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Impact of the initialisation on the predictability of the Southern Ocean sea ice at interannual to multi-decadal timescales

Bibliographic reference Zunz, Violette ; Goosse, Hugues ; Dubinkina, Svetlana. Impact of the initialisation on the predictability of the Southern Ocean sea ice at interannual to multi-decadal timescales. In: Climate Dynamics, Vol. 44, no.7-8, p. 2267-2286 (2014)
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  1. Bintanja R., van Oldenborgh G. J., Drijfhout S. S., Wouters B., Katsman C. A., Important role for ocean warming and increased ice-shelf melt in Antarctic sea-ice expansion, 10.1038/ngeo1767
  2. Bitz C. M., Polvani L. M., Antarctic climate response to stratospheric ozone depletion in a fine resolution ocean climate model : OZONE DEPLETION AND ANTARCTIC CLIMATE, 10.1029/2012gl053393
  3. Bitz C. M., Gent P. R., Woodgate R. A., Holland M. M., Lindsay R., The Influence of Sea Ice on Ocean Heat Uptake in Response to Increasing CO2, 10.1175/jcli3756.1
  4. Blanchard-Wrigglesworth E., Bitz C. M., Holland M. M., Influence of initial conditions and climate forcing on predicting Arctic sea ice : ARCTIC SEA ICE PREDICTABILITY, 10.1029/2011gl048807
  5. Brohan P., Kennedy J. J., Harris I., Tett S. F. B., Jones P. D., Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850, 10.1029/2005jd006548
  6. Brovkin Victor, Bendtsen Jørgen, Claussen Martin, Ganopolski Andrey, Kubatzki Claudia, Petoukhov Vladimir, Andreev Andrei, Carbon cycle, vegetation, and climate dynamics in the Holocene: Experiments with the CLIMBER-2 model : CARBON CYCLE, VEGETATION, AND CLIMATE DYNAMICS IN THE HOLOCENE, 10.1029/2001gb001662
  7. Comiso J (1999) Bootstrap sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS. Version 2, January 1980 to December 2009, Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center
  8. Comiso Josefino C., Nishio Fumihiko, Trends in the sea ice cover using enhanced and compatible AMSR-E, SSM/I, and SMMR data, 10.1029/2007jc004257
  9. Day J. J., Tietsche S., Hawkins E., Pan-Arctic and Regional Sea Ice Predictability: Initialization Month Dependence, 10.1175/jcli-d-13-00614.1
  10. Döscher Ralf, Wyser Klaus, Meier H. E. Markus, Qian Minwei, Redler René, Quantifying Arctic contributions to climate predictability in a regional coupled ocean-ice-atmosphere model, 10.1007/s00382-009-0567-y
  11. Dubinkina S., Goosse H., An assessment of particle filtering methods and nudging for climate state reconstructions, 10.5194/cp-9-1141-2013
  13. Dunstone N. J., Smith D. M., Impact of atmosphere and sub-surface ocean data on decadal climate prediction : INITIALISATION FOR DECADAL PREDICTION, 10.1029/2009gl041609
  14. Fetterer F, Knowles K, Meier W, Savoie M (2002) Sea Ice Index, January 1980 to December 2009, Boulder, Colorado USA: National Snow and Ice Data Center. doi: 10.7265/N5QJ7F7W
  15. Germe Agathe, Chevallier Matthieu, Salas y Mélia David, Sanchez-Gomez Emilia, Cassou Christophe, Interannual predictability of Arctic sea ice in a global climate model: regional contrasts and temporal evolution, 10.1007/s00382-014-2071-2
  16. Goddard L., Kumar A., Solomon A., Smith D., Boer G., Gonzalez P., Kharin V., Merryfield W., Deser C., Mason S. J., Kirtman B. P., Msadek R., Sutton R., Hawkins E., Fricker T., Hegerl G., Ferro C. A. T., Stephenson D. B., Meehl G. A., Stockdale T., Burgman R., Greene A. M., Kushnir Y., Newman M., Carton J., Fukumori I., Delworth T., A verification framework for interannual-to-decadal predictions experiments, 10.1007/s00382-012-1481-2
  17. Goosse H., Fichefet T., Importance of ice-ocean interactions for the global ocean circulation: A model study, 10.1029/1999jc900215
  18. Goosse H., Zunz V., Decadal trends in the Antarctic sea ice extent ultimately controlled by ice–ocean feedback, 10.5194/tc-8-453-2014
  19. Goosse H, Lefebvre W, de Montety A, Crespin E, Orsi A (2009) Consistent past half-century trends in the atmosphere, the sea ice and the ocean at high southern latitudes, Clim Dynam 33(7):999–1016-1016
  20. Goosse H et al (2010) Description of the earth system model of intermediate complexity LOVECLIM version 1.2, geoscientific model. Development 3(2):603–633. doi: 10.5194/gmd-3-603-2010
  21. Holland Marika M., Blanchard-Wrigglesworth Edward, Kay Jennifer, Vavrus Steven, Initial-value predictability of Antarctic sea ice in the Community Climate System Model 3 : ANTARCTIC SEA ICE PREDICTABILITY, 10.1002/grl.50410
  22. Holland Paul R., Kwok Ron, Wind-driven trends in Antarctic sea-ice drift, 10.1038/ngeo1627
  23. Kalnay E (2007) Atmospheric modeling, data assimilation and predictability, 4th edn. Cambridge University Press, Cambridge
  24. Keenlyside N. S., Latif M., Jungclaus J., Kornblueh L., Roeckner E., Advancing decadal-scale climate prediction in the North Atlantic sector, 10.1038/nature06921
  25. Kim Hye-Mi, Webster Peter J., Curry Judith A., Evaluation of short-term climate change prediction in multi-model CMIP5 decadal hindcasts : MULTI-MODEL CMIP5 DECADAL PREDICTIONS, 10.1029/2012gl051644
  26. Kirkman Clark H., Bitz Cecilia M., The Effect of the Sea Ice Freshwater Flux on Southern Ocean Temperatures in CCSM3: Deep-Ocean Warming and Delayed Surface Warming, 10.1175/2010jcli3625.1
  27. Koenigk Torben, Mikolajewicz Uwe, Seasonal to interannual climate predictability in mid and high northern latitudes in a global coupled model, 10.1007/s00382-008-0419-1
  28. Kröger Jürgen, Müller Wolfgang A., von Storch Jin-Song, Impact of different ocean reanalyses on decadal climate prediction, 10.1007/s00382-012-1310-7
  29. Landrum Laura, Holland Marika M., Schneider David P., Hunke Elizabeth, Antarctic Sea Ice Climatology, Variability, and Late Twentieth-Century Change in CCSM4, 10.1175/jcli-d-11-00289.1
  30. Lefebvre Wouter, Goosse Hugues, An analysis of the atmospheric processes driving the large-scale winter sea ice variability in the Southern Ocean, 10.1029/2006jc004032
  31. Mahlstein Irina, Gent Peter R., Solomon Susan, Historical Antarctic mean sea ice area, sea ice trends, and winds in CMIP5 simulations : ANTARCTIC SEA ICE IN CMIP5 SIMULATIONS, 10.1002/jgrd.50443
  32. Martinson Douglas G., Killworth Peter D., Gordon Arnold L., A Convective Model for the Weddell Polynya, 10.1175/1520-0485(1981)011<0466:acmftw>;2
  33. Matei Daniela, Pohlmann Holger, Jungclaus Johann, Müller Wolfgang, Haak Helmuth, Marotzke Jochem, Two Tales of Initializing Decadal Climate Prediction Experiments with the ECHAM5/MPI-OM Model, 10.1175/jcli-d-11-00633.1
  34. Matei D., Baehr J., Jungclaus J. H., Haak H., Muller W. A., Marotzke J., Multiyear Prediction of Monthly Mean Atlantic Meridional Overturning Circulation at 26.5 N, 10.1126/science.1210299
  35. Msadek R., Dixon K. W., Delworth T. L., Hurlin W., Assessing the predictability of the Atlantic meridional overturning circulation and associated fingerprints : ASSESSING THE PREDICTABILITY OF THE AMOC, 10.1029/2010gl044517
  36. Murphy J., Kattsov V., Keenlyside N., Kimoto M., Meehl G., Mehta V., Pohlmann H., Scaife A., Smith D., Towards Prediction of Decadal Climate Variability and Change, 10.1016/j.proenv.2010.09.018
  37. Notz D., Sea-ice extent and its trend provide limited metrics of model performance, 10.5194/tc-8-229-2014
  38. OPSTEEGH J. D., HAARSMA R. J., SELTEN F. M., KATTENBERG A., ECBILT: a dynamic alternative to mixed boundary conditions in ocean models, 10.1034/j.1600-0870.1998.t01-1-00007.x
  39. Parkinson C. L., Cavalieri D. J., Antarctic sea ice variability and trends, 1979–2010, 10.5194/tc-6-871-2012
  40. Phelps Michael W., Kumar Arun, O'Brien James J., Potential Predictability in the NCEP CPC Dynamical Seasonal Forecast System, 10.1175/1520-0442(2004)017<3775:ppitnc>;2
  41. Pierce David W., Barnett Tim P., Tokmakian Robin, Semtner Albert, Maltrud Mathew, Lysne JoAnne, Craig Anthony, The ACPI Project, Element 1: Initializing a Coupled Climate Model from Observed Conditions, 10.1023/b:clim.0000013676.42672.23
  42. Pohlmann Holger, Botzet Michael, Latif Mojib, Roesch Andreas, Wild Martin, Tschuck Peter, Estimating the Decadal Predictability of a Coupled AOGCM, 10.1175/3209.1
  43. Pohlmann Holger, Jungclaus Johann H., Köhl Armin, Stammer Detlef, Marotzke Jochem, Initializing Decadal Climate Predictions with the GECCO Oceanic Synthesis: Effects on the North Atlantic, 10.1175/2009jcli2535.1
  44. Pohlmann Holger, Smith Doug M., Balmaseda Magdalena A., Keenlyside Noel S., Masina Simona, Matei Daniela, Müller Wolfgang A., Rogel Philippe, Predictability of the mid-latitude Atlantic meridional overturning circulation in a multi-model system, 10.1007/s00382-013-1663-6
  45. Polvani Lorenzo M., Smith Karen L., Can natural variability explain observed Antarctic sea ice trends? New modeling evidence from CMIP5 : ANTARCTIC SEA ICE VARIABILITY AND TRENDS, 10.1002/grl.50578
  46. Servonnat Jérôme, Mignot Juliette, Guilyardi Eric, Swingedouw Didier, Séférian Roland, Labetoulle Sonia, Reconstructing the subsurface ocean decadal variability using surface nudging in a perfect model framework, 10.1007/s00382-014-2184-7
  47. Sigmond M., Fyfe J. C., Has the ozone hole contributed to increased Antarctic sea ice extent? : OZONE HOLE AND SEA ICE, 10.1029/2010gl044301
  48. Simpkins Graham R., Ciasto Laura M., England Matthew H., Observed variations in multidecadal Antarctic sea ice trends during 1979-2012 : VARIATIONS IN ANTARCTIC SEA ICE TRENDS, 10.1002/grl.50715
  49. Smith Doug M., Eade Rosie, Pohlmann Holger, A comparison of full-field and anomaly initialization for seasonal to decadal climate prediction, 10.1007/s00382-013-1683-2
  50. Smith Doug M., Eade Rosie, Dunstone Nick J., Fereday David, Murphy James M., Pohlmann Holger, Scaife Adam A., Skilful multi-year predictions of Atlantic hurricane frequency, 10.1038/ngeo1004
  51. Smith Karen L., Polvani Lorenzo M., Marsh Daniel R., Mitigation of 21st century Antarctic sea ice loss by stratospheric ozone recovery : OZONE RECOVERY AND ANTARCTIC SEA ICE, 10.1029/2012gl053325
  52. Solomon Susan, Stratospheric ozone depletion: A review of concepts and history, 10.1029/1999rg900008
  53. Stammerjohn S. E., Martinson D. G., Smith R. C., Yuan X., Rind D., Trends in Antarctic annual sea ice retreat and advance and their relation to El Niño–Southern Oscillation and Southern Annular Mode variability, 10.1029/2007jc004269
  54. Swingedouw D, Mignot J, Labetoulle S, Guilyardi E, Madec G (2012) Initialisation and predictability of the AMOC over the last 50 years in a climate model. Clim Dynam 40(9–10):2381–2399. doi: 10.1007/s00382-012-1516-8
  55. Talagrand O (1997) Assimilation of observations, an introduction. J Meteorol Soc Jpn Ser II 75(1B):191–209
  56. Taylor Karl E., Stouffer Ronald J., Meehl Gerald A., An Overview of CMIP5 and the Experiment Design, 10.1175/bams-d-11-00094.1
  57. Tietsche Steffen, Notz Dirk, Jungclaus Johann H., Marotzke Jochem, Predictability of large interannual Arctic sea-ice anomalies, 10.1007/s00382-013-1698-8
  58. Turner John, Bracegirdle Thomas J., Phillips Tony, Marshall Gareth J., Hosking J. Scott, An Initial Assessment of Antarctic Sea Ice Extent in the CMIP5 Models, 10.1175/jcli-d-12-00068.1
  59. van Leeuwen Peter Jan, Particle Filtering in Geophysical Systems, 10.1175/2009mwr2835.1
  60. van Leeuwen P. J., Nonlinear data assimilation in geosciences: an extremely efficient particle filter, 10.1002/qj.699
  61. Zhang Jinlun, Increasing Antarctic Sea Ice under Warming Atmospheric and Oceanic Conditions, 10.1175/jcli4136.1
  62. Zunz V., Goosse H., Massonnet F., How does internal variability influence the ability of CMIP5 models to reproduce the recent trend in Southern Ocean sea ice extent?, 10.5194/tc-7-451-2013