Dynamic downscaling of the NCEP EPS forecast using the PROMES limited area model

DOI: 10.3369/tethys.2012.9.01

Tethys no. 9 pp.: 3 - 12


When making numerical weather predictions, it is important to forecast not only the future state of the atmosphere, but also to predict the uncertainty related to this forecast. Keeping this in mind, research has started at iMetCam in order to develop a limited area ensemble prediction system. As a start, the simple dynamical downscaling approach was tried. Initial conditions and lateral boundary conditions were provided by the global ensemble system of NCEP and the PROMES limited area model was used for the downscaling. In this paper the first results and the future plans of this experiment are presented. Results show that both systems (global and limited area) are lacking spread, at least for the verification area in question, which indicates that additional perturbations are desirable, which will be the direction of our future work.


  • - Bowler, N. E., Arribas, A., Mylne, K. R., Robertson, K. B., and Beare, S. E., 2008: The MOGREPS short-range ensemble prediction system, Q J R Meteorol Soc, 134, 703–722, doi: 10.1002/qj.234.
  • - Branković, Č., Matjačić, B., Ivatek-Šahdan, S., and Buizza, R., 2008: Downscaling of ECMWF Ensemble Forecasts for Cases of Severe Weather: Ensemble Statistics and Cluster Analysis, Mon Weather Rev, 136, 3323–3342, doi: 10.1175/2008MWR2322.1.
  • - Buizza, R., Tribbia, J., Molteni, F., and Palmer, T., 1993: Computation of optimal unstable structures for a numerical weather prediction model, Tellus Ser A-Dyn Meteorol Oceanol, 45, 388–407, doi: 10.1034/j.1600–0870.1993.t01–4–00005.x.
  • - Buizza, R., Miller, M. J., and Palmer, T. N., 1999: Stochastic representation of model uncertainties in the ECMWF Ensemble Prediction System, Technical Memoranda 279, ECMWF.
  • - Buizza, R., Bidlot, J. R., Wedi, N., Fuentes, M., Hamrud, M., Holt, G., and Vitart, F., 2007: The new ECMWF VAREPS, Q J R Meteorol Soc, 133, 681–695, doi: 10.1002/qj.75.
  • - Castro, M., Fernandez, C., and Gaertner, M. A., 1993: Description of a meso-scale atmospheric numerical model, Diaz JI and Lions JL (eds) Mathematics, climate and environment, Masson, 230-253.
  • - Charron, M., Pellerin, G., Spacek, L., Houtekamer, P. L., Gagnon, N., Mitchell, H. L., and Michelin, L., 2010: Toward Random Sampling of Model Error in the Canadian Ensemble Prediction System, Mon Weather Rev, 138, 1877–1901, doi: 10.1175/2009MWR3187.1.
  • - Frogner, I. L., Haakenstad, H., and Iversen, T., 2006: Limited-area ensemble predictions at the Norwegian Meteorological Institute, Q J R Meteorol Soc, 132, 2785–2808, doi: 10.1256/qj.04.178.
  • - García-Moya, J. A., Callado, A., Escribà, P., Santos, C., Santos-Muñoz, D., and Simarro, J., 2011: Predictability of short-range forecasting: a multimodel approach, Tellus Ser A-Dyn Meteorol Oceanol, 6, 550–563, doi: 10.1111/j.1600–0870.2010.00506.x.
  • - Gebhardt, C., Theis, S., Krahe, P., and Renner, V., 2008: Experimental ensemble forecasts of precipitation based on a convection resolving model, Atmos Sci Lett, 9, 67–72, doi: 10.1002/asl.177.
  • - Hagel, E., 2010: The quasi-operational LAMEPS system of the Hungarian Meteorological service, Idojaras, 114, 121–133.
  • - Iversen, T., Bremnes, J. B., Santos Burguete, C., Deckmyn, A., Feddersen, H., Frogner, I. L., and Sattler, K., 2009: Configurating GLAMEPS for operational production, HIRLAM Newsletter, 55, 37–50.
  • - Jolliffe, I. T. and Stephenson, D. B., 2003: Forecast Verification: A Practitioner’s Guide in Atmospheric Science, Wiley.
  • - Marsigli, C., Montani, A., and Paccagnella, T., 2008: A spatial verification method applied to the evaluation of high-resolution ensemble forecasts, Meteorol Appl, 15, 125–143, doi: 10.1002/met.65.
  • - Molteni, F., Buizza, R., Marsigi, C., Montani, A., Nerozzi, F., and Paccagnella, T., 2001: A strategy for high-resolution ensemble prediction. I: Definition of representative members and global-model experiments, Q J R Meteorol Soc, 127, 2069–2094, doi: 10.1002/qj.49712757612.
  • - Stappers, R. and Barkmeijer, J., 2011: Properties of singular vectors using convective available potential energy as final time norm, Tellus Ser A-Dyn Meteorol Oceanol, 63, 373–384, doi: 10.1111/j.1600–0870.2010.00501.x.
  • - Wang, Y., Kann, A., Bellus, M., Pailleux, J., and Wittmann, C., 2010: A strategy for perturbing surface conditions in LAMEPS, Atmos Sci Lett, 11, 108–113, doi: 10.1002/asl.260.
  • - Wang, Y., Bellus, M., Wittmann, C., Steinheimer, M., Weidle, F., Kann, A., Ivatek- Šahdan, S., Tian, W., Ma, X., Tascu, S., and Bazile, E., 2011: The Central European limited-area ensemble forecasting system: ALADIN-LAEF, Q J R Meteorol Soc, 137, 483–502, doi: 10.1002/qj.751.
  • - Wei, M., Toth, Z., Wobus, R., and Zhu, Y., 2008: Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operational forecast system, Tellus Ser A-Dyn Meteorol Oceanol, 60, 62–79, doi: 10.1111/j.1600–0870.2007.00273.x.

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Partially funded through grants CGL2007-29820-E/CLI, CGL2008-02804-E/, CGL2009-07417-E and CGL2011-14046-E of the Spanish Ministry of Science and Innovation