Future Arctic marine access: analysis and evaluation of observations, models, and projections of sea ice

Author:

Rogers T. S.,Walsh J. E.,Rupp T. S.,Brigham L. W.,Sfraga M.

Abstract

Abstract. There is an emerging need for regional applications of sea ice projections to provide more accuracy and greater detail to scientists, national, state and local planners, and other stakeholders. The present study offers a prototype for a comprehensive, interdisciplinary study to bridge observational data, climate model simulations, and user needs. The study's first component is an observationally based evaluation of Arctic sea ice trends during 1980–2008, with an emphasis on seasonal and regional differences relative to the overall pan-Arctic trend. Regional sea ice loss has varied, with a significantly larger decline of winter maximum (January–March) extent in the Atlantic region than in other sectors. A lead–lag regression analysis of Atlantic sea ice extent and ocean temperatures indicates that reduced sea ice extent is associated with increased Atlantic Ocean temperatures. Correlations between the two variables are greater when ocean temperatures lag rather than lead sea ice. The performance of 13 global climate models is evaluated using three metrics to compare sea ice simulations with the observed record. We rank models over the pan-Arctic domain and regional quadrants and synthesize model performance across several different studies. The best performing models project reduced ice cover across key access routes in the Arctic through 2100, with a lengthening of seasons for marine operations by 1–3 months. This assessment suggests that the Northwest and Northeast Passages hold potential for enhanced marine access to the Arctic in the future, including shipping and resource development opportunities.

Publisher

Copernicus GmbH

Subject

Earth-Surface Processes,Water Science and Technology

Reference32 articles.

1. ACIA – Arctic Climate Impact Assessment: available at: http://www.acia.uaf.edu, last access: 26 March 2012, Cambridge University Press, Cambridge, 1024 pp., 2005.

2. AMSA – Arctic Marine Shipping Assessment: 2009 Report, available at: http://www.pame.is/amsa, last access: 26 March 2012, Arctic Council, Norwegian Chairmanship, Oslo, Norway, April 2009.

3. Arzel, O., Fichefet, T., and Goosse, H.: Sea ice evolution over the 20th and 21st centuries as simulated by current AOGCMs, Ocean Model., 12, 401–415, 2006.

4. Cavalieri, D., Parkinson, C., Gloersen, P., and Zwally, H. J.: Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I passive microwave data (1980–2007), National Snow and Ice Data Center, Digital Media, updated 2008, Boulder, CO, USA, 1996.

5. Comiso, J., Parkinson, C., Gersten, R., and Stock, L.: Accelerated decline in the Arctic sea ice cover, Geophys. Res. Lett., 35, L01703, https://doi.org/10.1029/2007GL031972, 2008.

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