Short-Range and Medium-Range Weather Forecasting in the Extratropics during Wintertime with and without an Interactive Ocean

Thomas Jung ECMWF, Reading, United Kingdom

Search for other papers by Thomas Jung in
Current site
Google Scholar
PubMed
Close
and
Frederic Vitart ECMWF, Reading, United Kingdom

Search for other papers by Frederic Vitart in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The ECMWF monthly forecasting system is used to investigate the impact that an interactive ocean has on short-range and medium-range weather predictions in the Northern Hemisphere extratropics during wintertime. On a hemispheric scale the predictive skill for mean sea level pressure (MSLP) with and without an interactive ocean is comparable. This can be explained by the relatively small impact that coupling has on MSLP forecasts. In fact, deterministic and ensemble integrations reveal that the magnitude of forecast error and the perturbation growth due to analysis uncertainties, respectively, by far outweigh MSLP differences between coupled and uncoupled integrations. Furthermore, no significant difference of the ensemble spread between the uncoupled and coupled system is found. The authors’ conclusions apply equally for a number of cases of rapidly intensifying extratropical cyclones in the North Atlantic region. Further experimentation with different atmospheric model versions, different horizontal atmospheric resolutions, and different ocean model formulation reveals the robustness of the findings. The results suggest that (for the cases, resolutions, and model complexities considered is this study) the benefit of using coupled atmosphere–ocean models to carry out 1–10-day MSLP forecasts is relatively small, at least in the Northern Hemisphere extratropics during wintertime.

Corresponding author address: Dr. Thomas Jung, ECMWF, Shinfield Park, Reading RG2 9AX, United Kingdom. Email: thomas.jung@ecmwf.int

Abstract

The ECMWF monthly forecasting system is used to investigate the impact that an interactive ocean has on short-range and medium-range weather predictions in the Northern Hemisphere extratropics during wintertime. On a hemispheric scale the predictive skill for mean sea level pressure (MSLP) with and without an interactive ocean is comparable. This can be explained by the relatively small impact that coupling has on MSLP forecasts. In fact, deterministic and ensemble integrations reveal that the magnitude of forecast error and the perturbation growth due to analysis uncertainties, respectively, by far outweigh MSLP differences between coupled and uncoupled integrations. Furthermore, no significant difference of the ensemble spread between the uncoupled and coupled system is found. The authors’ conclusions apply equally for a number of cases of rapidly intensifying extratropical cyclones in the North Atlantic region. Further experimentation with different atmospheric model versions, different horizontal atmospheric resolutions, and different ocean model formulation reveals the robustness of the findings. The results suggest that (for the cases, resolutions, and model complexities considered is this study) the benefit of using coupled atmosphere–ocean models to carry out 1–10-day MSLP forecasts is relatively small, at least in the Northern Hemisphere extratropics during wintertime.

Corresponding author address: Dr. Thomas Jung, ECMWF, Shinfield Park, Reading RG2 9AX, United Kingdom. Email: thomas.jung@ecmwf.int

Save
  • Buizza, R., and T. Palmer, 1995: The singular-vector structure of the atmospheric global circulation. J. Atmos. Sci., 52 , 14341456.

  • Emanuel, K., 2003: Tropical cyclones. Annu. Rev. Earth Planet. Sci., 31 , 75104.

  • Gustafsson, N., L. Nyberg, and A. Omstedt, 1998: Coupling of a high-resolution atmospheric model and an ocean model for the Baltic Sea. Mon. Wea. Rev., 126 , 28222846.

    • Search Google Scholar
    • Export Citation
  • Gyakum, J., and R. Danielson, 2000: Analysis of meteorological precursors to ordinary and explosive cyclogenesis in the western North Pacific. Mon. Wea. Rev., 128 , 851863.

    • Search Google Scholar
    • Export Citation
  • Hagedorn, R., A. Lehmann, and D. Jakob, 2000: A coupled high-resolution atmosphere–ocean model for the BALTEX region. Meteor. Z., 9 , 720.

    • Search Google Scholar
    • Export Citation
  • Hoskins, B. J., and P. J. Valdes, 1990: On the existence of storm tracks. J. Atmos. Sci., 47 , 18541864.

  • Janssen, P., 2004: The Interaction of Ocean Waves and Wind. Cambridge University Press, 308 pp.

  • Josse, P., G. Caniaux, H. Giordani, and S. Planton, 1999: Intercomparison of oceanic and atmospheric forced and coupled mesoscale simulation. Ann. Geophys., 17 , 566576.

    • Search Google Scholar
    • Export Citation
  • Jung, T., 2005: Systematic errors of the atmospheric circulation in the ECMWF forecasting system. Quart. J. Roy. Meteor. Soc., 131 , 10451073.

    • Search Google Scholar
    • Export Citation
  • Kalnay, E., 2003: Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, 341 pp.

  • Klinker, E., F. Rabier, and R. Gelaro, 1998: Estimation of key analysis errors using the adjoint technique. Quart. J. Roy. Meteor. Soc., 124 , 19091933.

    • Search Google Scholar
    • Export Citation
  • Langland, R. H., R. L. Elsberry, and R. Errico, 1995: Evaluation of physical processes in an idealized extratropical cyclone using adjoint sensitivity. Quart. J. Roy. Meteor. Soc., 121 , 13491386.

    • Search Google Scholar
    • Export Citation
  • Molteni, F., R. Buizza, T. N. Palmer, and T. Petroliagis, 1996: The ECMWF ensemble prediction system: Methodology and validation. Quart. J. Roy. Meteor. Soc., 122 , 73119.

    • Search Google Scholar
    • Export Citation
  • Neiman, P. J., and M. A. Shapiro, 1993: The life cycle of an extratropical marine cyclone. Part I: Frontal-cyclone evolution and thermodynamic air–sea interaction. Mon. Wea. Rev., 121 , 21532176.

    • Search Google Scholar
    • Export Citation
  • Palmer, T. N., F. Molteni, R. Mureau, P. Buizza, R. Chapelet, and J. Tribbia, 1993: Ensemble prediction. Proc. ECMWF Seminar on Validation of Models over Europe, Vol. I, Reading, United Kingdom, ECMWF, 21–66.

  • Rabier, F., E. Klinker, P. Courtier, and A. Hollingsworth, 1996: Sensitivity of forecast errors to initial conditions. Quart. J. Roy. Meteor. Soc., 122 , 121150.

    • Search Google Scholar
    • Export Citation
  • Rasmussen, E. A., and J. Turner, 2003: Polar Lows: Mesoscale Weather Systems in the Polar Region. Cambridge University Press, 624 pp.

  • Reynolds, R., N. Rayner, T. Smith, M. Thomas, D. Stokes, and W. Wang, 2002: An improved in situ satellite SST analysis for climate. J. Climate, 15 , 7387.

    • Search Google Scholar
    • Export Citation
  • Simmons, A. J., and A. Hollingsworth, 2002: Some aspects of the improvement of skill of numerical weather prediction. Quart. J. Roy. Meteor. Soc., 128 , 647677.

    • Search Google Scholar
    • Export Citation
  • Terray, L., E. Sevault, E. Guilyardi, and O. Thual, 1995: The OASIS coupler user guide version 2.0. CERFACS Tech. Rep. TR/CMGC/95-46, 123 pp.

  • Toth, Z., and E. Kalnay, 1993: Ensemble forecasting at NMC: The generation of perturbations. Bull. Amer. Meteor. Soc., 74 , 23172330.

  • Vialard, J., F. Vitart, M. Balmaseda, T. Stockdale, and D. Anderson, 2005: An ensemble generation method for seasonal forecasting with an ocean–atmosphere coupled model. Mon. Wea. Rev., 133 , 441453.

    • Search Google Scholar
    • Export Citation
  • Vitart, F., 2004: Monthly forecasting at ECMWF. Mon. Wea. Rev., 132 , 27612779.

  • Wernli, H., S. Dirren, M. A. Liniger, and M. Zillig, 2002: Dynamical aspects of the life cycle of the winter storm “Lothar” (24–26 December 1999). Quart. J. Roy. Meteor. Soc., 128 , 405429.

    • Search Google Scholar
    • Export Citation
  • Wolff, J. O., E. Maier-Reimer, and S. Legutke, 1997: The Hamburg ocean primitive equation model. Tech. Rep. 13, Deutsches Klimarechenzentrum, Hamburg, Germany, 58 pp.

  • Woolnough, S. J., J. M. Slingo, P. M. Inness, and B. J. Hoskins, 2003: Air–sea interaction on intraseasonal timescales and its implications for the representation of the upper ocean for medium and extended range prediction. Proc. ECMWF Workshop on the Role of the Upper Ocean in Medium and Extended Range Forecasting, Reading, United Kingdom, ECMWF, 129–142.

  • Zolina, O., and S. K. Gulev, 2003: Synoptic variability of ocean–atmosphere turbulent fluxes associated with atmospheric cyclones. J. Climate, 16 , 27172734.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 680 381 55
PDF Downloads 175 37 5