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5 - Numerical simulation

Published online by Cambridge University Press:  07 December 2009

S. Grønås
Affiliation:
Allegt. 70, Geofysisk Institutt, University of Bergen, 5007 Bergen, Norway
E. Raustein
Affiliation:
Allegt. 70, Geofysisk Institutt, University of Bergen, 5007 Bergen, Norway
G. Heinemann
Affiliation:
Meteorologisches Institut der Universität Bonn, Auf dem Hugel 20, 53121 Bonn 1, Germany
Erik A. Rasmussen
Affiliation:
University of Copenhagen
John Turner
Affiliation:
British Antarctic Survey, Cambridge
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Summary

The Arctic

Introduction

Numerical models of the atmosphere, which predict future conditions from an analysis of an initial state, have proved to be a tool of growing importance in the study and forecasting of polar lows. To some degree, the life cycles of some polar lows are now simulated operationally by numerical weather prediction (NWP) centres. Some special cases of polar lows have been simulated more extensively in an a posteriori, non-operational mode with models suited for this purpose. Such simulations have provided a new form of data for the study of the formation and evolution of these vortices.

The history of the development of NWP, along with the growth of computing capacity in super-computers, is well known. For a long time the resolution of the numerical models was too coarse to describe polar lows. A breakthrough for the simulation of polar lows came in a polar low project organized by the Norwegian Meteorological Institute (DNMI) in the first half of the 1980s (Lystad, 1986; Rasmussen and Lystad, 1987). As part of this project, a mesoscale NWP system was established (Grønås et al., 1987b; Grønås and Hellevik, 1982; Nordeng, 1986), which gave the first realistic numerical simulations of polar lows (Grønås et al., 1987a; Nordeng, 1987). As operational NWP systems were further developed, reliable guidance for the prediction of polar lows was eventually advanced at several meteorological centres.

Type
Chapter
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Polar Lows
Mesoscale Weather Systems in the Polar Regions
, pp. 405 - 500
Publisher: Cambridge University Press
Print publication year: 2003

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  • Numerical simulation
    • By S. Grønås, Allegt. 70, Geofysisk Institutt, University of Bergen, 5007 Bergen, Norway, E. Raustein, Allegt. 70, Geofysisk Institutt, University of Bergen, 5007 Bergen, Norway, G. Heinemann, Meteorologisches Institut der Universität Bonn, Auf dem Hugel 20, 53121 Bonn 1, Germany
  • Edited by Erik A. Rasmussen, University of Copenhagen, John Turner, British Antarctic Survey, Cambridge
  • Book: Polar Lows
  • Online publication: 07 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511524974.006
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  • Numerical simulation
    • By S. Grønås, Allegt. 70, Geofysisk Institutt, University of Bergen, 5007 Bergen, Norway, E. Raustein, Allegt. 70, Geofysisk Institutt, University of Bergen, 5007 Bergen, Norway, G. Heinemann, Meteorologisches Institut der Universität Bonn, Auf dem Hugel 20, 53121 Bonn 1, Germany
  • Edited by Erik A. Rasmussen, University of Copenhagen, John Turner, British Antarctic Survey, Cambridge
  • Book: Polar Lows
  • Online publication: 07 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511524974.006
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Numerical simulation
    • By S. Grønås, Allegt. 70, Geofysisk Institutt, University of Bergen, 5007 Bergen, Norway, E. Raustein, Allegt. 70, Geofysisk Institutt, University of Bergen, 5007 Bergen, Norway, G. Heinemann, Meteorologisches Institut der Universität Bonn, Auf dem Hugel 20, 53121 Bonn 1, Germany
  • Edited by Erik A. Rasmussen, University of Copenhagen, John Turner, British Antarctic Survey, Cambridge
  • Book: Polar Lows
  • Online publication: 07 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511524974.006
Available formats
×