Felhasznált irodalom

André K., 2012: Digitális filter inicializáció vizsgálata meteorológiai modellek segítségével. BSc szakdolgozat, Eötvös Loránd Tudományegyetem, Budapest.

Asselin, R.A., 1972: Frequency filter for time integrations. Monthly Weather Review 100, 487–490.

Beljaars, A., Bechtold, P., Köhler, M., Morcrette, J.-J., Tompkins, A., Viterbo, P., Wedi, N.P., 2004: The numerics of physical parametrization. In Proceedings of ECMWF Workshop on Recent Developments in numerical methods for atmosphere and ocean modelling, Reading, UK, 113–134.

Bouttier, F., Courtier, P., 1999: Data Assimilation concepts and methods. ECMWF Lecture Series (Data assimilation and use of satellite data), pp. 72. http://www.ecmwf.int/newsevents/training/lecture_notes/pdf_files/ASSIM/Ass_cons.pdf.

Bouttier, F., Vié, B., Nuissier, O., Raynaud, L., 2012: Impact of Stochastic Physics in a Convection-Permitting Ensemble. Monthly Weather Review 140, 3706–3721.

Buizza, R., Palmer, T.N., 1995: The singular-vector structure of the atmospheric global circulation. Journal of the Atmospheric Sciences 52, 1434–1456.

Buizza, R., Leutbecher, M., Isaksen, L., Haseler, J., 2010a: Combined use of EDA- and SV-based perturbations in the EPS. ECMWF Newsletter 123, 22–28.

Charney, J.G., 1948: On the scale of atmospheric motions. Geofys. Publ. 17, pp. 17.

Charney, J.G., 1955: The use of the primitive equations of motion in numerical prediction. Tellus 7, 22–26.

Charney, J.G., Fjørtoft, R., von Neumann, J., 1950: Numerical Integration of the Barotropic Vorticity Equation. Tellus 2, 237–254.

Courant, R., Friedrichs, K.O., Lewy, H., 1928: Über die Partielen Differenzengleichungen der Mathematischen Physik. Mathematische Annalen 100, 32–74.

Davies, H.C., 1976: A lateral boundary formulation for multi-level prediction models. Quarterly Journal of the Royal Meteorological Society 102, 405–418.

Dévényi D., Gulyás O., 1988: Matematikai statisztikai módszerek a meteorológiában. Tankönyvkiadó, Budapest, pp. 443.

Dévényi D., Horányi A., Radnóti G., 1998: Numerikus módszerek az időjárás előrejelzésben. Kézirat, Országos Meteorológiai Szolgálat.

Dubal, M., Wood, N., Staniforth, A., 2004: Analysis of parallel versus sequential splittings for time-stepping physical parameterizations. Monthly Weather Review 132, 121–132.

Durran, D.R., 1999: Numerical methods for wave equations in geophysical fluid dynamics. Springer, New York, USA, pp. 465.

Evensen, G., 2007: Data Assimilation: The Ensemble Kalman Filter. Springer, pp. 279.

Fisher, M., 2001: Assimilation techniques (3): 3dvar. ECMWF Lecture Series (Data assimilation and use of satellite data), pp. 11. http://www.ecmwf.int/newsevents/training/lecture_notes/pdf_files/ASSIM/3dVar.pdf.

Gandin, L.S, 1963: Objective analysis of meteorological fields. Gidrometeorologicheskoe Izdatelstvo, Leningrad, English translation by Israeli Program for Scientific Translations, Jerusalem, 1965.

García-Moya, J.-A., Callado, A., Escribà, P., Santos, C., Santos-Muñoz, D., Simarro, J., 2011: Predictability of short-range forecasting: a multimodel approach. Tellus A 63, 550–563.

Geleyn, J.-F., Hollingsworth, A., 1979: An economical analytical method for the computation of the interaction between scattering and line absorption of radiation. Contributed Journal of Atmospheric Physics 52, 1–16.

Geresdi I., 2005: Klímadinamikai modellek fizikai parametrizációs csomagjai, visszacsatolások. Beszámolókötet, 31. Meteorológiai Tudományos Napok, Budapest, 82–89.

Geresdi I., 2007: A felhőfizikai kutatások aktuális kérdései. Beszámolókötet, 32. Meteorológiai Tudományos Napok, Budapest, 25–31.

Geresdi I., 2006: Globális klíma modellek fizikai parametrizációs eljárásai. NKFP 3A/082/2004 pályázati beszámoló, pp. 62.

Geresdi I., Ács F., Randriamampianina R., Tarczay K., Tóth H., 2003: Fizikai parametrizációk a mezoskálájú modellezésben. Beszámolókötet, 29. Meteorológiai Tudományos Napok, Budapest, 76–85.

Giorgetta, M., Hundertmark, T., Korn, P., Reich, S., Restelli, M., 2009: Conservative space and time regularizations for the ICON model. Berichte zur Erdsystemforschung 67, pp. 32.

Giorgi, F., Bates, G., 1989: The Climatological Skill of a Regional Model over Complex Terrain. Monthly Weather Review 117, 2325–2347.

Götz G., 2001: Káosz és prognosztika. Országos Meteorológiai Szolgálat, Budapest, pp. 490.

Götz G., 2005: Az éghajlat dinamikájának néhány nyitott kérdéséről. Beszámolókötet, 31. Meteorológiai Tudományos Napok, 10–61.

Gustafsson, N., McDonald, A., 1996: A comparison of the HIRLAM gridpoint and spectral semi-Lagrangian model. Monthly Weather Review 124, 2008–2022.

Haltiner, G.J., Williams, R.T., 1980: Numerical Prediction and Dynamic Meteorology (2nd edition). John Wiley and Sons, New York, USA, pp. 477.

Harrington, J., 2001: A method for the parameterization of cloud optical properties in bulk and bin microphysical models: Implications for arctic cloudy boundary layers. Atmospheric Research 57, 51–80.

Haugen, J., Machenhauer, B., 1993: A spectral limited-area model formulation with time-dependent boundary conditions applied to shallow-water equations. Monthly Weather Review 121, 2618–2630.

Hawkins, E., Sutton, R., 2009: The potential to narrow uncertainty in regional climate predictions. Bulletin of American Meteorological Society 90, 1095–1107.

Hawkins, E., Sutton, R., 2011: The potential to narrow uncertainty in projections of regional precipitation change. Climate Dynamics 37, 407–418.

Haylock, M.R., Hofstra, N., Klein Tank, A.M.G., Klok, E.J., Jones, P.D., New, M., 2008: A European daily high-resolution gridded dataset of surface temperature and precipitation. Journal of Geophysical Research (Atmospheres) 113, D20119, doi: 10.1029/2008JD10201.

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

Horányi A., Bartholy J., Krüzselyi I., Pieczka I., Pongrácz R., Szabó P., Szépszó G., Torma Cs., 2011: A hazai regionális klímamodellek eredményeinek együttes kiértékelése. Beszámolókötet, 36. Meteorológiai Tudományos Napok, Budapest, 113–128.

Horányi A., 2002: Numerikus modellek alkalmazása a meteorológiában. Egyetemi Meteorológiai Füzetek 17 (Szerkesztők: Weidinger T., Bartholy J., Mészáros R., Dezső Zs. és Pintér K.), ELTE Meteorológiai Tanszék, Budapest.

Horányi, A., Mile, M. Szűcs, M., 2011: Latest developments around the ALADIN operational short-range ensemble prediction system in Hungary. Tellus 63A, 642–651.

Huang, X., Lynch, P., 1992: Diabatic Digital-Filtering Initialization: Application to the HIRLAM Model. Monthly Weather Review 121, 589–603.

Isaksen, L., Haseler, J., Buizza, R., Leutbecher, M., 2010: The new Ensemble of Data Assimilation. ECMWF Newsletter 123, 17–21.

Kalman, E.R., 1960: A new approach to linear filtering and prediction problems. Journal of Basic Engineering 82, 35–45.

Kalnay, E., 2003: Atmospheric modelling, data assimilation and predictability. Cambridge University Press, Cambridge, USA, pp. 341.

Kertész S., 2006: A perturbációk fejlődésének rövid jellemzése. Kézirat, Országos Meteorológiai Szolgálat.

Kibel, I.A., 1957: Vvedenie v gidrodinamicheskie melody kratkosrochnogo prognoza pogody. Gosud. Izdat. Tek.-Teor. Lit., Moscow, pp. 374.

Kiehl, J.T., Trenberth, K.E., 1997: Earth's Annual Global Mean Energy Budget. Bulletin of the American Meteorological Society 78, 197–208.

Lakatos, M., Szentimrey, T., Bihari, Z., Szalai, S., 2013: Creation of a homogenized climate database for the Carpathian region by applying the MASH procedure and the preliminary analysis of the data. Időjárás 117, 1, 143–158.

Lanczos, C., 1956: Applied Analysis. Prentice-Hall, New Jersey, USA, pp. 539.

Lax, P.D., Richtmyer, R.D., 1956: Survey of the stability of linear finite difference equations. Communications on Pure and Applied Mathematics 9, 267–293.

Leith, C.E., 1980: Nonlinear normal mode initialization and quasi-geostrophic theory. Journal of the Atmospheric Sciences 37, 954–964.

Le Moigne, P., 2009: SURFEX scientific documentation; issue 1. Météo France, Toulouse, France, pp. 211. http://www.cnrm.meteo.fr/surfex/IMG/pdf/surfex_scientific_documentation.pdf.

Lindstedt, D., 2012: Development of a high resolution regional climate model. Rossby Centre Newsletter.

Lorenz, E., 1963: Deterministic nonperiodic flow. Journal of the Atmospheric Sciences 20, 130–142.

Louis, J.F., 1979: A Parametric Model of the Vertical Eddy Fluxes in the Atmosphere, Boundary-Layer Meteorology 17, 18–202.

Lynch, P., Huang, X., 1992: Initialization of the HIRLAM model using a digital filter. Monthly Weather Review 120, 1019–1034.

Manabe, S., Smagorinsky, J., Strickler, R.F., 1965: Simulated Climatology of a General Circulation Model with a Hydrologic Cycle. Monthly Weather Review 93, 769–798.

Mesinger, F., Arakawa, A., 1976: Numerical Methods Used in Atmospheric Models, Volume 1. GARP Publications Series 17.

Miller, M., Buizza, R., Haseler, J., Hortal, M., Janssen, P., Untch, A., 2010: Increased resolution in the ECMWF deterministic and ensemble prediction systems. ECMWF Newsletter 124, 10–16.

Mironov, D.V., 2008: Parameterization of lakes in numerical weather prediction. Description of a lake model. COSMO Technical Report 11, Deutscher Wetterdienst, Offenbach am Main, Germany, pp. 41.

Morcrette, J.-J., 1989: Description of the Radiation Scheme in the ECMWF Model. Technical Memorandum 165, ECMWF, Reading, UK, pp. 26.

Moss, R.H., Edmonds, J.A., Hibbard, K.A., Manning, M.R., Rose, S.K., van Vuuren, D.P., Carter, T.R., Emori, S., Kainuma, M., Kram, T., Meehl, G.A., Mitchell, J.F.B., Nakicenovic, N., Riahi, K., Smith, S.J., Stouffer, R.J., Thomson, A.M., Weyant, J.P., Wilbanks, T.J., 2010: The next generation of scenarios for climate change research and assessment. Nature 463, 747–756.

Nakicenovic, N., Alcamo, J., Davis, G., de Vries, B., Fenhann, J., Gaffin, S., Gregory, K., Grübler, A., Jung, T.Y., Kram, T., La Rovere, E.L., Michaelis, L., Mori, S., Morita, T., Pepper, W., Pitcher, H., Price, L., Raihi, K., Roehrl, A., Rogner, H. H., Sankovski, A., Schlesinger, M., Shukla, P., Smith, S., Swart, R., van Rooijen, S., Victor, N., Dadi, Z., 2000: IPCC special report on emissions scenarios. Cambridge University Press, Cambridge, USA.

Oke, T.R., 1987: Boundary Layer Climates (2nd edition). Routledge, London, UK, pp. 435.

Orszag, S.A., 1971: On the Elimination of Aliasing in Finite-Difference Schemes by Filtering High-Wavenumber Components. Journal of the Atmospheric Sciences 28, 1074.

Palmer, T.N., Tibaldi, S., 1988: On the prediction of forecast skill. Monthly Weather Review 116, 2453–2480.

Palmer, T.N., Buizza, R., Doblas-Reyes, F., Jung, T., Leutbecher, M., Shutts, G.J., Steinheimer, M., Weisheimer, A., 2009: Stochastic Parametrization and Model Uncertainty. Technical Memorandum 598, ECMWF, Reading, UK.

Perkey, D.J., Kreitzberg, C.W., 1976: A time-dependent lateral boundary scheme for limited area primitive equation models. Monthly Weather Review 104, 744–755.

Pfeifer, S., 2006: Modeling cold cloud processes with the regional climate model REMO. Ph.D. dissertation, Max Planck Institute for Meteorology, Hamburg, Germany, pp. 131.

Philips, N.A., 1956: The general circulation of the atmosphere, a numerical experiment. Quarterly Journal of the Royal Meteorological Society 82, 123–164.

Philips, N.A., 1959: An example of nonlinear computational instability. In: The atmosphere and the sea in motion. Rossby Memorial Volume, Rockefeller Institute Press, New York, USA, 501–504.

Práger T., 1992: Numerikus prognosztika I.: A hidrodinamikai előrejelzés elmélete. Tankönyvkiadó, Budapest, pp. 327.

Radnóti G., 2003: A numerikus előrejelzés alapjai, numerikus módszerek. 29. Meteorológiai Tudományos Napok, beszámolókötet, 25–40.

Randall, D., Khairoutdinov, M., Arakawa A., Grabowski, W.W., 2003: Breaking the cloud-parameterization deadlock. Bulletin of the American Meteorological Society 84, 1547–1564.

Riddaway, R.W. (Revised by M. Hortal), 2001: Numerical Methods. ECMWF training lecture note. http://www.ecmwf.int/newsevents/training/lecture_notes/pdf_files/NUMERIC/Num_meth.pdf.

Ritchie, H., 1986: Eliminating the Interpolation Associated with the Semi-Lagrangian Scheme. Monthly Weather Review 114, 135–146.

Robert, A.J., 1981: A stable numerical integration scheme for the primitive meteorological equations. Atmosphere–Ocean 19, 35–46.

Skamarock, W.C., 2004: Evaluating Mesoscale NWP Models Using Kinetic Energy Spectra. Monthly Weather Review 132, 3019–3032.

Smolarkiewicz, P.K., Pudykiewicz, J.A., 1992: A Class of Semi-Lagrangian Approximations for Fluids. Journal of the Atmospheric Sciences 49, 2082–2096.

Staniforth, A., Côté, J., 1991: Semi-Lagrangian Integration Schemes for Atmospheric Models – A Review. Monthly Weather Review 119, 2206–2223.

Stappers, R., Barkmeijer, J., 2008: HIRLAM CAPE singular vectors. HIRLAM Newsletter 54, 76–80.

Stegena, L., 1988: Vetülettan. Tankönyvkiadó, Budapest.

Strang, G., Fix, G.J., 1973: An analysis of the finite element method. Prentice-Hall, New York, USA, pp. 306.

Tél T., Gruiz M., 2002: Kaotikus dinamika. Nemzeti Tankönyvkiadó, Budapest.

Temperton, C., 1987: Implicit Normal Mode Initialization. Monthly Weather Review 116, 1013–1031.

Tiedtke, M., 1989: A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Monthly Weather Review 117, 1779–1800.

Toth, Z., Kalnay, E., 1997: Ensemble forecasting at NCEP and the breeding method. Monthly Weather Review 125, 3297–3319.

Trenberth, K.E., Fasullo, J.T., Kiehl, J., 2009: Earth’s global energy budget. Bulletin of the American Meteorological Society 90, 311–324.

Uppala, S. M., KÅllberg, P. W., Simmons, A. J., Andrae, U., Da Costa Bechtold, V., Fiorino, M., Gibson, J.K., Haseler, J., Hernandez, A., Kelly, G.A., Li, X., Onogi, K., Saarinen, S., Sokka, N., Allan, R.P., Andersson, E., Arpe, K., Balmaseda, M.A., Beljaars, A.C.M., Van De Berg, L.; Bidlot, J., Bormann, N., Caires, S., Chevallier, F., Dethof, A., Dragosavac, M., Fisher, M., Fuentes, M., Hagemann, S., Hólm, E., Hoskins, B.J., Isaksen, L., Janssen, P.A.E.M., Jenne, R., McNally, A.P., Mahfouf, J.-F., Morcrette, J.-J., Rayner, N.A., Saunders, R.W., Simon, P., Sterl, A., Trenberth, K.E., Untch, A., Vasiljevic, D., Viterbo, P., Woollen, J., 2005: The ERA-40 re-analysis. Quarterly Journal of the Royal Meteorological Society 131, 2961–3012.

van der Linden, P., J.F.B. Mitchell (eds.), 2009: ENSEMBLES: Climate Change and its Impacts: Summary of research and results from the ENSEMBLES project. Met Office Hadley Centre, Exeter, UK.

Vreugdenhil, C.B., 1994: Numerical methods for shallow water flow. Kluwer Academic Publishers, Boston, USA, pp. 261.

Wagner, T.M., Graf, H.-F., 2010: An Ensemble Cumulus Convection Parameterization with Explicit Cloud Treatment. Journal of the Atmospheric Sciences 67, 3854–3869.

Xue, L, Teller, A., Rasmussen, R., Geresdi, I., Pan, Z., 2012: Effects of solubility and regenerated aerosols on warm-phase orographic clouds and precipitation simulated by a detailed bin microphysical scheme coupled with WRF. Journal of the Atmospheric Sciences 67, 3336–3354.