400 predictions: the SEARCH Sea Ice Outlook 2008–2015

References

• Blanchard-Wrigglesworth, E., Bitz, C. M., and Holland, M. M. (2011). Influence of initial conditions and climate forcing on predicting Arctic sea ice. Geophysical Research Letters, 38(18). doi:10.1029/2011GL048807
   Web of Science ®Google Scholar
• Blanchard-Wrigglesworth, E., Cullather, R. I., Wang, W., Zhang, J., & Bitz, C. M. (2015). Model forecast skill and sensitivity to initial conditions in the seasonal Sea Ice Outlook. Geophysical Research Letters, 42(19), 8042–8048. doi:10.1002/2015GL065860
   Web of Science ®Google Scholar
• Cavalieri, D. J., Gloersen, P., & Campbell, W. J. (1984). Determination of sea ice parameters with the NIMBUS-7 SMMR. Journal of Geophysical Research: Atmospheres, 89(D4), 5355–5369. doi: 10.1029/JD089iD04p05355
   Web of Science ®Google Scholar
• Chevallier, M., & Salas-Melia, D. (2012). The role of sea ice thickness distribution in the Arctic sea ice potential predictability: A diagnostic approach with a coupled GCM. Journal of Climate, 25, 3025–3038. doi:10.1175/JCLI-D-11-00209.1
   Web of Science ®Google Scholar
• Comiso, J. C. (1986). Characteristics of Arctic winter sea ice from satellite multispectral microwave observations. Journal of Geophysical Research, 91. doi:10.1029/JC091iC01p00975
   Web of Science ®Google Scholar
• Comiso, J. C. (2012). Large decadal decline of the Arctic multiyear ice cover. Journal of Climate, 25, 1176–1193. doi: 10.1175/JCLI-D-11-00113.1
   Web of Science ®Google Scholar
• Day, J., Hawkins, E., & Tietsche, S. (2014). Will Arctic sea ice thickness initialization improve seasonal forecast skill? Geophysical Research Letters, 41, 7566–7575. doi:10.1002/2014GL061694
   Web of Science ®Google Scholar
• Emmerson, C., & Lahn, G. (2012). Arctic opening: Opportunity and risk in the high North. Chatham House-Lloyd’s Risk Insight Report. Retrieved from https://www.chathamhouse.org/publications/papers/view/182839#
   Google Scholar
• Francis, J. A., & Vavrus, S. J. (2012). Evidence linking Arctic amplification to extreme weather events in the mid-latitudes. Geophysical Research Letters, 39, n/a–n/a. doi:10.1029/2012GL051000
   Web of Science ®Google Scholar
• Guemas, V., Blanchard-Wrigglesworth, E., Chevallier, M., Day, J. J., Deque, M., Doblas-Reyes, F. J., … Tietsche, S. (2014). A review on Arctic sea ice predictability and prediction on seasonal-to-decadal timescales. Quarterly Journal of the Royal Meteorological Society, 142, 546–561. doi:10.1002/qj.2401
   Web of Science ®Google Scholar
• Haas, C., Pfaffling, A., Hendricks, S., Rabenstein, L., Etienne, J.-L., & Rigor, I. (2008). Reduced ice thickness in Arctic Transpolar drift favors rapid ice retreat. Geophysical Research Letters, 35, L107501. doi:10.1029/2008GL034457
   Google Scholar
• Hamilton, L. C., Bitz, C. M., Blanchard-Wrigglesworth, E., Cutler, M., Kay, J., Meier, W.,  … Wiggins, H. (2014). Sea ice prediction has easy and difficult years. Witness the Arctic Spring, 3–7. Fairbanks, AK: Arctic Research Consortium of the U.S. Retrieved January 19, 2016, from http://www.arcus.org/witness-the-arctic/2014/2/article/21066
   Google Scholar
• Hamilton, L. C., Saito, K., Loring, P. A., Lammers, R. B., & Huntington, H. P. (2016). Climigration? Population and climate change in Arctic Alaska. Population and Environment. doi:10.1007/s11111-016-0259-6
   Google Scholar
• Holland, M. M., Bailey, D. A., & Vavrus, S. (2010). Inherent sea ice predictability in the rapidly changing Arctic environment of the community climate system model, version 3. Climate Dynamics, 36, 1239–1253. doi:10.1007/s00382-010-0792-4
   Web of Science ®Google Scholar
• Jung, T., Gordon, N. D., Bauer, P., Bromwich, D. H., Chevallier, M., Day, J. J., … Yang, Q. (2016). Advancing polar prediction capabilities on daily to seasonal time scales. Bulletin of the American Meteorological Society. doi: 101175/BAMS-D-14-00246.1
   Google Scholar
• Juricke, S., Goessling, H. F., & Jung, T. (2014). Potential sea ice predictability and the role of stochastic sea ice strength perturbations. Geophysical Research Letters, 41, 8396–8403. doi:10.1002/2014GL062081
   Web of Science ®Google Scholar
• Kaleschke, L., Tian-Kunze, X., Maass, N., M¨akynen, M., & Drusch, M. (2012). Sea ice thickness retrieval from SMOS brightness temperatures during the Arctic freeze-up period. Geophysical Research Letters, 39, n/a–n/a. doi:10.1029/2012GL050916
   Web of Science ®Google Scholar
• Khon, V. C., Mokhov, I. I., Pogarskiy, F. A., Babanin, A., Dethloff, K., Rinke, A., … Matthes, H. (2014). Wave heights in the 21st century Arctic Ocean simulated with a regional climate model. Geophysical Research Letters, 41, 2956–2961. doi:10.1002/2014GL059847
   Web of Science ®Google Scholar
• Koenker, R. (2005). Quantile regression. New York: Cambridge University Press.
   Google Scholar
• Kwok, R. (2010). Satellite remote sensing of sea ice thickness and kinematics: A review. Journal of Glaciology, 56, 1129–1140. doi: 10.3189/002214311796406167
   Web of Science ®Google Scholar
• Laxon, S. W., Giles, K. A., Ridout, A. L., Wingham, D. J., Willatt, R., Cullen, R., … Davidson, M. (2013). CryoSat-2 estimates of Arctic sea ice thickness and volume. Geophysical Research Letters, 40(4), 732–737. doi:10.1002/grl.50193
   Web of Science ®Google Scholar
• Lindsay, R., Haas, C., Hendricks, S., Hunkeler, P., Kurtz, N., Paden, J., … Zhang, J. (2012). Seasonal forecasts of Arctic sea ice initialized with observations of ice thickness. Geophysical Research Letters, 39(21), n/a–n/a. doi:10.1029/2012GL053576B
   Google Scholar
• Massonnet, F., Fichefet, T., & Goose, H. (2015). Prospects for improved seasonal Arctic sea ice predictions from multivariate data assimilation. Ocean Modelling, 88, 16–25. doi: //10.1016/j.ocemod.2014.12.013
   Web of Science ®Google Scholar
• Msadek, R., Vecchi, G., Winton, M., & Gudgel, R. (2014). Importance of initial conditions in seasonal predictions of Arctic sea ice extent. Geophysical Research Letters, 41, 5208–5215. doi:10.1002/2014GL060799
   Web of Science ®Google Scholar
• National Snow and Ice Data Center. (2015). Sea ice index. National Snow and Ice Data Center. Retrieved February 1, 2016, from https://nsidc.org/data/seaice_index/
   Google Scholar
• Perovich, D. K., Richter-Menge, J. A., Jones, K. F., & Light, B. (2008). Sunlight, water and ice: Extreme Arctic sea ice melt during the summer of 2007. Geophysical Research Letters, 35, L11501. doi:10.1029/2008GL034007
   Web of Science ®Google Scholar
• Rampal, P., Weiss, J., Marsan, D., & Bourgoin, M. (2009). Arctic sea ice velocity field: General circulation and turbulent like fluctuations. Journal of Geophysical Research, 114, C10014. doi:10.1029/2008/C005227
   Google Scholar
• Sea Ice Prediction Network. (2015a). Sea ice outlook. Arctic Research Consortium of the U.S. Retrieved February 1, 2016, from https://www.arcus.org/sipn/sea-ice-outlook
   Google Scholar
• Sea Ice Prediction Network. (2015b). September Sea ice outlook: Post-season report. Arctic Research Consortium of the U.S. Retrieved February 1, 2016, from https://www.arcus.org/sipn/sea-ice-outlook/2015/post-season
   Google Scholar
• Sea Ice Prediction Network. (2016). SIPN: Sea ice prediction network. Arctic Research Consortium of the U.S. Retrieved March 4, 2016, from https://www.arcus.org/sipn
   Google Scholar
• Simmonds, I. (2015). Comparing and contrasting the behaviour of Arctic and Antarctic sea ice over the 35 year period 1979–2013. Annals of Glaciology, 56(69), 18–28. doi:10.3189/2015AoG69A909
   Web of Science ®Google Scholar
• Stephenson, S. R., Smith, L. C., Brigham, L. W., & Agnew, J. A. (2013). Projected 21st-century changes to Arctic marine access. Climatic Change, 118(3), 885–899. doi:10.1007/s10584-012-0685-0
   Web of Science ®Google Scholar
• Stroeve, J., Blanchard-Wrigglesworth, E., Guemas, V., Howell, S., Massonnet, F., & Tietsche, S. (2015). Improving predictions of Arctic sea ice extent. Eos, 96. doi:10.1029/2015EO031431
   Google Scholar
• Stroeve, J., Hamilton, L. C., Bitz, C. M., & Blanchard-Wrigglesworth, E. (2014). Predicting September sea ice: Ensemble skill of the SEARCH Sea ice outlook. Geophysical Research Letters, 41, 2411–2418. doi:10.1002/2014GL059388
   Web of Science ®Google Scholar
• Stroeve, J. C., Markus, T., Boisvert, L., Miller, J., & Barrett, A. (2014). Changes in Arctic melt season and implications for sea ice loss. Geophysical Research Letters, 41(4), 1216–1225. doi:10.1002/2013GL058951
   Web of Science ®Google Scholar
• Stroeve, J., & Notz, D. (2015). Insights on past and future sea-ice evolution from combining observations and models. Global and Planetary Change, 135, 119–132. doi:10.1016/j.gloplacha.2015.10.011
   Google Scholar
• Stroeve, J. C., Serreze, M. C., Kay, J. E., Holland, M. M., Meier, W. N., & Barrett, A. P. (2012). The Arctic’s rapidly shrinking sea ice cover: A research synthesis. Climatic Change, 110(3), 1005–1027. doi:10.1007/s10584-011-0101-1
   Web of Science ®Google Scholar
• Study of Environmental Arctic Change. (2016). SEARCH: Study of Environmental Arctic Change. Arctic Research Consortium of the U.S. Retrieved March 4, 2016, from https://www.arcus.org/search-program
   Google Scholar
• Zhang, J., Lindsay, R., Schweiger, A., & Steele, M. (2013). The impact of an intense summer cyclone on 2012 Arctic sea ice retreat. Geophysical Research Letters, 40(4), 720–726. doi:10.1002/grl.50190
   Web of Science ®Google Scholar