Articles | Volume 11, issue 1
https://doi.org/10.5194/tc-11-65-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-65-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Jan 2017
Research article |
| 13 Jan 2017
Fram Strait sea ice export variability and September Arctic sea ice extent over the last 80 years
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
University Centre in Svalbard, Longyearbyen, Svalbard
Mari H. Halvorsen
Geophysical Institute, University of Bergen, Bergen, Norway
Julienne C. Stroeve
National Snow and Ice Data Centre, University of Colorado, Boulder, USA
Centre for Polar Observation and Modelling, University College
London, London, UK
Rong Zhang
Geophysical Fluid Dynamics Laboratory, National Oceanic and
Atmospheric Administration, Princeton, New Jersey, USA
Kjell Kloster
Nansen Environmental and Remote Sensing Center, Bergen, Norway
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Cited articles
Björk, G. and Söderkvist, J.: Dependence of the Arctic Ocean ice thickness distribution on the poleward energy flux in the atmosphere, J. Geophys. Res.-Oceans, 107, 3173, https://doi.org/10.1029/2000JC000723, 2002.
Cappelen, J.: Weather observations from Greenland 1958–2013, Observation data with description, Tech. Rep., DMI Technical Report 14-08, Danish Meteorological Institute, Copenhagen, 2014.
Chapman, W. L. and Walsh, J. E.: Arctic and Southern Ocean Sea Ice Concentrations, Boulder, Colorado USA: National Snow and Ice Data Center, https://doi.org/10.7265/N5057CVT (last access: 20 January 1996), 1991.
Comiso, J. C.: Large decadal decline of the Arctic multiyear ice cover, J. Clim., 25, 1176–1193, 2012.
Daniault, N., Mercier, H., and Lherminier, P.: The 1992–2009 transport variability of the East Greenland-Irminger Current at 60° N, Geophys. Res. Lett., 38, L07601, https://doi.org/10.1029/2011GL046863, 2011.
de Steur, L., Hansen, E., Mauritzen, C., Beszczynska-Möller, A., and Fahrbach, E.: Impact of recirculation on the East Greenland Current in Fram Strait: Results from moored current meter measurements between 1997 and 2009, Deep-Sea Res. Pt. I, 92, 26–40, 2014.
Francis, J. A., Hunter, E., Key, J. R., and Wang X.: Clues to variability in Arctic minimum sea ice extent, Geophys. Res. Lett., 32, L21501, https://doi.org/10.1029/2005GL024376, 2005.
Fučkar, A., Guemas, V., Johnson, N. C., Massonnet, F., and Doblas-Reyes, F. J.: Clusters of interannual sea ice variability in the northern hemisphere, Clim. Dynam., 47, 1527–1543, https://doi.org/10.1007/s00382-015-2917-2, 2016.
Graversen, R. G., Mauritsen, T., Drijfhout, S., Tjernström, M., and Mårtensson, S.: Warm winds from the Pacific caused extensive Arctic sea-ice melt in summer 2007, Clim. Dynam., 36, 11–12, https://doi.org/10.1007/s00382-010-0809-z, 2103-2112, 2011.
Hakkinen, S., Proshutinsky, A., and Ashik, I.: Sea ice drift in the Arctic since the 1950s, Geophys. Res. Lett., 35, L19704, https://doi.org/10.1029/2008GL034791, 2008.
Hansen, E., Gerland, S., Granskog, M., Pavlova, O., Renner, A., Haapala, J., Løyning, T., and Tschudi, M.: Thinning of Arctic sea ice observed in Fram Strait: 1990–2011, J. Geophys. Res.-Oceans, 118, 5202–5221, https://doi.org/10.1002/jgrc.20393, 2013.
Hilmer, M. and Jung, T.: Evidence for a recent change in the link between the North Atlantic Oscillation and Arctic sea ice export, Geophys. Res. Lett., 27, 989–992, 2000.
Hutchings, J. K. and Perovich, D. K.: Preconditioning of the 2007 sea-ice melt in the eastern Beaufort Sea, Arctic Ocean, Ann. Glaciol., 56, 94–98, https://doi.org/10.3189/2015AoG69A006, 2015.
Isachsen, P. E., La Casce, J., Mauritzen, C., and Häkkinen, S.: Wind driven variability of the large-scale recirculating flow in the Nordic Seas and Arctic Ocean, J. Phys. Oceanogr., 33, 2534–2550, 2003.
Kay, J. E., Holland, M. M., and Jahn, A.: Inter-annual to multi-decadal Arctic sea ice extent trends in a warming world, Geophys. Res. Lett., 38, L15708, https://doi.org/10.1029/2011GL048008, 2011.
Kloster, K. and Sandven, S.: Ice Motion and Ice Area Flux in the Fram Strait at 79-81N, Technical Report, 322d, Nansen Environmental and Remote Sensing Center, Bergen, Norway, https://www.nersc.no/sites/www.nersc.no/files/NERSC-TecRep-322d(2015).pdf, 2015.
Krumpen, T., Gerdes, R., Haas, C., Hendricks, S., Herber, A., Selyuzhenok, V., Smedsrud, L., and Spreen, G.: Recent summer sea ice thickness surveys in Fram Strait and associated ice volume fluxes, The Cryosphere, 10, 523–534, https://doi.org/10.5194/tc-10-523-2016, 2016
Kwok, R.: Outflow of Arctic Ocean sea ice into the Greenland and Barents Seas: 1979–2007, J. Clim., 22, 2438–2457, 2009.
Kwok, R. and Cunningham, G. F.: Contribution of melt in the Beaufort Sea to the decline in Arctic multiyear sea ice coverage: 1993–2009, Geophys. Res. Lett., 37, L20501, https://doi.org/10.1029/2010GL044678, 2010.
Kwok, R., Spreen, G., and Pang, S.: Arctic sea ice circulation and drift speed: Decadal trends and ocean currents, J. Geophys. Res.-Oceans, 118, 2408–2425, 2013.
Landy, J. C., Ehn, J. K., and Barber, D. G.: Albedo feedback enhanced by smoother Arctic sea ice, Geophys. Res. Lett., 42, 10714–10720, https://doi.org/10.1002/2015GL066712, 2015.
Langehaug, H. R., Geyer, F., Smedsrud, L. H., and Gao, Y.: Arctic sea ice decline and ice export in the CMIP5 historical simulations, Ocean Model., 71, 114–126, https://doi.org/10.1016/j.ocemod.2012.12.006, 2013.
Lindsay, R. and Schweiger, A.: Arctic sea ice thickness loss determined using subsurface, aircraft, and satellite observations, The Cryosphere, 9, 269–283, https://doi.org/10.5194/tc-9-269-2015, 2015.
Markus, T., Stroeve, J. C., and Miller, J.: Recent changes in Arctic sea ice melt onset, freezeup, and melt season length, J. Geophys. Res., 114, C12024, https://doi.org/10.1029/2009JC005436, 2009.
Nghiem, S., Rigor, I., Perovich, D., Clemente-Colón, P., Weatherly, J., and Neumann, G.: Rapid reduction of Arctic perennial sea ice, Geophys. Res. Lett., 34, L19504, https://doi.org/10.1029/2007GL031138, 2007.
Perovich, D. K., Light, B., Eicken, H., Jones, K. F., Runciman, K., and Nghiem, S. V.: Increasing solar heating of the Arctic Ocean and adjacent seas, 1979–2005: Attribution and role in the icealbedo feedback, Geophys. Res. Lett., 34, L19505, https://doi.org/10.1029/2007GL031480, 2007.
Rampal, P., Weiss, J., and Marsan, D.: Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979–2007, J. Geophys. Res., 114, C05013, https://doi.org/10.1029/2008JC005066, 2009.
Rigor, I. G., Wallace, J. M., and Colony, R. L.: Response of Sea Ice to the Arctic Oscillation, J. Clim., 15, 2648–2663, 2002.
Schröder, D., Feltham, D. L., Flocco, D., and Tsamados, M.: September Arctic sea-ice minimum predicted by spring meltpond fraction, Nature Climate Change, 4, 353–357, 2014.
Serreze, M. C., Barrett, A. P., Slater, A. J., Steele, M., Zhang, J., and Trenberth, K. E.: The large-scale energy budget of the Arctic, J. Geophys. Res., 112, D11122, https://doi.org/10.1029/2006JD008230, 2007.
Smedsrud, L. H., Sirevaag, A., Kloster, K., Sorteberg, A., and Sandven, S.: Recent wind driven high sea ice area export in the Fram Strait contributes to Arctic sea ice decline, The Cryosphere, 5, 821–829, https://doi.org/10.5194/tc-5-821-2011, 2011.
Smedsrud, L. H., Esau, I., Ingvaldsen, R.B., Eldevik, T., Haugan, P.M., Li, C., Lien, V. S., Olsen, A., Omar, A. M., Otterå, O. H., Risebrobakken, B., Sandø, A. B., Semenov, V. A., and Sorokina, S. A.: The role of the Barents Sea in the Arctic climate system, Rev. Geophys., 51, 415–449, https://doi.org/10.1002/rog.20017, 2013.
Spreen, G., Kern, S., Stammer, D., and Hansen, E.: Fram Strait sea ice volume export estimated between 2003 and 2008 from satellite data, Geophys. Res. Lett., 36, L19502, https://doi.org/10.1029/2009GL039591, 2009.
Spreen, G., Kwok, R., and Menemenlis, D.: Trends in Arctic sea ice drift and role of wind forcing: 1992–2009, Geophys. Res. Lett., 38, L19502, https://doi.org/10.1029/2009GL039591, 2011.
Stroeve, J. C., Kattsov, V., Barrett, A., Serreze, M., Pavlova, T., Holland, M., and Meier, W. N.: Trends in Arctic sea ice extent from CMIP5, CMIP3 and observations, Geoph. Res. Lett., 39, L16502, https://doi.org/10.1029/2012GL052676, 2012.
Stroeve, J. C., Markus, T., Boisvert, L., Miller J., and Barrett, A.: Changes in Arctic melt season and implications for sea ice loss, Geophys. Res. Lett., 41, 1216–1225, https://doi.org/10.1002/2013GL058951, 2014.
Stroeve, J. C. and Notz, D.: Insights on past and future sea-ice evolution from combining observations and models, Glob. Planet. Change 135, 119–132, https://doi.org/10.1016/j.gloplacha.2015.10.011, 2015.
Thorndike, A. and Colony, R.: Sea ice motion in response to geostrophic winds, J. Geophys. Res.-Oceans, 87, 5845–5852, 1982.
Tsukernik, M., Deser, C., Alexander M., and Tomas, R.: Atmospheric forcing of Fram Strait sea ice export: a closer look, Clim. Dynam., 35, 1349–1360, https://doi.org/10.1007/s00382-009-0647-z, 2010.
van Angelen, J. H., van den Broeke, M. R., and Kwok, R.: The Greenland Sea Jet: A mechanism for wind-driven sea ice export through Fram Strait, Geophys. Res. Lett., 38, L12805, https://doi.org/10.1029/2011GL047837, 2011.
Vihma, T.: Effects of Arctic Sea Ice Decline on Weather and Climate: A Review, Surv. Geophys., 35, 1175–1214, https://doi.org/10.1007/s10712-014-9284-0, 2014.
Walsh, J. E., Chapman, W. L., and Fetterer, F.: Gridded monthly sea ice extent and concentration, 1850 onwards, Boulder, Colorado USA, National Snow and Ice Data Center, Digital media, 2015.
Walsh, J. E., Fetterer, F., Scott Stewart, J., and Chapman, W. L.: A database for depicting Arctic sea ice variations back to 1850, Geogr. Rev., 107, 89–107, https://doi.org/10.1111/j.1931-0846.2016.12195.x, 2017.
Wang, J., Zhang, J., Watanabe, E., Ikeda, M., Mizobata, K., Walsh, J. E., Bai, X., and Wu, B.: Is the Dipole Anomaly a major driver to record lows in Arctic summer sea ice extent?, Geophys. Res. Lett., 36, L05706, https://doi.org/10.1029/2008GL036706, 2009.
Wettstein, J. J. and Deser, C.: Internal variability in projections of twenty-first-century Arctic sea ice loss: Role of the large-scale atmospheric circulation, J. Clim., 27, 527–550, 2014.
Widell, K., Østerhus, S., and Gammelsrød, T.: Sea ice velocity in the Fram Strait monitored by moored instruments, Geophys. Res. Lett., 30, 1982, https://doi.org/10.1029/2003GL018119, 2003.
Williams, J. Tremblay, B., and Newton, R.: Dynamic preconditioning of the September sea-ice extent minimum, J. Clim., 29, 5879–5891, https://doi.org/10.1175/JCLI-D-15-0515.1, 2016.
Wu, B., Wang, J., and Walsh, J. E.: Dipole anomaly in the winter Arctic atmosphere and its association with sea ice motion, J. Clim., 19, 210–225, 2016.
Zhang, R.: Mechanisms for low-frequency variability of summer Arctic sea ice extent, P. Natl. Acad. Sci. USA, 112, 4570–4575, 2015.
Zwally, H. J. and Gloersen, P.: Arctic sea ice surviving the summer melt: interannual variability and decreasing trend, J. Glaciol., 54, 279–296, 2008.
Zygmuntowska, M., Rampal, P., Ivanova, N., and Smedsrud, L. H.: Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends, The Cryosphere, 8, 705–720, https://doi.org/10.5194/tc-8-705-2014, 2014.
Short summary
Export of Arctic sea ice area southwards through the Fram Strait from 1935 to 2014 is calculated based on satellite radar images and surface pressure observations. The annual mean export is 880 000 km2, representing 10 % of the Arctic sea ice area. In recent years the export has been above 1 million km2, and there are positive trends over the last 30 years. Increased ice export during spring and summer contributes to more open water in September, and this correlations has increased over time.
Export of Arctic sea ice area southwards through the Fram Strait from 1935 to 2014 is calculated...
