Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review, editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Full name
E-mail
Phone number
Title
Message
Verification Code
Volume 42 Issue 5
Nov.  2020
Turn off MathJax
Article Contents
Wang Song,Su Jie,Chu Min, et al. Comparison of simulation results of the Arctic sea ice by BCC_CSM: CMIP5 and CMIP6 historical experiments[J]. Haiyang Xuebao,2020, 42(5):49–64,doi:10.3969/j.issn.0253−4193.2020.05.006
Citation: Wang Song,Su Jie,Chu Min, et al. Comparison of simulation results of the Arctic sea ice by BCC_CSM: CMIP5 and CMIP6 historical experiments[J]. Haiyang Xuebao,2020, 42(5):49–64,doi:10.3969/j.issn.0253−4193.2020.05.006

Comparison of simulation results of the Arctic sea ice by BCC_CSM: CMIP5 and CMIP6 historical experiments

doi: 10.3969/j.issn.0253-4193.2020.05.006
  • Received Date: 2019-04-17
  • Rev Recd Date: 2019-11-04
  • Available Online: 2020-11-18
  • Publish Date: 2020-05-25
  • In this paper, the simulation performance of the sea ice concentration, ice extent/area, and ice thickness of the Arctic is compared based on the results of the climate system model of Beijing Climate Center (BCC_CSM) in the recent two coupling model comparison programs (CMIP5 and CMIP6). The results show that, compared with the results in the CMIP5, the CMIP6 historical experiment recently released has different degrees of improvement in the Arctic sea ice extent seasonal cycle and sea ice thickness, which are shown as follows: (1) In the CMIP6 experiment, the simulated sea ice extent in summer is larger, while the sea ice extent in winter is smaller, which is generally closer to the observation result than the CMIP5. (2) The sea ice thickness simulated by BCC_CSM in the two CMIP is relatively small, but the CMIP6 experiment slightly improves the problem of excessively thin sea ice thickness. Through the analysis of the variables (such as SST, air temperature and radiation flux, turbulent heat flux, ocean heat flux) in different spheres of the climate system affecting the sea ice process, we discuss the causes of the above simulation errors and the improvement of CMIP6 simulation results. The analysis shows that the Arctic sea ice extent simulated by BCC_CSM model in CMIP5 from August to September is small, which is mainly caused by greater ocean heat flux, larger downward short-wave radiation and smaller albedo, while CMIP6 experiment has a great improvement in these aspects. From December to February, the Arctic sea ice extent simulated by CMIP5 is relatively large mainly because of the low ocean heat flux, and the ocean heat flux simulated by CMIP6 is larger than that of CMIP5. However, the improvement of the north Atlantic regional ocean surface current is the main reason for the improvement of the sea ice extent in this region, especially the sea ice edge in the Baffin Bay. The thinner summer sea ice thickness simulated by CMIP5 is mainly due to the larger ocean heat flux and ice surface heat budget from June to August, while the improvement of sea ice thickness simulated by CMIP6 is mainly due to the improvement of ocean heat flux and net short-wave radiation. The improvement of sea ice simulation has direct and indirect relationship with CMIP6 sea ice module and atmospheric module parameterization. By changing short-wave radiation, ice surface albedo and ocean heat flux, the performance of BCC_CSM mode on Arctic sea ice has been effectively improved.
  • loading
  • [1]
    Comiso J C, Parkinson C L, Gersten R, et al. Accelerated decline in the Arctic sea ice cover[J]. Geophysical Research Letters, 2008, 35(1): L01703.
    [2]
    Perovich D K, Richter-Menge J A. Loss of sea ice in the Arctic[J]. Annual Review of Marine Science, 2009, 1: 417−441. doi: 10.1146/annurev.marine.010908.163805
    [3]
    Stroeve J C, Kattsov V, Barrett A, et al. Trends in Arctic sea ice extent from CMIP5, CMIP3 and observations[J]. Geophysical Research Letters, 2012, 39(16): L16502.
    [4]
    Serreze M C, Stroeve J. Arctic sea ice trends, variability and implications for seasonal ice forecasting[J]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2015, 373(2045): 20140159. doi: 10.1098/rsta.2014.0159
    [5]
    Stroeve J, Holland M M, Meier W, et al. Arctic sea ice decline: faster than forecast[J]. Geophysical Research Letters, 2007, 34(9): L09501.
    [6]
    Rothrock D A, Percival D B, Wensnahan M. The decline in arctic sea-ice thickness: separating the spatial, annual, and interannual variability in a quarter century of submarine data[J]. Journal of Geophysical Research: Oceans, 2008, 113(C5): C05003.
    [7]
    Kwok R, Rothrock D A. Decline in Arctic sea ice thickness from submarine and ICESat records: 1958−2008[J]. Geophysical Research Letters, 2009, 36(15): L15501.
    [8]
    Maksym T. Arctic and Antarctic Sea ice change: contrasts, commonalities, and causes[J]. Annual Review of Marine Science, 2019, 11: 187−213. doi: 10.1146/annurev-marine-010816-060610
    [9]
    Johnson M, Gaffigan S, Hunke E, et al. A comparison of Arctic Ocean sea ice concentration among the coordinated AOMIP model experiments[J]. Journal of Geophysical Research: Oceans, 2007, 112(C4): C04S11.
    [10]
    Johnson M, Proshutinsky A, Aksenov Y, et al. Evaluation of Arctic sea ice thickness simulated by Arctic Ocean Model Intercomparison Project models[J]. Journal of Geophysical Research: Oceans, 2012, 117(C8): C00D13.
    [11]
    Vavrus S J, Bhatt U S, Alexeev V A. Factors influencing simulated changes in future Arctic cloudiness[J]. Journal of Climate, 2011, 24(18): 4817−4830. doi: 10.1175/2011JCLI4029.1
    [12]
    Winton M. Do climate models underestimate the sensitivity of Northern Hemisphere sea ice cover?[J]. Journal of Climate, 2011, 24(15): 3924−3934. doi: 10.1175/2011JCLI4146.1
    [13]
    Kattsov V M. Climate prediction: progress, problems, and prospects[J]. Russian Meteorology and Hydrology, 2010, 35(1): 10−12. doi: 10.3103/S1068373910010024
    [14]
    Kay J E, Holland M M, Jahn A. Inter-annual to multi-decadal Arctic sea ice extent trends in a warming world[J]. Geophysical Research Letters, 2011, 38(15): L15708.
    [15]
    邱博, 张录军, 储敏, 等. 气候系统模式对于北极海冰模拟分析[J]. 极地研究, 2015, 27(1): 47−55.

    Qiu Bo, Zhang Lujun, Chu Min, et al. Performance analysis of Arctic sea ice simulation in climate system models[J]. Chinese Journal of Polar Research, 2015, 27(1): 47−55.
    [16]
    王秀成, 刘骥平, 俞永强, 等. FGOALS_g1.1极地气候模拟[J]. 气象学报, 2009, 67(6): 961−972.

    Wang Xiucheng, Liu Jiping, Yu Yongqiang, et al. Polar climate simulation in FGOALS_g1.1[J]. Acta Meteorologica Sinica, 2009, 67(6): 961−972.
    [17]
    王秀成, 刘骥平, 俞永强, 等. 海冰模式CICE4.0与LASG/IAP气候系统模式的耦合试验[J]. 大气科学, 2010, 34(4): 780−792. doi: 10.3878/j.issn.1006-9895.2010.04.10

    Wang Xiucheng, Liu Jiping, Yu Yongqiang, et al. Experiment of coupling sea ice model CICE4. 0 to LASG/IAP climate system model[J]. Chinese Journal of Atmospheric Sciences, 2010, 34(4): 780−792. doi: 10.3878/j.issn.1006-9895.2010.04.10
    [18]
    舒启, 乔方利, 宋振亚. 地球系统模式FIO-ESM对北极海冰的模拟和预估[J]. 海洋学报, 2013, 35(5): 37−45.

    Shu Qi, Qiao Fangli, Song Zhenya. The hindcast and forecast of Arctic sea ice from FIO-ESM[J]. Haiyang Xuebao, 2013, 35(5): 37−45.
    [19]
    朱清照, 闻新宇. 中国CMIP5模式对未来北极海冰的模拟偏差[J]. 气候变化研究进展, 2016, 12(4): 276−285. doi: 10.12006/j.issn.1673-1719.2015.204

    Zhu Qingzhao, Wen Xinyu. Performance of Chinese climate models in simulating Arctic sea-ice in CMIP5 experiments[J]. Climate Change Research, 2016, 12(4): 276−285. doi: 10.12006/j.issn.1673-1719.2015.204
    [20]
    Flato G, Marotzke J, Abiodun B, et al. Evaluation of climate models[M]//Stocker T F, Qin D, Plattner G K, et al. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 2013: 787−789.
    [21]
    谭慧慧, 张录军, 储敏, 等. BCC_CSM对全球海冰面积和厚度模拟及其误差成因分析[J]. 大气科学, 2015, 39(1): 197−209. doi: 10.3878/j.issn.1006-9895.1404.13301

    Tan Huihui, Zhang Lujun, Chu Min, et al. An analysis of simulated global sea ice extent, thickness, and causes of error with the BCC_CSM model[J]. Chinese Journal of Atmospheric Sciences, 2015, 39(1): 197−209. doi: 10.3878/j.issn.1006-9895.1404.13301
    [22]
    房永杰, 储敏, 吴统文, 等. CICE5.0与BCC_CSM2.0模式的耦合及对北极海冰的模拟评估[J]. 海洋学报, 2017, 39(5): 33−43.

    Fang Yongjie, Chu Min, Wu Tongwen, et al. Couping of CICE5.0 with BCC_CSM2.0 model and its performance evaluation on Arctic sea ice simulation[J]. Haiyang Xuebao, 2017, 39(5): 33−43.
    [23]
    Eyring V, Bony S, Meehl G A, et al. Overview of the Coupled Model Intercomparison Project Phase 6(CMIP6) experimental design and organization[J]. Geoscientific Model Development, 2016, 9(5): 1937−1958. doi: 10.5194/gmd-9-1937-2016
    [24]
    Wu Tongwen, Lu Yixiong, Fang Yongjie, et al. The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6[J]. Geoscientific Model Development, 2019, 12(4): 1573−1600. doi: 10.5194/gmd-12-1573-2019
    [25]
    Wu Tongwen, Song Lianchun, Li Weiping, et al. An overview of BCC climate system model development and application for climate change studies[J]. Journal of Meteorological Research, 2014, 28(1): 34−56.
    [26]
    Wu Tongwen, Li Weiping, Ji Jinjun, et al. Global carbon budgets simulated by the Beijing Climate Center Climate System Model for the last century[J]. Journal of Geophysical Research: Atmospheres, 2013, 118(10): 4326−4347. doi: 10.1002/jgrd.50320
    [27]
    Xin Xiaoge, Wu Tongwen, Li Jianglong, et al. How well does BCC_CSM1. 1 reproduce the 20th century climate change over China?[J]. Atmospheric and Oceanic Science Letters, 2013, 6(1): 21−26. doi: 10.1080/16742834.2013.11447053
    [28]
    Lu Yixiong, Zhou Mingyu, Wu Tongwen. Validation of parameterizations for the surface turbulent fluxes over sea ice with CHINARE 2010 and SHEBA data[J]. Polar Research, 2013, 32(1): 20818. doi: 10.3402/polar.v32i0.20818
    [29]
    Cavalieri D J, Parkinson C L, Gloersen P, et al. Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS passive microwave data[R]. Boulder, Colorado USA: NASA National Snow and Ice Data Center Distributed Active Archive Center, 1996.
    [30]
    Dee D P, Uppala S M, Simmons A J, et al. The ERA-Interim reanalysis: configuration and performance of the data assimilation system[J]. Quarterly Journal of the Royal Meteorological Society, 2011, 137(656): 553−597. doi: 10.1002/qj.828
    [31]
    Zhang Jinlun, Rothrock D A. Modeling global sea ice with a thickness and enthalpy distribution model in generalized curvilinear coordinates[J]. Monthly Weather Review, 2003, 131(5): 845−861. doi: 10.1175/1520-0493(2003)131<0845:MGSIWA>2.0.CO;2
    [32]
    Carton J A, Chepurin G, Cao Xianhe. A simple ocean data assimilation analysis of the global upper ocean 1950-95. Part II: results[J]. Journal of Physical Oceanography, 2000, 30(2): 311−326. doi: 10.1175/1520-0485(2000)030<0311:ASODAA>2.0.CO;2
    [33]
    Stroeve J, Serreze M, Drobot S, et al. Arctic sea ice extent plummets in 2007[J]. Eos, Transactions American Geophysical Union, 2008, 89(2): 13−14. doi: 10.1029/2008EO020001
    [34]
    Parkinson C L, Comiso J C. On the 2012 record low Arctic sea ice cover: combined impact of preconditioning and an August storm[J]. Geophysical Research Letters, 2013, 40(7): 1356−1361. doi: 10.1002/grl.50349
    [35]
    Vaughan D G, Comiso J C, Allison I, et al. Observations of the cryosphere[M]//Stocker T F, Qin D, Plattner G K, et al. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 2013: 317−382.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(11)  / Tables(1)

    Article views (616) PDF downloads(56) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return