Impact of Laptev sea flaw polynyas on the atmospheric boundary layer and ice production using idealized mesoscale simulations

Polar Research

Volumn 30, Issue SUPPL.1, 2011, Pages

  Ebner, Lars ^a   Schröder, David ^a,b   Heinemann, Günther ^a  

^a UNIVERSITY OF TRIER   (Germany)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Laptev sea; Mesoscale modelling; Polynyas; Sea ice production

Indexed keywords

AIR-SEA INTERACTION; ATMOSPHERIC MODELING; BOUNDARY LAYER; COMPUTER SIMULATION; MESOSCALE METEOROLOGY; SEA ICE; THERMODYNAMICS; WINTER;

ARCTIC OCEAN; LAPTEV SEA;

EID: 79956086320     PISSN: 08000395     EISSN: 17518369     Source Type: Journal    
DOI: 10.3402/polar.v30i0.7210     Document Type: Article

References (36)

1. Barber D.G. & Massom R.A. 2007. The role of sea ice in Arctic and Antarctic polynyas. In W.O. Smith Jr. & D.G. Barber (eds.): Polynyas: windows to the world. Pp. 1-43. Amsterdam: Elsevier.
2. Bareiss J. & Görgen K. 2005. Spatial and temporal variability of sea ice in the Laptev Sea: analyses and review of satellite passive-microwave data and model results, 1979 to 2002. Global and Planetary Change 48, 28-54.
3. Charnock H. 1955. Wind stress over a water surface. The Quarterly Journal of the Royal Meteorological Society 81, 639-640.
4. Dare R.A. & Atkinson B.W. 2000. Atmospheric response to spatial variations in concentration and size of polynyas in the southern ocean sea-ice zone. Boundary-Layer Meteorology 94, 65-88.
5. Dethleff D., Loewe P. & Kleine E. 1998. The Laptev Sea flaw lead-detailed investigation on ice formation and export during 1991/1992 winter season. Cold Regions Science and Technology 27, 225-243.
6. Dmitrenko I.A., Tyshko K.N., Kirillov S.A., Eicken H., Hölemann J.A. & Kassens H. 2005. Impact of flaw polynyas on the hydrography of the Laptev Sea. Global and Planetary Change 48, 9-27.
7. Doms G., Föstner J., Heise E., Herzog H-J., Raschendorfer M., Reinhardt T., Ritter B., Schrodin R., Schulz J.-P. & Vogel G. 2007. Description of the nonhydrostatic regional model LM. Part II: physical parameterization. Offenbach om Main, Germany: Deutscher Wetterdienst.
8. Esau I.N. 2007. Amplification of turbulent exchange over wide Arctic leads: large-eddy simulation study. Journal of Geophysical Research-Atmospheres 112, D08109, doi: s10.1029/ 2006JD007225.
9. Galleé H. 1997. Air-sea interactions over Terra Nova Bay during winter: simulation with a coupled atmosphere- polynya model. Journal of Geophysical Research-Atmospheres 102, 13835-13849.
10. Hastings D.A., Dunbar P.K., Elphingstone G.M., Bootzan M., Murakami H., Maruyama H., Masaharu H., Holland P., Payne J., Bryant N.A., Logan T.L., Muller J.-P., Schreier G. & MacDonald J.S. 1999. The Global Land One-Kilometre Base Elevation (GLOBE) digital elevation model. Version 1.0. Boulder, CO: National Geophysical Data Centre, National Oceanic and Atmospheric Administration. (eds.)
11. Hebbinghaus H. & Heinemann G. 2006. LM simulations of the Greenland boundary layer, comparison with local measurements and SNOWPACK simulations of drifting snow. Cold Regions Science and Technology 46, 36-51.
12. Hebbinghaus H., Schlünzen H. & Dierer S. 2007. Sensitivity studies on vortex development over a polynya. Theoretical and Applied Climatology 88, 1-16.
13. Heinemann G. 1996. On the development of wintertime mesoscale cyclones near the sea ice front in the Arctic and Antarctic. The Global Atmosphere and Ocean System 4, 89-123.
14. Heinemann G. 1997. Idealized simulations of the Antarctic katabatic wind system with a three-dimensional mesoscale model. Journal of Geophysical Research-Atmospheres 102, 13825-13834.
15. Heinemann G. 2003. Forcing and feedback mechanisms between the katabatic wind and sea ice in the coastal areas of polar ice sheets. The Global Atmosphere and Ocean System 9, 169-201.
16. Heinemann G. & Klein T. 2003. Simulations of topographically forced mesocyclones in the Weddell Sea and the Ross Sea region of Antarctica. Monthly Weather Review 131, 302-316.
17. Heise E., Ritter B. & Schrodin R. 2006. Operational implementation of the multilayer soil model. COSMO Technical Reports No. 9. Offenbach am Main, Germany: Consortium for Small-Scale Modelling.
18. Johnson M.A. & Polyakov I.V. 2001. The Laptev Sea as a source for recent Arctic Ocean salinity changes. Geophysical Research Letters 28, 2017-2020.
19. Kineman J. & Hastings D. 1992. Monthly generalized global vegetation index from NESDIS NOAA-9 weekly GVI data (Apr 1985-Dec 1988). Boulder, CO: National Geophysical Data Centre, National Oceanic and Atmospheric Administration.
20. Klein T. & Heinemann G. 2001. On the forcing mechanisms of mesocyclones in the eastern Weddell Sea region, Antarctica: process studies using a mesoscale numerical model. Meteorologische Zeitschrift 10, 113-122.
21. Klein T., Heinemann G. & Gross P. 2001. Simulation of the katabatic flow near the Greenland ice margin using ahigh-resolution non-hydrostatic model. Meteorologische Zeitschrift 10, 331-339.
22. Lüpkes C., Gryanik V.M., Witha B., Gryschka M., Raasch S. & Gollnik T. 2008. Modelling convection over Arctic leads with LES and a non-eddy-resolving micro-scale model. Journal of Geophysical Research-Oceans 113, C09028, doi: 10.1029/2007JC004099.
23. Lüpkes C., Vihma T., Birnbaum G. & Wacker U. 2008. Influence of leads in sea ice on the temperature of the atmospheric boundary layer during polar night. Geophysical Research Letters 35, L03805, doi: 10.1029/2007GL032461.
24. Massom R.A, Harris P.T., Michael K. & Potter M.J. 1998. The distribution and formative processes of latent heat polynyas in East Antarctica. Annals of Glaciology 27, 420-426.
25. Parmiggiani F. 2006. Fluctuations of Terra Nova Bay polynya as observed by active (ASAR) and passive (AMSR-E) microwave radiometers. International Journal of Remote Sensing 27, 2459-2469.
26. Pease C.H. 1987. The size of wind-driven coastal polynyas. Journal of Geophysical Research-Oceans 92, 7049-7059.
27. Ritter B. & Geleyn J.F. 1992. A comprehensive radiation scheme for numerical weather prediction models with potential applications in climate simulations. Monthly Weather Review 120, 303-325.
28. Schröder D., Heinemann G. & Willmes S. 2011. The impact of a thermodynamic sea-ice module in the COSMO numerical weather prediction model on simulations for the Laptev Sea, Siberian Arctic. Polar Research 30, article no. 6334, doi: 10.3402/polar.v30i0.6334 (this volume).
29. Spreen G., Kaleschke L. & Heygster G. 2007. Sea ice remote sensing using AMSR-E 89 GHz channels. Journal of Geophysical Research-Oceans 113, C02S03, doi: 10.1029/2005JC003384.
30. Steppeler J., Doms G., Schättler U., Bitzer H.W., Gassmann A., Damrath U. & Gregoric G. 2003. Meso-gamma scale forecasts using the non-hydrostatic model LM. Meteorology and Atmospheric Physics 82, 75-96.
31. Tietdke M. 1989. A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Monthly Weather Review 117, 1779-1800.
32. Wacker U., Jayaraman Potty K.V., Lüpkes C., Hartmann J. & Raschendorfer M. 2005. A case study on a polar cold air outbreak over Fram Strait using a mesoscale weather prediction model. Boundary-Layer Meteorology 117, 301-336.
33. Weinbrecht S. & Raasch S. 2001. High-resolution simulations of the turbulent flow in the vicinity of an Arctic lead. Journal of Geophysical Research-Oceans 106, 27035-27046.
34. Willmes S., Adams S., Schröder D. & Heinemann G. 2011. Spatio-temporal variability of polynya dynamics and ice production in the Laptev Sea between the winters of 1979/80 and 2007/08. Polar Research 30, article no. 5971, doi: 10.3402/polar.v30i0.5971 (this volume).
35. Zakharov V.F. 1966. The role of flaw leads off the edge of fast ice in the hydrological and ice regime of the Laptev Sea. Oceanology 6, 815-821.
36. Zobler L. 1986. A world soil file for global climate modelling. NASA Technical Memorandum 87802. Washington, DC: National Aeronautical and Space Administration.