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Volumn 49, Issue 3, 2017, Pages 1107-1136

Intercomparison of the arctic sea ice cover in global ocean–sea ice reanalyses from the ora-ip project

(26)  Chevallier, Matthieu a   Smith, Gregory C b   Dupont, Frédéric b   Lemieux, Jean François b   Forget, Gael c   Fujii, Yosuke d   Hernandez, Fabrice e,f   Msadek, Rym g,h   Peterson, K Andrew i   Storto, Andrea j   Toyoda, Takahiro d   Valdivieso, Maria k   Vernieres, Guillaume l,m   Zuo, Hao n   Balmaseda, Magdalena n   Chang, You Soon o   Ferry, Nicolas e   Garric, Gilles e   Haines, Keith k   Keeley, Sarah n   more..


Author keywords

Arctic; Data assimilation; Ice; Ice thickness; Model intercomparison; Ocean reanalysis; Sea ice

Indexed keywords

ORA;

EID: 85082820773     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-016-2985-y     Document Type: Article
Times cited : (91)

References (102)
  • 5
    • 79251591955 scopus 로고    scopus 로고
    • Persistence and inherent predictability of Arctic sea ice in a GCM ensemble and observations
    • Blanchard-Wrigglesworth E, Armour KC, Bitz CM, DeWeaver E (2011) Persistence and inherent predictability of Arctic sea ice in a GCM ensemble and observations. J Clim 24(1):231–250
    • (2011) J Clim , vol.24 , Issue.1 , pp. 231-250
    • Blanchard-Wrigglesworth, E.1    Armour, K.C.2    Bitz, C.M.3    Deweaver, E.4
  • 8
    • 77952500382 scopus 로고    scopus 로고
    • Analysis and forecasting of sea ice conditions with three-dimensional variational data assimilation and a coupled ice–ocean model
    • Caya A, Buehner M, Carrieres T (2010) Analysis and forecasting of sea ice conditions with three-dimensional variational data assimilation and a coupled ice–ocean model. J Atmos Ocean Technol 27(2):353–369
    • (2010) J Atmos Ocean Technol , vol.27 , Issue.2 , pp. 353-369
    • Caya, A.1    Buehner, M.2    Carrieres, T.3
  • 9
    • 84874949113 scopus 로고    scopus 로고
    • An assessment of oceanic variability for 1960–2010 from the GFDL ensemble coupled data assimilation
    • Chang Y-S, Zhang S, Rosati A, Delworth TL, Stern WF (2013) An assessment of oceanic variability for 1960–2010 from the GFDL ensemble coupled data assimilation. Clim Dyn 40(3– 4):775–803. doi:10.1007/s00382-012-1412-2
    • (2013) Clim Dyn , vol.40 , Issue.3-4 , pp. 775-803
    • Chang, Y.-S.1    Zhang, S.2    Rosati, A.3    Delworth, T.L.4    Stern, W.F.5
  • 10
    • 84859951862 scopus 로고    scopus 로고
    • The role of sea ice thickness distribution in the Arctic sea ice potential predictability: A diagnos-tic approach with a coupled GCM
    • Chevallier M, Salas-Mélia D (2012) The role of sea ice thickness distribution in the Arctic sea ice potential predictability: a diagnos-tic approach with a coupled GCM. J Clim 25(8):3025–3038
    • (2012) J Clim , vol.25 , Issue.8 , pp. 3025-3038
    • Chevallier, M.1    Salas-Mélia, D.2
  • 11
    • 84881636710 scopus 로고    scopus 로고
    • Seasonal forecasts of the pan-Arctic sea ice extent using a GCM-based seasonal prediction system
    • Chevallier M, Salas-Mélia D, Voldoire A, Déqué M, Garric G (2013) Seasonal forecasts of the pan-Arctic sea ice extent using a GCM-based seasonal prediction system. J Clim 26(16):6092–6104
    • (2013) J Clim , vol.26 , Issue.16 , pp. 6092-6104
    • Chevallier, M.1    Salas-Mélia, D.2    Voldoire, A.3    Déqué, M.4    Garric, G.5
  • 13
    • 84912060614 scopus 로고    scopus 로고
    • Will Arctic sea ice thickness initialization improve seasonal forecast skill?
    • Day JJ, Hawkins E, Tietsche S (2014) Will Arctic sea ice thickness initialization improve seasonal forecast skill? Geophys Res Lett 41(21):7566–7575
    • (2014) Geophys Res Lett , vol.41 , Issue.21 , pp. 7566-7575
    • Day, J.J.1    Hawkins, E.2    Tietsche, S.3
  • 14
    • 79955446270 scopus 로고    scopus 로고
    • The ERA-Interim reanalysis: Configuration and performance of the data assimilation system
    • Dee DP et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. doi:10.1002/qj.828
    • (2011) Q J R Meteorol Soc , vol.137 , pp. 553-597
    • Dee, D.P.1
  • 16
    • 85016654706 scopus 로고    scopus 로고
    • On the assimilation of ice velocity and concentration data into large-scale sea ice models
    • Dulière V, Fichefet T (2007) On the assimilation of ice velocity and concentration data into large-scale sea ice models. Ocean Sci Discuss 4(2):265–301
    • (2007) Ocean Sci Discuss , vol.4 , Issue.2 , pp. 265-301
    • Dulière, V.1    Fichefet, T.2
  • 18
    • 0030698049 scopus 로고
    • (1997) Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics
    • Fichefet T, Maqueda MA (1997) Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics. J Geophys Res Oceans (1978–2012) 102(C6):12609–12646
    • (1978) J Geophys Res Oceans , vol.102 , Issue.C6 , pp. 12609-12646
    • Fichefet, T.1    Maqueda, M.A.2
  • 19
    • 84867266716 scopus 로고    scopus 로고
    • Impact of melt ponds on Arctic sea ice simulations from 1990 to 2007
    • Flocco D, Schroeder D, Feltham DL, Hunke EC (2012) Impact of melt ponds on Arctic sea ice simulations from 1990 to 2007. J Geophys Res Oceans (1978–2012) 117:C09032. doi:10.1029/2012JC008195
    • (2012) J Geophys Res Oceans , vol.117
    • Flocco, D.1    Schroeder, D.2    Feltham, D.L.3    Hunke, E.C.4
  • 20
    • 85018553673 scopus 로고    scopus 로고
    • ECCO 10 version 4: An integrated framework for non-linear inverse modeling and global ocean state estima-tion
    • Forget G, Campin J-M, Heimbach P, Hill CN, Ponte RM, Wunsch C (2015) ECCO 10 version 4: an integrated framework for non-linear inverse modeling and global ocean state estima-tion. Geosci Model Dev Discuss 8:3653–3743. doi:10.5194/gmdd-8-3653-2015
    • (2015) Geosci Model Dev Discuss , vol.8 , pp. 3653-3743
    • Forget, G.1    Campin, J.-M.2    Heimbach, P.3    Hill, C.N.4    Ponte, R.M.5    Wunsch, C.6
  • 22
    • 80455125646 scopus 로고    scopus 로고
    • Greenland Sea sea ice variability over 1979–2007 and its link to the surface atmosphere
    • Germe A, Houssais MN, Herbaut C, Cassou C (2011) Greenland Sea sea ice variability over 1979–2007 and its link to the surface atmosphere. J Geophys Res Oceans (1978–2012) 116(C10):C10034
    • (2011) J Geophys Res Oceans (1978–2012) , vol.116 , Issue.C10
    • Germe, A.1    Houssais, M.N.2    Herbaut, C.3    Cassou, C.4
  • 24
    • 0000716685 scopus 로고
    • A dynamic thermodynamic sea ice model
    • Hibler WD III (1979) A dynamic thermodynamic sea ice model. J Phys Oceanogr 9(4):815–846
    • (1979) J Phys Oceanogr , vol.9 , Issue.4 , pp. 815-846
    • Hibler, W.D.1
  • 25
    • 0036646726 scopus 로고    scopus 로고
    • The elastic–viscous–plastic sea ice dynamics model in general orthogonal curvilinear coordinates on a sphere-incorporation of metric terms
    • Hunke EC, Dukowicz JK (2002) The elastic–viscous–plastic sea ice dynamics model in general orthogonal curvilinear coordinates on a sphere-incorporation of metric terms. Mon Weather Rev 130(7):1848–1865
    • (2002) Mon Weather Rev , vol.130 , Issue.7 , pp. 1848-1865
    • Hunke, E.C.1    Dukowicz, J.K.2
  • 26
    • 0010356675 scopus 로고    scopus 로고
    • CICE: The Los Alamos sea ice model, documentation and software user’s manual
    • Hunke EC, Lipscomb WH (2010) CICE: the Los Alamos sea ice model, documentation and software user’s manual, Version 4.1
    • (2010) Version , vol.4 , pp. 1
    • Hunke, E.C.1    Lipscomb, W.H.2
  • 27
    • 84902078003 scopus 로고    scopus 로고
    • Retrieval of Arctic sea ice parameters by satellite passive microwave sensors: A comparison of eleven sea ice concentration algorithms
    • Ivanova N, Johannessen OM, Pedersen LT, Tonboe RT (2014) Retrieval of Arctic sea ice parameters by satellite passive microwave sensors: a comparison of eleven sea ice concentration algorithms. IEEE Trans Geosci Remote Sens 52(11):7233–7246
    • (2014) IEEE Trans Geosci Remote Sens , vol.52 , Issue.11 , pp. 7233-7246
    • Ivanova, N.1    Johannessen, O.M.2    Pedersen, L.T.3    Tonboe, R.T.4
  • 29
    • 34250719992 scopus 로고    scopus 로고
    • A comparison of Arctic Ocean sea ice concentration among the coordinated AOMIP model experiments
    • Johnson M, Gaffigan S, Hunke E, Gerdes R (2007) A comparison of Arctic Ocean sea ice concentration among the coordinated AOMIP model experiments. J Geophys Res Oceans (1978– 2012) 112(C4):C04S11
    • (2007) J Geophys Res Oceans (1978– 2012 , vol.112 , Issue.C4
    • Johnson, M.1    Gaffigan, S.2    Hunke, E.3    Gerdes, R.4
  • 35
    • 77956513952 scopus 로고    scopus 로고
    • Climatology of the Nordic (Irminger, Greenland, Barents, Kara and White/Pechora) Seas ice cover based on 85 GHz satellite microwave radiometry: 1992–2008
    • Kern S, Kaleschke L, Spreen G (2010) Climatology of the Nordic (Irminger, Greenland, Barents, Kara and White/Pechora) Seas ice cover based on 85 GHz satellite microwave radiometry: 1992–2008. Tellus A 62(4):411–434
    • (2010) Tellus A , vol.62 , Issue.4 , pp. 411-434
    • Kern, S.1    Kaleschke, L.2    Spreen, G.3
  • 37
    • 0033672188 scopus 로고    scopus 로고
    • Results of the sea ice model intercomparison project: Evaluation of sea ice rheology schemes for use in climate simulations
    • Kreyscher M, Harder M, Lemke P, Flato GM (2000) Results of the sea ice model intercomparison project: evaluation of sea ice rheology schemes for use in climate simulations. J Geophys Res 105:11299–11320
    • (2000) J Geophys Res , vol.105 , pp. 11299-11320
    • Kreyscher, M.1    Harder, M.2    Lemke, P.3    Flato, G.M.4
  • 39
    • 80053322223 scopus 로고    scopus 로고
    • Observational assessment of Arctic Ocean sea ice motion, export, and thickness in CMIP3 climate simulations
    • Kwok R (2011) Observational assessment of Arctic Ocean sea ice motion, export, and thickness in CMIP3 climate simulations. J Geophys Res Oceans (1978–2012) 116(C8):C00D05
    • (2011) J Geophys Res Oceans (1978–2012) 116(C8):C00D05
    • Kwok, R.1
  • 41
    • 56049091542 scopus 로고
    • Cunningham GF (2008) ICESat over Arctic sea ice: Estimation of snow depth and ice thickness
    • Kwok R, Cunningham GF (2008) ICESat over Arctic sea ice: estimation of snow depth and ice thickness. J Geophys Res Oceans (1978–2012) 113(C8):C08010
    • (1978) J Geophys Res Oceans , vol.113 , Issue.C8
    • Kwok, R.1
  • 42
    • 70350033644 scopus 로고    scopus 로고
    • Decline in Arctic sea ice thickness from submarine and ICESat records: 1958–2008
    • Kwok R, Rothrock DA (2009) Decline in Arctic sea ice thickness from submarine and ICESat records: 1958–2008. Geophys Res Lett 36(15):L15501
    • (2009) Geophys Res Lett , vol.36 , Issue.15
    • Kwok, R.1    Rothrock, D.A.2
  • 43
    • 2342548647 scopus 로고
    • Pang SS (2004) Fram Strait sea ice out-flow
    • Kwok R, Cunningham GF, Pang SS (2004) Fram Strait sea ice out-flow. J Geophys Res Oceans (1978–2012) 109(C1):C01009
    • (1978) J Geophys Res Oceans , vol.109 , Issue.C1
    • Kwok, R.1    Cunningham, G.F.2
  • 45
    • 67649159670 scopus 로고    scopus 로고
    • The global climatology of an interan-nually varying air–sea flux data set
    • Large WG, Yeager SG (2009) The global climatology of an interan-nually varying air–sea flux data set. Clim Dyn 33(2–3):341–364
    • (2009) Clim Dyn , vol.33 , Issue.2-3 , pp. 341-364
    • Large, W.G.1    Yeager, S.G.2
  • 47
    • 78649282780 scopus 로고    scopus 로고
    • New unified sea ice thickness climate data record
    • Lindsay R (2010) New unified sea ice thickness climate data record. Eos Trans Am Geophys Union 91(44):405–406
    • (2010) Eos Trans am Geophys Union , vol.91 , Issue.44 , pp. 405-406
    • Lindsay, R.1
  • 48
    • 30144438192 scopus 로고    scopus 로고
    • The thinning of Arctic sea ice, 1988– 2003: Have we passed a tipping point?
    • Lindsay RW, Zhang J (2005) The thinning of Arctic sea ice, 1988– 2003: have we passed a tipping point? J Clim 18(22):4879–4894
    • (2005) J Clim , vol.18 , Issue.22 , pp. 4879-4894
    • Lindsay, R.W.1    Zhang, J.2
  • 49
    • 33646425440 scopus 로고    scopus 로고
    • Assimilation of ice concentration in an ice–ocean model
    • Lindsay RW, Zhang J (2006) Assimilation of ice concentration in an ice–ocean model. J Atmos Ocean Technol 23(5):742–749
    • (2006) J Atmos Ocean Technol , vol.23 , Issue.5 , pp. 742-749
    • Lindsay, R.W.1    Zhang, J.2
  • 51
    • 84896980144 scopus 로고    scopus 로고
    • Evaluation of seven different atmospheric reanalysis products in the Arctic
    • Lindsay R, Wensnahan M, Schweiger A, Zhang J (2014) Evaluation of seven different atmospheric reanalysis products in the Arctic. J Clim 27(7):2588–2606. doi:10.1175/JCLI-D-13-00014.1
    • (2014) J Clim , vol.27 , Issue.7 , pp. 2588-2606
    • Lindsay, R.1    Wensnahan, M.2    Schweiger, A.3    Zhang, J.4
  • 52
    • 33846935330 scopus 로고    scopus 로고
    • Assimilation of ice concentration in a coupled ice–ocean model, using the Ensemble Kalman filter
    • Lisæter KA, 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
    • (2003) Ocean Dyn , vol.53 , Issue.4 , pp. 368-388
    • Lisæter, K.A.1    Rosanova, J.2    Evensen, G.3
  • 53
    • 77949915710 scopus 로고    scopus 로고
    • On the formulation of sea-ice models. Part 1: Effects of different solver implementations and parameterizations
    • Losch M, Menemenlis D, Campin J-M, Heimbach P, Hill C (2010) On the formulation of sea-ice models. Part 1: effects of different solver implementations and parameterizations. Ocean Model 33:129–144
    • (2010) Ocean Model , vol.33 , pp. 129-144
    • Losch, M.1    Menemenlis, D.2    Campin, J.-M.3    Heimbach, P.4    Hill, C.5
  • 54
    • 79955073696 scopus 로고    scopus 로고
    • Meteorological observations from ship cruises during summer to the central Arctic: A comparison with reanalysis data
    • Lüpkes C, Vihma T, Jakobson E, König-Langlo G, Tetzlaff A (2010) Meteorological observations from ship cruises during summer to the central Arctic: a comparison with reanalysis data. Geophys Res Lett 37(9):L09810
    • (2010) Geophys Res Lett , vol.37 , Issue.9
    • Lüpkes, C.1    Vihma, T.2    Jakobson, E.3    König-Langlo, G.4    Tetzlaff, A.5
  • 57
    • 84906084131 scopus 로고    scopus 로고
    • Calibration of sea ice dynamic parameters in an ocean–sea ice model using an ensemble Kalman filter
    • Massonnet F, Goosse H, Fichefet T, Counillon F (2014) Calibration of sea ice dynamic parameters in an ocean–sea ice model using an ensemble Kalman filter. J Geophys Res Oceans 119(7):4168– 4184. doi:10.1002/2013JC009705
    • (2014) J Geophys Res Oceans , vol.119 , Issue.7 , pp. 4168-4184
    • Massonnet, F.1    Goosse, H.2    Fichefet, T.3    Counillon, F.4
  • 58
    • 84924785930 scopus 로고    scopus 로고
    • Prospects for improved seasonal Arctic sea ice predictions from multivariate data assimilation
    • Massonnet F, Fichefet T, Goosse H (2015) Prospects for improved seasonal Arctic sea ice predictions from multivariate data assimilation. Ocean Model 88:16–25
    • (2015) Ocean Model , vol.88 , pp. 16-25
    • Massonnet, F.1    Fichefet, T.2    Goosse, H.3
  • 59
    • 0024785980 scopus 로고
    • Kantha L (1989) An ice–ocean coupled model
    • Mellor GL, Kantha L (1989) An ice–ocean coupled model. J Geophys Res Oceans (1978–2012) 94(C8):10937–10954
    • (1978) J Geophys Res Oceans , vol.94 , Issue.C8 , pp. 10937-10954
    • Mellor, G.L.1
  • 60
    • 27744594721 scopus 로고    scopus 로고
    • Improving the spatial distribution of modeled Arctic sea ice thickness
    • Miller PA, Laxon SW, Feltham DL (2005). Improving the spatial distribution of modeled Arctic sea ice thickness. Geophys Res Lett 32(18):L18503
    • (2005) Geophys Res Lett , vol.32 , Issue.18
    • Miller, P.A.1    Laxon, S.W.2    Feltham, D.L.3
  • 62
    • 84904777918 scopus 로고    scopus 로고
    • Importance of initial conditions in seasonal predictions of Arctic sea ice extent
    • Msadek R, Vecchi GA, Winton M, Gudgel RG (2014) Importance of initial conditions in seasonal predictions of Arctic sea ice extent. Geophys Res Lett 41(14):5208–5215
    • (2014) Geophys Res Lett , vol.41 , Issue.14 , pp. 5208-5215
    • Msadek, R.1    Vecchi, G.A.2    Winton, M.3    Gudgel, R.G.4
  • 63
    • 84894205467 scopus 로고    scopus 로고
    • Sea-ice extent and its trend provide limited metrics of model performance
    • Notz D (2014) sea-ice extent and its trend provide limited metrics of model performance. Cryosphere 8:229–243
    • (2014) Cryosphere , vol.8 , pp. 229-243
    • Notz, D.1
  • 64
    • 0022171680 scopus 로고
    • Atmospheric boundary layer structure and drag coefficients over sea ice (1978–2012)
    • Overland JE (1985) Atmospheric boundary layer structure and drag coefficients over sea ice (1978–2012). J Geophys Res Oceans 90(C5):9029–9049
    • (1985) J Geophys Res Oceans , vol.90 , Issue.C5 , pp. 9029-9049
    • Overland, J.E.1
  • 66
    • 84939872463 scopus 로고    scopus 로고
    • Assessing the forecast skill of Arctic sea ice extent in the GloSea4 seasonal prediction system
    • Peterson KA, Arribas A, Hewitt HT, Keen AB, Lea DJ, McLaren AJ (2014) Assessing the forecast skill of Arctic sea ice extent in the GloSea4 seasonal prediction system. Clim Dyn 44(1–2):147–162
    • (2014) Clim Dyn , vol.44 , Issue.1-2 , pp. 147-162
    • Peterson, K.A.1    Arribas, A.2    Hewitt, H.T.3    Keen, A.B.4    Lea, D.J.5    McLaren, A.J.6
  • 67
    • 68749116693 scopus 로고    scopus 로고
    • Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979–2007
    • Rampal P, Weiss J, Marsan D (2009) Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979–2007. J Geophys Res Oceans (1978–2012) 114(C5):C05013
    • (2009) J Geophys Res Oceans , vol.114 , Issue.C5
    • Rampal, P.1    Weiss, J.2    Marsan, D.3
  • 68
    • 80053605840 scopus 로고    scopus 로고
    • IPCC climate models do not capture Arctic sea ice drift acceleration: Conse-quences in terms of projected sea ice thinning and decline
    • Rampal P, Weiss J, Dubois C, Campin J-M (2011) IPCC climate models do not capture Arctic sea ice drift acceleration: conse-quences in terms of projected sea ice thinning and decline. J Geophys Res 116:C00D07. doi:10.1029/2011JC007110
    • (2011) J Geophys Res , vol.116
    • Rampal, P.1    Weiss, J.2    Dubois, C.3    Campin, J.-M.4
  • 69
    • 0742305193 scopus 로고
    • Kaplan A (2003) Global analyses of sea surface temperature, sea ice and night marine air temperature since the late nineteenth century
    • Rayner N, Parker DE, Horton EB, Folland CK, Alexander LV, Rowell DP, Kent EC, Kaplan A (2003) Global analyses of sea surface temperature, sea ice and night marine air temperature since the late nineteenth century. J Geophys Res Atmos (1984–2012) 108(D14):4407
    • (1984) J Geophys Res Atmos , vol.108 , Issue.D14 , pp. 4407
    • Rayner, N.1    Parker, D.E.2    Horton, E.B.3    Folland, C.K.4    Alexander, L.V.5    Rowell, D.P.6    Kent, E.C.7
  • 70
    • 0036648346 scopus 로고    scopus 로고
    • An improved in situ and satellite SST analysis for climate
    • Reynolds RW, Rayner NA, Smith TM, Stokes DC, Wang W (2002) An improved in situ and satellite SST analysis for climate. J Clim 15(13):1609–1625
    • (2002) J Clim , vol.15 , Issue.13 , pp. 1609-1625
    • Reynolds, R.W.1    Rayner, N.A.2    Smith, T.M.3    Stokes, D.C.4    Wang, W.5
  • 71
    • 79952683753 scopus 로고    scopus 로고
    • MERRA: NASA’s modern-era ret-rospective analysis for research and applications
    • Rienecker MM et al (2011) MERRA: NASA’s modern-era ret-rospective analysis for research and applications. J Clim 24(14):3624–3648
    • (2011) J Clim , vol.24 , Issue.14 , pp. 3624-3648
    • Rienecker, M.M.1
  • 72
    • 84937056974 scopus 로고    scopus 로고
    • The international Arctic Buoy pro-gram—monitoring the Arctic Ocean for forecasting and research
    • Rigor IG, Ortmeyer M (2004) The international Arctic Buoy pro-gram—monitoring the Arctic Ocean for forecasting and research. Arct Res USA 18:21–25
    • (2004) Arct Res USA , vol.18 , pp. 21-25
    • Rigor, I.G.1    Ortmeyer, M.2
  • 73
    • 0000930909 scopus 로고
    • The energetics of the plastic deformation of pack ice by ridging
    • Rothrock DA (1975) The energetics of the plastic deformation of pack ice by ridging. J Geophys Res 80(33):4514–4519
    • (1975) J Geophys Res , vol.80 , Issue.33 , pp. 4514-4519
    • Rothrock, D.A.1
  • 75
    • 77956572998 scopus 로고    scopus 로고
    • The NCEP climate forecast system reanalysis
    • Saha S et al (2010) The NCEP climate forecast system reanalysis. Bull Am Meteorol Soc 91(8):1015–1057
    • (2010) Bull am Meteorol Soc , vol.91 , Issue.8 , pp. 1015-1057
    • Saha, S.1
  • 76
    • 84869836056 scopus 로고    scopus 로고
    • TOPAZ4: An ocean–sea ice data assimilation system for the North Atlantic and Arctic
    • Sakov P, Counillon F, Bertino L, Lisæter KA, Oke PR, Korablev A (2012) TOPAZ4: an ocean–sea ice data assimilation system for the North Atlantic and Arctic. Ocean Sci 8(4):633
    • (2012) Ocean Sci , vol.8 , Issue.4 , pp. 633
    • Sakov, P.1    Counillon, F.2    Bertino, L.3    Lisæter, K.A.4    Oke, P.R.5    Korablev, A.6
  • 78
    • 0022173583 scopus 로고
    • Henderson-Sellers A (1985) The sensitivity of a thermodynamic sea ice model to changes in surface albedo parameteriza-tion
    • Shine KP, Henderson-Sellers A (1985) The sensitivity of a thermodynamic sea ice model to changes in surface albedo parameteriza-tion. J Geophys Res Atmos (1984–2012) 90(D1):2243–2250
    • (1984) J Geophys Res Atmos , vol.90 , Issue.D1 , pp. 2243-2250
    • Shine, K.P.1
  • 81
    • 0031411090 scopus 로고    scopus 로고
    • The force balance of sea ice in a numerical model of the Arctic Ocean
    • Steele M, Zhang J, Rothrock D, Stern H (1997) The force balance of sea ice in a numerical model of the Arctic Ocean. J Geophys Res Oceans (1978–2012) 102(C9):21061–21079
    • (1997) J Geophys Res Oceans (1978–2012) , vol.102 , Issue.C9 , pp. 21061-21079
    • Steele, M.1    Zhang, J.2    Rothrock, D.3    Stern, H.4
  • 82
    • 84907999732 scopus 로고    scopus 로고
    • Estimation and impact of non-uniform horizontal correlation length scales for global ocean physical analyses
    • Storto A, Masina S, Dobricic S (2014) Estimation and impact of non-uniform horizontal correlation length scales for global ocean physical analyses. J Atmos Ocean Technol 31:2330–2349
    • (2014) J Atmos Ocean Technol , vol.31 , pp. 2330-2349
    • Storto, A.1    Masina, S.2    Dobricic, S.3
  • 86
    • 84902078003 scopus 로고    scopus 로고
    • Retrieval of Arctic sea ice parameters by satellite passive microwave sensors: A comparison of eleven sea ice concentration algorithms
    • Ivanova N, Johannessen OM, Pedersen LT, Tonboe RT (2014) Retrieval of Arctic sea ice parameters by satellite passive microwave sensors: a comparison of eleven sea ice concentration algorithms. IEEE Trans Geosci Remote Sens 52(11):7233–7246
    • (2014) IEEE Trans Geosci Remote Sens , vol.52 , Issue.11 , pp. 7233-7246
    • Ivanova, N.1    Johannessen, O.M.2    Pedersen, L.T.3    Tonboe, R.T.4
  • 87
    • 84867592516 scopus 로고    scopus 로고
    • Assimilation of sea-ice concentration in a global climate model—physical and statistical aspects
    • Tietsche S, Notz D, Jungclaus JH, Marotzke J (2012) Assimilation of sea-ice concentration in a global climate model—physical and statistical aspects. Ocean Sci Discuss 9(4):2403
    • (2012) Ocean Sci Discuss , vol.9 , Issue.4 , pp. 2403
    • Tietsche, S.1    Notz, D.2    Jungclaus, J.H.3    Marotzke, J.4
  • 88
    • 84930362441 scopus 로고    scopus 로고
    • Arctic sea ice in the ECMWF MyOcean2 ocean reanalysis ORAP5
    • Tietsche S, Balmaseda MA, Zuo H, Mogensen K (2015) Arctic sea ice in the ECMWF MyOcean2 ocean reanalysis ORAP5. Clim Dyn doi: 10.1007/s00382-015-2673-3
    • (2015) Clim Dyn
    • Tietsche, S.1    Balmaseda, M.A.2    Zuo, H.3    Mogensen, K.4
  • 89
    • 84878270934 scopus 로고    scopus 로고
    • Improved analysis of the seasonal-interannual fields by a global ocean data assimilation system
    • Toyoda T, Fujii Y, Yasuda T, Usui N, Iwao T, Kuragano T, Kamachi M (2013) Improved analysis of the seasonal-interannual fields by a global ocean data assimilation system. Theor Appl Mech Jpn 61:31–48. doi:10.11345/nctam.61.31
    • (2013) Theor Appl Mech Jpn , vol.61 , pp. 31-48
    • Toyoda, T.1    Fujii, Y.2    Yasuda, T.3    Usui, N.4    Iwao, T.5    Kuragano, T.6    Kamachi, M.7
  • 91
    • 84878943706 scopus 로고    scopus 로고
    • Impact of a new anisotropic rheology on simulations of Arctic sea ice
    • Tsamados M, Feltham DL, Wilchinsky AV (2013) Impact of a new anisotropic rheology on simulations of Arctic sea ice. J Geophys Res Oceans 118(1):91–107
    • (2013) J Geophys Res Oceans , vol.118 , Issue.1 , pp. 91-107
    • Tsamados, M.1    Feltham, D.L.2    Wilchinsky, A.V.3
  • 93
  • 95
    • 84907663485 scopus 로고    scopus 로고
    • Effects of Arctic sea ice decline on weather and cli-mate: A review
    • Vihma T (2014) Effects of Arctic sea ice decline on weather and cli-mate: a review. Surv Geophys 35(5):1175–1214
    • (2014) Surv Geophys , vol.35 , Issue.5 , pp. 1175-1214
    • Vihma, T.1
  • 96
    • 84876829330 scopus 로고    scopus 로고
    • The CNRM-CM5. 1 Global climate model: Description and basic evaluation
    • Voldoire A et al (2013) The CNRM-CM5. 1 Global climate model: description and basic evaluation. Clim Dyn 40(9–10):2091–2121
    • (2013) Clim Dyn , vol.40 , Issue.9-10 , pp. 2091-2121
    • Voldoire, A.1
  • 98
    • 0034038501 scopus 로고    scopus 로고
    • A reformulated three-layer sea ice model
    • Winton M (2000) A reformulated three-layer sea ice model. J Atmos Ocean Technol 17(4):525–531
    • (2000) J Atmos Ocean Technol , vol.17 , Issue.4 , pp. 525-531
    • Winton, M.1
  • 99
    • 0037983849 scopus 로고    scopus 로고
    • Modeling global sea ice with a thickness and enthalpy distribution model in generalized curvilinear coordinates
    • Zhang J, Rothrock DA (2003) Modeling global sea ice with a thickness and enthalpy distribution model in generalized curvilinear coordinates. Mon Weather Rev 131(5):845–861
    • (2003) Mon Weather Rev , vol.131 , Issue.5 , pp. 845-861
    • Zhang, J.1    Rothrock, D.A.2
  • 100
    • 35748930572 scopus 로고    scopus 로고
    • System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies
    • Zhang S, Harrison MJ, Rosati A, Wittenberg AT (2007) System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies. Mon Weather Rev 135(10):3541–3564. doi:10.1175/MWR3466.1
    • (2007) Mon Weather Rev , vol.135 , Issue.10 , pp. 3541-3564
    • Zhang, S.1    Harrison, M.J.2    Rosati, A.3    Wittenberg, A.T.4
  • 101
    • 85026828643 scopus 로고    scopus 로고
    • The ECMWF-MyOcean2 eddy-permitting ocean and sea-ice reanalysis ORAP5. Part 1: Implementation
    • Zuo H, Balmaseda MA, Mogensen K (2015) The ECMWF-MyOcean2 eddy-permitting ocean and sea-ice reanalysis ORAP5. Part 1: implementation, ECMWF technical memoran-dum 736
    • (2015) ECMWF Technical Memoran-Dum , pp. 736
    • Zuo, H.1    Balmaseda, M.A.2    Mogensen, K.3
  • 102
    • 84899046697 scopus 로고    scopus 로고
    • Uncertainties in Arctic sea ice thickness and volume: New estimates and implications for trends
    • Zygmuntowska M, Rampal P, Ivanova N, Smedsrud LH (2014) Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends. Cryosphere 8(2):705–720
    • (2014) Cryosphere , vol.8 , Issue.2 , pp. 705-720
    • Zygmuntowska, M.1    Rampal, P.2    Ivanova, N.3    Smedsrud, L.H.4


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