Sensitivity of the Arctic sea ice concentration forecasts to different atmospheric forcing: a case study

YANG Qinghua LIU Jiping ZHANG Zhanhai SUI Cuijuan XING Jianyong LI Ming LI Chunhua ZHAO Jiechen ZHANG Lin

YANGQinghua, LIUJiping, ZHANGZhanhai, SUICuijuan, XINGJianyong, LIMing, LIChunhua, ZHAOJiechen, ZHANGLin. 北极海冰密集度预报对大气强迫敏感性的个例研究[J]. 海洋学报英文版, 2014, 33(12): 15-23. doi: 10.1007/s13131-014-0566-7
引用本文: YANGQinghua, LIUJiping, ZHANGZhanhai, SUICuijuan, XINGJianyong, LIMing, LIChunhua, ZHAOJiechen, ZHANGLin. 北极海冰密集度预报对大气强迫敏感性的个例研究[J]. 海洋学报英文版, 2014, 33(12): 15-23. doi: 10.1007/s13131-014-0566-7
YANG Qinghua, LIU Jiping, ZHANG Zhanhai, SUI Cuijuan, XING Jianyong, LI Ming, LI Chunhua, ZHAO Jiechen, ZHANG Lin. Sensitivity of the Arctic sea ice concentration forecasts to different atmospheric forcing: a case study[J]. Acta Oceanologica Sinica, 2014, 33(12): 15-23. doi: 10.1007/s13131-014-0566-7
Citation: YANG Qinghua, LIU Jiping, ZHANG Zhanhai, SUI Cuijuan, XING Jianyong, LI Ming, LI Chunhua, ZHAO Jiechen, ZHANG Lin. Sensitivity of the Arctic sea ice concentration forecasts to different atmospheric forcing: a case study[J]. Acta Oceanologica Sinica, 2014, 33(12): 15-23. doi: 10.1007/s13131-014-0566-7

北极海冰密集度预报对大气强迫敏感性的个例研究

doi: 10.1007/s13131-014-0566-7

Sensitivity of the Arctic sea ice concentration forecasts to different atmospheric forcing: a case study

Funds: The Ocean Public Welfare Project of China under contract No. 201205007; the National Natural Science Foundation of China under contract Nos 41176169, 41376005, 41376188 and 41106165.
  • 摘要: 国家海洋环境预报中心近来建立了基于美国麻省理工学院通用环流模式(MITgcm)的北极海冰数值预报系统,其大气强迫场选用美国环境预测中心的全球大气预报系统(NCEP GFS)。为了进一步改进预报系统,结合2010年夏季期间三个典型的北极天气和海冰过程,使用新发展的Polar WRF大气模式预报产品,测试评估了北极海冰密集度预报对大气强迫数据的敏感性。预报初始化分别使用美国冰雪中心专用微波成像仪(SSM/I)或德国不莱梅大学AMSR-E(地球观测系统先进微波扫描辐射计)两种不同的北极海冰密集度卫星资料。评估表明,Polar WRF大气强迫的北极海冰密集度预报相比NCEP GFS结果有所改进。
  • Bertino L, Lisæter K A. 2008. The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans. J Oper Oceanogr, 1(2): 15-18
    Bougeault P, Toth Z, Bishop C, et al. 2010. The THORPEX interactive grand global ensemble. Bull Amer Meteor Soc, 91(8): 1059-1072
    Bromwich D H, Hines K M, Bai L S. 2009. Development and testing of Polar Weather Research and Forecasting model: 2. Arctic Ocean. J Geophys Res, 114: D08122, doi: 10.1029/2008JD010300
    Cavalieri D J, Parkinson C L, DiGirolamo N, et al. 2012. Intersensor calibration between F13 SSMI and F17 SSMIS for global sea ice data records. IEEE Trans Geosci Remote Sens Lett, 9(2): 233-236
    Cressmann G P. 1959. An operational objective analysis system. Mon Wea Rev, 87(10): 367-374
    Eicken H. 2013. Ocean science: Arctic sea ice needs better forecasts. Nature, 497(7450): 431-433
    Hines K M, Bromwich D H. 2008. Development and testing of Polar WRF. Part I: Greenland Ice Sheet meteorology. Mon Wea Rev, 136(6): 1971-1989
    IPCC. 2013. Climate Change 2013: The Physical Science Basis. In: Stocker T F, Qin D, Plattner G K, et al., eds. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press, 1535 Kalnay E, Kanamitsu M, Kistler R, et al. 1996. The NCEP/NCAR 40-year reanalysis project. Bull Amer Meteor Soc, 77(3): 437-471
    Kwok R, Cunningham G, Wensnahan M, et al. 2009. Thinning and volume loss of the Arctic Ocean sea ice cover: 2003-2008. J Geophys Res, 114(C7): C07005, doi: 10.1029/2009JC005312.
    Lisæter K A, Rosanova J, Evensen G. 2003. Assimilation of ice concentration in a coupled ice-ocean model using the Ensemble Kalman filter. Ocean Dyn, 53(4): 368-388
    Liu Jiping, Song Mirong, Horton R M, et al. 2013. Reducing spread in climate model projections of a September ice-free Arctic. Proc Natl Acad Sci USA, 110(31): 12571-12576
    Losch M, Menemenlis D, Campin J-M, et al. 2010. On the formulation of sea-ice models. Part 1: Effects of different solver implementations and parameterizations. Ocean Modell, 33(1): 129-144
    Marshall J, Adcroft A, Hill C, et al. 1997. A finite-volume, incompressible Navier Stokes model for studies of the ocean on parallel computers. J Geophys Res, 102(C3): 5753-5766
    Menemenlis D, Campin J-M, Heimbach P, et al. 2008. ECCO2: High resolution global ocean and sea ice data synthesis. Mercator Ocean Quarterly Newsletter, 31: 13-21
    Nguyen A T, Kwok R, Menemenlis D. 2012. Source and pathway of the Western Arctic upper halocline in a data-constrained coupled ocean and sea ice model. J Phys Oceanogr, 42(5): 802-823
    Nguyen A T, Menemenlis D, Kwok R. 2011. Arctic ice-ocean simulation with optimized model parameters: Approach and assessment. J Geophys Res, 116(C4): C04025, doi: 10.1029/2010JC006573
    Pham D T, Verron J, Gourdeau L. 1998. Singular evolutive Kalman filters for data assimilation in oceanography. Comptes Rendus-Academie des Sciences Paris, Earth Planet Sci, 326: 255-260
    Posey P G, Smedstad L F, Preller R H, et al. 2008. User's Manual for the Polar Ice Prediction System (PIPS) Version 3.0. Naval Research Laboratory Technical Report, NRL/MR/7320-08-9154. Mississippi: Stennis Space Center Preller R H, Posey P G, Maslowski W, et al. 2002. Navy sea ice prediction systems. Oceanography, 15(1): 44-56
    Sakov P, Counillon F, Bertino L, et al. 2012. TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. Ocean Sci, 8(4): 633-656
    Serreze M, Holland M, Stroeve J. 2007. Perspectives on the Arctic's shrinking sea-ice cover. Science, 315(5818): 1533-1536
    Spreen G, Kaleschke L, Heygster G. 2008. Sea ice remote sensing using Amsr-e 89 GHz channels. J Geophys Res, 113: C02S03, doi: 10.1029/2005JC003384
    Skamarock W C, Klemp J B, Dudhia J, et al. 2005. A description of the advanced research WRF version 2. NCAR Technical Notes NCAR/TN-468_STR. Colorado: National Center for Atmospheric Research Smith W H, Sandwell D T. 1997. Global sea floor topography from satellite altimetry and ship depth soundings. Science, 277(5334): 1956-1962
    Wang Jia, Zhang Jinlun, Watanabe E, et al. 2009. Is the Dipole Anomaly a major driver to record lows in Arctic summer sea ice extent? Geophys Res Lett, 36(5): L05706, doi: 10.1029/2008GL036706
    Yang Qinghua, Li Chunhua, Xing Jianyong, et al. 2012. Arctic sea ice forecasting experiments in the summer of 2010. Chinese Journal of Polar Research (in Chinese), 24(1): 87-94
    Yang Qinghua, Liu Jiping, Zhang Zhanhai, et al. 2011. A preliminary study of the Arctic sea ice numerical forecasting: Coupled sea ice-ocean modelling experiments based on MITgcm. Chinese Journal of Atmospheric Sciences (in Chinese), 35(3): 473-482
    Yang Qinghua, Losa N S, Losch M, et al. 2014. Assimilating summer sea ice concentration into a coupled ice-ocean model using a localized SEIK filter. Ann Glaciol, 56(69): doi: 10.3189/2015Ao-G69A740
    Zhang Jinlun, Hibler III W D. 1997. On an efficient numerical method for modeling sea ice dynamics. J Geophys Res, 102(C4): 8691- 8702
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出版历程
  • 收稿日期:  2014-02-09
  • 修回日期:  2014-08-08

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