate, 30, 8179–8205, https://doi.org/10.1175/JCLI-D-16-0836.1.
Johns, W. E., T. N. Lee, D. X. Zhang, R. Zantopp, C.-T. Liu, and Y. Yang, 2001: The Kuroshio East of Taiwan: Moored transport observations from the WOCE PCM-1 array. J. Phys. Oceanogr., 11, 1031–1053, https://doi.org/10.1175/1520-0485(2001)031<1031:TKEOTM>2.0.CO;2.
Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 17, 437–472, https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
Kistler, R., and Coauthors, 2001: The NCEP-NCAR 50-year reanalysis: Monthly means CD-ROM and documentation. Bull. Amer. Meteor. Soc., 82, 247–268, https://doi.org/10.1175/1520-0477(2001)082<0247:TNNYRM>2.3.CO;2.
Kobayashi, S., and Coauthors, 2015: The JRA-55 reanalysis: General specifications and basic characteristics. J. Meteor. Soc. Japan., 93, 5–48, https://doi.org/10.2151/jmsj.2015-001.
Large, W. G., and S. G. Yeager, 2004: Diurnal to Decadal Global Forcing for Ocean and Sea-Ice Models: The Data Sets and Flux Climatologies. NCAR Tech. Note: NCAR/TN-460+STR, CGD Division of the National Center for Atmospheric Research.
Large, W. G., and S. G. Yeager, 2009: The global climatology of an interannually varying air-sea flux data set. Climate Dyn., 33, 341–364, https://doi.org/10.1007/s00382-008-0441-3.
Lellouche, Jean-Michel, Eric Greiner, Olivier Le Galloudec, Gilles Garric and Charly Regnier., 2018: Recent updates to the Copernicus Marine Service global ocean monitoring and forecasting real-time 1/12° high-resolution system. Ocean Sci, 14, 1093–1126, https://doi.org/10.5194/os-14-1933-2018.
Li, Y. W., H. L. Liu, and P. F. Lin, 2018: Interannual and decadal variability of the North Equatorial Undercurrents in an eddy-resolving ocean model. Scientific Reports, 8, 17112, https://doi.org/10.1038/s41598-018-35469-2.
Lin, P. F., H. L. Liu, J. Ma, and Y. W. Li, 2019: Ocean mesoscale structure-induced air-sea interaction in a high-resolution coupled model. Atmos. and Ocean. Sci. Lett., 12(2), 98–106.
Lin, P. F., and Coauthors, 2016: A coupled experiment with LICOM2 as the Ocean component of CESM1. J. Meteor. Res., 30, 76–92, https://doi.org/10.1007/s13351-015-5045-3.
Lin, P. F., and Coauthors, 2020: LICOM model datasets for the CMIP6 Ocean model intercomparison project. Adv. Atmos. Sci., 31, 239–249, https://doi.org/10.1007/s00376-019-9208-5.
Lin, P. F., H. L. Liu, and X. H. Zhang, 2007: Sensitivity of the upper ocean temperature and circulation in the equatorial pacific to solar radiation penetration due to phytoplankton. Adv. Atmos. Sci., 21, 765–780, https://doi.org/10.1007/s00376-007-0765-7.
Liu, H. L., P. F. Lin, Y. Q. Yu, and X. H. Zhang, 2012: The baseline evaluation of LASG/IAP climate system ocean model (LICOM) version 2. Acta Meteorologica Sinica, 26, 318–329, https://doi.org/10.1007/s13351-012-0305-y.
Liu, H. L., X. H. Zhang, W. Li, Y. Q. Yu, and R. C. Yu, 2004: An eddy-permitting oceanic general circulation model and its preliminary evaluation. Adv. Atmos. Sci., 21, 675–690, https://doi.org/10.1007/BF02916365.
Locarnini, R. A., A. V. Mishonov, J. I. Antonov, T. P. Boyer, and H. E. Garcia, 2006: World Ocean Atlas 2005, Vol. 1, Temperature. NOAA Atlas NESDIS 61, NOAA, U.S. Government Printing Office, Washington D.C.
Locarnini, R. A., A. V. Mishonov, J. I. Antonov, T. P. Boyer, H. E. Garcia, O. K. Baranova, M. M. Zweng, and D. R. Johnson, 2010: World Ocean Atlas 2009, Vol. 1, Temperature. NOAA Atlas NESDIS 68, NOAA, U.S. Government Printing Office.
Mesinger, F., and Z. I. Janjic, 1985: Problems and numerical methods of the incorporation of mountains in atmospheric models. Large-Scale Computations in Fluid Mechanics, Part 2, C. La Jolla, Ed., Lectures in Applied Mathematics, 81–120.
Murray, R. J., 1996: Explicit generation of orthogonal grids for ocean models. J. Comput.Phys., 126, 251–273, https://doi.org/10.1006/jcph.1996.0136.
Ohlmann, J. C., 2003: Ocean radiant heating in climate models. J. Climate, 16, 1337–1351, https://doi.org/10.1175/1520-0442-16.9.1337.
Qiu, B., D. L. Rudnick, S. M. Chen, and Y. Kashino, 2013: Quasi — stationary North Equatorial Undercurrent jets across the tropical North Pacific Ocean. Geophys. Res. Lett., 10, 2183–2187, https://doi.org/10.1002/grl.50394.
Reynolds, R. W., T. M. Smith, C. Y. Liu, D. B. Chelton, K. S. Casey, and M. G. Schlax, 2007: Daily high-resolution-blended analyses for sea surface temperature. J. Climate, 20, 5473–5496, https://doi.org/10.1175/2007JCLI1824.1.
Roemmich, D., and J. Gilson, 2009: The 2004–2008 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo Program. Progress in Oceanography, 82, 81–100, https://doi.org/10.1016/j.pocean.2009.03.004.
St. Laurent, L. C., H. L. Simmons, and S. R. Jayne, 2002: Estimating tidally driven mixing in the deep ocean. Geophys. Res. Lett., 29, 21–1-21-4, https://doi.org/10.1029/2002GL015633.
Steele, M., R. Morley, and W. Ermold, 2001: PHC: A global ocean hydrography with a high-quality Arctic Ocean. J. Climate, 11, 2079–2087, https://doi.org/10.1175/1520-0442(2001)014<2079:PAGOHW>2.0.CO;2.
Sun, Z. H., H. L. Liu, P. F. Lin, Z. P. Yu, and Y. W. Li, 2020: The simulation bias analysis of pacific North Equatorial countercurrent in LICOM3.0. Chinese Journal of Atmospheric Sciences, https://doi.org/10.3878/j.issn.100619895.1907, 19123. (in Chinese with English abstract)
Sun, Z. K., H. L. Liu, P. F. Lin, Y.-H. Tseng, J. Small, and F. Bryan, 2019: The modeling of the North Equatorial counter-current in the community earth system model and its oceanic component. Journal of Advances in Modeling Earth Systems, 11, 531–544, https://doi.org/10.1029/2018MS001521.
Tsujino, H., and Coauthors, 2018: JRA-55 based surface dataset for driving ocean-sea-ice models (JRA55-do). Ocean Modelling, 130, 79–139, https://doi.org/10.1016/j.ocemod.2018.07.002.
Tsujino, H., and Coauthors, 2020: Evaluation of global ocean-sea-ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2(OMIP-2). Geoscientific Model Development, https://doi.org/10.5194/gmd-2019-363.
Xiao, C., 2006: Adoption of a two-step shape-preserving advection scheme in an OGCM and its coupled experiment. M.S. thesis, Institute of Atmospheric Physics, Chinese Academy of Sciences, 89 pp. (in Chinese)
Yang, D. Z., B. S. Yin, Z. L. Liu, T. Bai, J. F. Qi, and H. Y. Chen, 2012: Numerical study on the pattern and origins of Kuroshio branches in the bottom water of southern East China Sea in summer. J. Geophys. Res.: Oceans, 4, C02014, https://doi.org/10.1029/2011JC007528.
Yu, R. C., 1994: A two-step shape-preserving advection scheme. Adv. Atmos. Sci., 11, 479–490, https://doi.org/10.1007/BF02658169.
Yu, Y. Q., S. L. Tang, H. L. Liu, P. F. Lin, and X. L. Li, 2018: Development and evaluation of the dynamic framework of an ocean general circulation model with arbitrary orthogonal curvilinear coordinate. Chinese Journal of Atmospheric Sciences, 42, 877–889, https://doi.org/10.3878/j.issn.1006-9895.1805.17284. (in Chinese with English abstract)
Yu, Z. P., H. L. Liu, and P. F. Lin, 2017: A numerical study of the influence of tidal mixing on Atlantic meridional overturning circulation (AMOC) Simulation. Chinese Journal of Atmospheric Sciences, 41, 1087–1100, https://doi.org/10.3878/j.issn.1006-9895.1702.16263.
Zhang, X. H., and X. Z. Liang, 1989: A numerical world ocean general circulation model. Adv. Atmos. Sci., 6, 44–61, https://doi.org/10.1007/BF02656917.
Acknowledgements
This study was supported by National Key R&D Program for Developing Basic Sciences (2018YFA0605703, 2016YFC1401401, 2016YFC1401601), the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDB42010404, XDC01000000), and the National Natural Science Foundation of China (Grants 41976026, 41776030 and 41931183, 41931182, 41576026). The authors acknowledge the technical support from the National Key Scientific and Technological Infrastructure project “Earth System Science Numerical Simulator Facility” (EarthLab).
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Li, Y., Liu, H., Ding, M. et al. Eddy-resolving Simulation of CAS-LICOM3 for Phase 2 of the Ocean Model Intercomparison Project. Adv. Atmos. Sci. 37, 1067–1080 (2020). https://doi.org/10.1007/s00376-020-0057-z
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DOI: https://doi.org/10.1007/s00376-020-0057-z