The Potential for Seasonal Forecasting of Winter Wave Heights in the Northern North Sea

Andrew W. Colman Met Office Hadley Centre, Exeter, United Kingdom

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Erika J. Palin Met Office Hadley Centre, Exeter, United Kingdom

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Michael G. Sanderson Met Office Hadley Centre, Exeter, United Kingdom

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Robert T. Harrison Met Office Hadley Centre, Exeter, United Kingdom

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Ian M. Leggett Shell Exploration and Production in Europe, Aberdeen, United Kingdom

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Abstract

The height of waves at North Sea oil and gas installations is an important factor governing the degree to which operational activities may be undertaken at those facilities. A link between the North Atlantic Oscillation (NAO) and winter (defined as December–February) wave heights at North Sea oil and gas installations has been established. A tool has been developed that uses a forecast NAO index to predict the proportions of wave heights in four categories that could be used to assess the operational downtime that will be experienced in the coming winter. The wave height forecasting system is shown to have useful skill in predicting the probability of occurrence of a stormy winter, and therefore probability forecasts provide a potentially useful guide to whether more or less disruption than the “climatological mean” might be experienced. The main limit on the skill of the wave forecasts is our very limited ability to accurately predict the NAO index on seasonal time scales.

Current affiliation: OceanExpert Ltd., East Lothian, United Kingdom.

Corresponding author address: Michael G. Sanderson, Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United Kingdom. E-mail: michael.sanderson@metoffice.gov.uk

Abstract

The height of waves at North Sea oil and gas installations is an important factor governing the degree to which operational activities may be undertaken at those facilities. A link between the North Atlantic Oscillation (NAO) and winter (defined as December–February) wave heights at North Sea oil and gas installations has been established. A tool has been developed that uses a forecast NAO index to predict the proportions of wave heights in four categories that could be used to assess the operational downtime that will be experienced in the coming winter. The wave height forecasting system is shown to have useful skill in predicting the probability of occurrence of a stormy winter, and therefore probability forecasts provide a potentially useful guide to whether more or less disruption than the “climatological mean” might be experienced. The main limit on the skill of the wave forecasts is our very limited ability to accurately predict the NAO index on seasonal time scales.

Current affiliation: OceanExpert Ltd., East Lothian, United Kingdom.

Corresponding author address: Michael G. Sanderson, Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, United Kingdom. E-mail: michael.sanderson@metoffice.gov.uk
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  • Arribas, A., and Coauthors, 2010: The GloSea4 ensemble prediction system for seasonal forecasting. Mon. Wea. Rev., 139, 18911910.

  • Bell, C. J., Gray L. J. , Charlton-Perez A. J. , Joshi M. M. , and Scaife A. A. , 2009: Stratospheric communication of El Niño teleconnections to European winter. J. Climate, 22, 40834096.

    • Search Google Scholar
    • Export Citation
  • Bocquet, F.-X., 2010: Development of a wave ensemble system at the Met Office. Proc. 11th Int. Workshop on Wave Hindcasting and Forecasting and Coastal Hazard Symp., Halifax, NS, Canada, JCOMM Tech. Rep. 52, WMO/TD-1533, IOC Workshop Rep. 232. [Available online at http://www.waveworkshop.org/11thWaves/index.htm.]

    • Search Google Scholar
    • Export Citation
  • Cao, D., Chen H. , and Tolman H. , 2007: Verification of ocean wave ensemble forecast at NCEP. NOAA/NWS/NCEP/EMC/MMAB Tech. Note 261, 10 pp.

    • Search Google Scholar
    • Export Citation
  • de las Heras, M. M., Burgers G. , and Janssen P. A. E. M. , 1995: Wave data assimilation in the WAM wave model. J. Mar. Syst., 6, 7785, doi:10.1016/0924-7963(94)00019-8.

    • Search Google Scholar
    • Export Citation
  • Dykes, J. D., Wang D. W. , and Book J. W. , 2009: An evaluation of a high-resolution operational wave forecasting system in the Adriatic Sea. J. Mar. Syst., 78 (Suppl. 1), S255S271, doi:10.1016/j.marsys.2009.01.027.

    • Search Google Scholar
    • Export Citation
  • Folland, C. K., Scaife A. A. , Lindesay J. , and Stephenson D. B. , 2011: How potentially predictable is northern European winter climate a season ahead? Int. J. Climatol., doi:10.1002/joc.2314, in press.

    • Search Google Scholar
    • Export Citation
  • Hurrell, J. W., Kushnir Y. , and Visbeck M. , 2001: The North Atlantic Oscillation. Science, 291, 603605, doi:10.1126/science.1058761.

  • Ineson, S., and Scaife A. A. , 2009: The role of the stratosphere in the European climate response to El Niño. Nat. Geosci., 2, 3236, doi:10.1038/ngeo381.

    • Search Google Scholar
    • Export Citation
  • Jain, P., and Deo M. C. , 2007: Real time wave forecasts off the western Indian coast. Appl. Ocean Res., 29, 7279.

  • Junge, M. M., and Stephenson D. B. , 2003: Mediated and direct effects of the North Atlantic Ocean on winter temperatures in northwest Europe. Int. J. Climatol., 23, 245261.

    • Search Google Scholar
    • Export Citation
  • Kuzmina, S. I., Bengtsson L. , Johannessen O. M. , Drange H. , Bobylev L. P. , and Miles M. W. , 2005: The North Atlantic Oscillation and greenhouse-gas forcing. Geophys. Res. Lett., 32, L04703, doi:10.1029/2004GL021064.

    • Search Google Scholar
    • Export Citation
  • Marshall, A. G., and Scaife A. A. , 2009: Impact of the QBO on surface winter climate. J. Geophys. Res., 114, D18110, doi:10.1029/2009JD011737.

    • Search Google Scholar
    • Export Citation
  • Mason, S. J., and Graham N. E. , 1999: Conditional probabilities, relative operating characteristics, and relative operating levels. Wea. Forecasting, 14, 713725.

    • Search Google Scholar
    • Export Citation
  • Michailidou, C., Maheras P. , Arseni-Papadimititriou A. , Kolyva-Machera F. , and Anagnostopoulou C. , 2009: A study of weather types at Athens and Thessaloniki and their relationship to circulation types for the cold-wet period, part II: Discriminant analysis. Theor. Appl. Climatol., 97, 179194.

    • Search Google Scholar
    • Export Citation
  • Reeve, D., Chadwick A. , and Fleming C. , 2004: Coastal Engineering: Processes, Theory and Design Practice. Spon Press, 461 pp.

  • Rodwell, M. J., and Folland C. K. , 2002: Atlantic air–sea interaction and seasonal predictability. Quart. J. Roy. Meteor. Soc., 128, 14131443.

    • Search Google Scholar
    • Export Citation
  • Rodwell, M. J., Rowell D. P. , and Folland C. K. , 1999: Oceanic forcing of the wintertime North Atlantic Oscillation and European climate. Nature, 398, 320323.

    • Search Google Scholar
    • Export Citation
  • Saetra, Ø., and Bidlot J.-R. , 2004: Potential benefits of using probabilistic forecasts for waves and marine winds based on the ECMWF Ensemble Prediction System. Wea. Forecasting, 19, 673689.

    • Search Google Scholar
    • Export Citation
  • Scaife, A. A., Knight J. , Vallis G. , and Folland C. K. , 2005: A stratospheric influence on the winter NAO and North Atlantic surface climate. Geophys. Res. Lett., 32, L18715, doi:10.1029/2005GL023226.

    • Search Google Scholar
    • Export Citation
  • Siegismund, F., and Schrum C. , 2001: Decadal changes in the wind forcing over the North Sea. Climate Res., 18, 3945, doi:10.3354/cr018039.

    • Search Google Scholar
    • Export Citation
  • Stephenson, D. B., Pavan V. , Collins M. , Junge M. M. , and Quadrelli R. , 2006: North Atlantic Oscillation response to transient greenhouse gas forcing and the impact on European winter climate: A CMIP2 multi-model assessment. Climate Dyn., 27, 401420, doi:10.1007/s00382-006-0140-x.

    • Search Google Scholar
    • Export Citation
  • Tolman, H. L., 1992: Effects of numerics on the physics in a third-generation wind-wave model. J. Phys. Oceanogr., 22, 10951111.

  • Tolman, H. L., 2009: User manual and system documentation of WAVEWATCH III version 3.14. NOAA/NWS/NCEP/MMAB Tech. Note 276, 194 pp.

  • Tucker, M. J., and Pitt E. G. , 2001: Waves in Ocean Engineering. Elsevier Ocean Engineering Book Series, Vol. 5, Elsevier, 521 pp.

  • van Oldenborgh, G. J., 2005: Comments on “Predictability of winter climate over the North Atlantic European region during ENSO events.” J. Climate, 18, 27702772.

    • Search Google Scholar
    • Export Citation
  • Woolf, D. K., Challenor P. G. , and Cotton P. D. , 2002: Variability and predictability of the North Atlantic wave climate. J. Geophys. Res., 107, 3145, doi:10.1029/2001JC001124.

    • Search Google Scholar
    • Export Citation
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