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Diagnostic Study of the Influence of Lateral Boundary Conditions for the Remo Rcm Simulations Over the Carpathian Basin : Volume 6, Issue 1 (26/04/2011)

By Szépszó, G.

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Book Id: WPLBN0003990337
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Diagnostic Study of the Influence of Lateral Boundary Conditions for the Remo Rcm Simulations Over the Carpathian Basin : Volume 6, Issue 1 (26/04/2011)  
Author: Szépszó, G.
Volume: Vol. 6, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Szépszó, G. (2011). Diagnostic Study of the Influence of Lateral Boundary Conditions for the Remo Rcm Simulations Over the Carpathian Basin : Volume 6, Issue 1 (26/04/2011). Retrieved from http://www.ebooklibrary.org/


Description
Description: Hungarian Meteorological Service, P.O. Box 38, 1525 Budapest, Hungary. At the Hungarian Meteorological Service, two experiments were accomplished with the REMO5.0 regional climate model: (1) a simulation of a past period from 1961 to 2000, driven by the ECMWF ERA40 re-analysis data, and (2) a transient run from 1951 to 2100 driven by the ECHAM5/MPI-OM global coupled atmosphere-ocean model using SRES A1B forcing. The integration domain covers continental Europe with 25 km horizontal resolution in both experiments. Present article is dedicated to the investigation of the simulation results for the past period. The results for 1961–1990 were compared on the one hand with observations, and on the other hand, with each other and the corresponding global fields in order to assess the impact of the different lateral boundary conditions on the results focusing on the area of our interest, i.e., Hungary. The evaluation indicated that the re-analysis driven experiment provides warm and in summer dry past climate over the Carpathian Basin, whereas lower temperature and higher precipitation values are obtained when the lateral boundary information is derived from a global climate model. Based on the validation, it is concluded that the temperature characteristics in the simulation-driven case outperformed the experiment forced by quasi-perfect (i.e., re-analysis) data, however, similar apparent conclusion cannot be drawn for precipitation. This paper is undertaking to give deeper insight into the details and possible reasons for these outcomes.

Summary
Diagnostic study of the influence of lateral boundary conditions for the REMO RCM simulations over the Carpathian Basin

Excerpt
Denis, B., Laprise, R., Caya, D., and Cote, J.: Downscaling ability of one-way nested regional climate models: the Big-Brother Experiment, Clim. Dynam., 18, 627–646, 2002.; Giorgi, F. and Bates, G.: The climatological skill of a regional model over complex terrain, Mon. Weather Rev., 117, 2325–2347, 1989.; Jacob, D. and Podzun, R.: Sensitivity studies with the regional climate model REMO, Meteorol. Atmos. Phys., 63, 119–129, 1997.; Marsland, S. J., Haak, H., Jungclaus, J. H., Latif, M., and Röske, F.: The Max Planck Institute global ocean/sea-ice model with orthogonal curvilinear coordinates, Ocean Model., 5, 91–127, 2003.; Mitchell, T. D and Jones, P. D: An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 25, 6, 693–712, 2005.; 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., and Dadi, Z.: IPCC special report on emissions scenarios, Cambridge University Press, Cambridge, 2000.; Radu, R., Déqué, M., and Somot, S.: Spectral nudging in a spectral regional climate model, Tellus A, 60, 5, 898–910, 2008.; Roeckner, E., Bäuml, G., Bonaventura, L., Brokoff, R., Esch, M., Giorgetta, M., Hagemann, S., Kirchner, I., Kornblueh, L., Manzini, E., Rhodin, A., Schlese, U., Schulzweida, U., and Tompkins, A.: The atmospheric general circulation model ECHAM5. Part I: model description, Report No. 349, Max Planck Institute for Meteorology, Hamburg, Germany, 2003.; Szépszó, G. and Horányi, A.: Transient simulation of the REMO regional climate model and its evaluation over Hungary, Id\H{o}járás, 112, 203–232, 2008.; 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., and Woollen, J.: The ERA-40 re-analysis, Q. J. Roy. Meteorol. Soc., 131, 2961–3012, 2005.

 

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