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    Original Research Papers

    Latest developments around the ALADIN operational short-range ensemble prediction system in Hungary

    Authors:

    András Horányi ,

    Hungarian Meteorological Service, 1525 Budapest, P. O. Box 38, HU
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    Máté Mile,

    Hungarian Meteorological Service, 1525 Budapest, P. O. Box 38, HU
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    Mihály Szűcs

    Hungarian Meteorological Service, 1525 Budapest, P. O. Box 38, HU
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    Abstract

    Ensemble prediction systems (EPSs) are an essential part of numerical weather prediction for the provision of probabilistic forecast guidance. The Hungarian Meteorological Service has implemented a limited area EPS (called ALADIN HUNEPS) based on the ALADIN mesoscale limited area model coupled to the French global ARPEGE EPS (PEARP). The dynamical downscaling method is assessed in terms of ensemble verification scores taking also into account the recent upgrade of the PEARP global system. The verification results point towards some weaknesses of the ALADIN HUNEPS, mainly with respect to the near-surface parameters. Therefore, some improvements are needed so as to provide better and more reliable ensemble predictions for the Carpathian Basin. The application of near-surface perturbations into the surface data assimilation scheme is implemented and tested. The first results show that the surface perturbation method slightly improves the ALADIN HUNEPS, however, further experiments should be made to find out the optimal settings of the method for definite robust improvements of ALADIN HUNEPS.

    How to Cite: Horányi, A., Mile, M. and Szűcs, M., 2011. Latest developments around the ALADIN operational short-range ensemble prediction system in Hungary. Tellus A: Dynamic Meteorology and Oceanography, 63(3), pp.642–651. DOI: http://doi.org/10.1111/j.1600-0870.2011.00518.x
    11
    Citations
      Published on 01 Jan 2011
    Peer Reviewed
     CC BY 4.0
     Accepted on 1 Feb 2011            Submitted on 23 Apr 2010

    References

    1. Anderson , J. L . 1996 . A method for producing and evaluating probabilistic forecasts from ensemble model integrations . J. Clim . 9 , 1518 – 1530 .  

    2. Berre , L. , Desroziers , G. , Raynaud , L. , Montroty , R. and Gibier , F . 2009 . Consistent operational variational assimilation. Extended abstracts of the Fifth WMO International Symposium on Data Assimilation. Melbourne, Australia, paper no. 196 .  

    3. Bouttier , F. and Courtier , Ph. 1999 . Data assimilation concepts and methods . Meteorological Training Course. Internal Report of ECMWF , 72 .  

    4. Bouttier , E , Mahfouf , J-E and Noilhan , J. 1993. Sequential assimilation of soil moisture from atmospheric low-level parameters, Part I: sensitivity and calibration studies. J. AppL MeteoroL 32 , 1335 - 1351 .  

    5. BiiRini , G . 2006 . Development of a variational data assimilation system for a limited area model at the Hungarian Meteorological Service . Idójcircis 110 , 309 – 327 .  

    6. Buizza , R. , Tribbia , J ., Molteni , E and Palmer , T. 1993. Computation of optimal unstable structures for a numerical weather prediction model. Tellus 45A , 388 - 407 .  

    7. Courtier , Ph. , Freydier , C. , Geleyn , J-F. , Rabier , F. and Rochas , M . 1991 . The ARPEGE Project at Meteo-France. ECMWF 1991 Seminar Proceedings: Numerical Methods in Atmospheric Models , ECMWF Reading. United Kingdom. 193 - 231 .  

    8. Descamps , L. , Labadier , C. , Joly , A. and Nicolau , J . 2009 . Ensem-ble Prediction at Met& France (poster introduction by Olivier Riv-iere) 31st EWGLAM and 16th SRNWP meetings 28th September - 1st October, 2009. Available at: http://srnwp.met.hu/Annual_ Meetings/2009/download/sept29/morning/posterpearp.pdf  

    9. Frogner , I-L. and Iversen , T . 2001 . Targeted ensemble prediction for northern Europe and parts of the north Atlantic Ocean . Tellus 53A , 35 – 55 .  

    10. Frogner , I-L. and Iversen , T . 2002 . High-resolution limited area en-semble predictions based on low-resolution targeted singular vectors . Q. J. R. MeteoroL Soc . 128 , 1321 – 1341 .  

    11. Giard , D. and Bazile , E . 2000 . Implementation of a new assimilation scheme for soil and surface variables in a global NWP model. Mon . Wea. Re v . 128 , 997 – 1015 .  

    12. Hagel , E. and Horányi , A . 2006 . The development of a limited area en-semble prediction system at the Hungarian Meteorological Service: sensitivity experiments using global singular vectors, preliminary results . Idojcircis 110 , 229 – 252 .  

    13. Hagel , E. and Horányi , A . 2007 . The ARPEGE/ALADIN limited area ensemble prediction system: the impact of global targeted singular vectors . Meteorologische Zeitschrift 16 ( 6 ), 653 – 663 .  

    14. Heizenreder , D. , Trepte , S. and Denhard , M . 2006 . A regional multi-model ensemble in Europe. The European forecaster . Newsletter of the WGCEF 11 , 29 – 35 .  

    15. Horányi , A. , Kertész , S. , Kullmann , L. and Radmiti , G . 2006 . The ARPEGE/ALADIN mesoscale numerical modeling system and its application at the Hungarian Meteorological Service . Idójcircis 110 , 203 – 227 .  

    16. Jensen , M. H. , Frogner , I-L. , Iversen , T. and Vignes , O . 2006 . Limited area ensemble forecasting in Norway using targeted EPS. ECMWF Newsletter 107 , 23 - 29 .  

    17. Marsigli , C. , Boccanera , F. , Montani , A. and Paccagnella , T . 2005 . The COSMO-LEPS mesoscale ensemble system: validation of the methodology and verification . Nonlinear Process. Geophysics 12 , 527 – 536 .  

    18. Montani , A. , Capaldo , M. , Cesari , D. , Marsigli , C. , Modigliani , U. , and co-authors . 2003 . Operational limited area ensemble forecasts based on the ‘Lolcal Modell’. ECMWF Newsletter 98 , 2 - 7 .  

    19. Szintai , B. and Ihász , I . 2006 . The dynamical downscaling of ECMWF EPS products with the ALADIN mesoscale limited area model: pre-liminary evaluation . Idójcircis 110 , 253 – 277 .  

    20. Talagrand , O. , Vautard , R. and Strauss , B. 1998. Evaluation of probabilis-tic prediction systems. Proc. of ECMWF Workshop on Predictabil-ity . 20-22 October 1997 , 1 - 25 , ECMWF, Shinfield Park, Reading, U.K.  

    21. Toth , Z. and Kalnay , E . 1997 . Ensemble forecasting at NCEP and the breeding method. Mon . Wea. Re v . 125 , 3297 – 3319 .  

    22. Wang , Y. , Bellus , M. , Wittmann , C. , Steinheimer , M. , Ivatek-Sahdan , S. , and co-authors . 2009 . The Central-European limited area ensem-ble forecasting system: ALADIN-LAEF. LACE Report. Available at: http://wwwsclace.eu  

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