Hindawi Publishing Corporation Advances in Meteorology Volume 2010, Article ID 619478, 15 pages doi:10.1155/2010/619478 Research Article Numerical Modeling of the Severe Cold Weather Event over Central Europe (January 2006) D. Hari Prasad, 1 Joanna Wibig, 2 and Marcin Rzepa 2 1 Centro de Geofisica (CG/UE), University of Evora, 7000 Evora, Portugal 2 Department of Meteorology and Climatology, University of Lodz, 90-131 Lodz, Poland Correspondence should be addressed to D. Hari Prasad, dasarihariprasad@rediffmail.com Received 23 January 2010; Revised 26 April 2010; Accepted 15 June 2010 Academic Editor: Zhaoxia Pu Copyright © 2010 D. Hari Prasad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Cold waves commonly occur in higher latitudes under prevailing high pressure systems especially during winter season which cause serious economical loss and cold related death. Accurate prediction of such severe weather events is important for decision making by administrators and for mitigation planning. An Advanced high resolution Weather Research and Forecasting mesoscale model is used to simulate a severe cold wave event occurred during January 2006 over Europe. The model is integrated for 31 days starting from 00UTC of 1 January 2006 with 30 km horizontal resolution. Comparison of the model derived area averaged daily mean temperatures at 2m height from different zones over the central Europe with observations indicates that the model is able to simulate the occurrence of the cold wave with the observed time lag of 1 to 3days but with lesser intensity. The temperature, winds, surface pressure and the geopential heights at 500 hPa reveal that the cold wave development associates with the southward progression of a high pressure system and cold air advection. The results have good agreement with the analysis fields indicates that the model has the ability to reproduce the time evolution of the cold wave event. 1. Introduction Advance information of extreme weather phenomena such as cold waves is very important to avert their adverse impact on the life and economy of a given region. Prediction of the cold weather events in advance of 15 to 30 days is a challenging issue for the researchers and is useful for the administrators to minimize the damage and for adopting necessary mitigation measures. Cold waves belong to the weather phenomenon which occurs when marked cooling of the air persists for a period of at least few days [1, 2]. Cold waves generally occur with an advection of cold air mass over a large area associated with radiative cooling when a blocking anticyclone develops and persists for at least few days. Several studies have reported observed strong warming in the end of the nineteen century, with an evident increase in minimum and maximum temperatures in Central and Eastern Europe [3, 4] and in the whole Baltic region [5] indicating that mortality risk increases every winter in Central and Eastern Europe [6]. Though the rise in mean daily and mean minimum temperatures does not necessarily affect the frequency of extreme cold weather [7]; however it exerts a strong impact on the environment and society. Numerical simulation of cold waves requires incorpo- ration of the various atmospheric processes in the model such as the interaction of the large-scale atmospheric flow with the local-scale circulation, interaction of the surface and planetary boundary layer (PBL) with the free atmo- sphere and vice versa, and radiation transfer. In numeri- cal models the subgrid scale processes are parameterized to define their interaction with grid-resolvable prognostic variables. The application of recently developed high res- olution atmospheric models like the Advanced Research Weather Forecasting Model (ARW) is expected to improve the prediction of extreme weather events as the regional models are based on more advanced dynamical and physical processes. However, an important aspect of high resolution models is their spin-up time. When operated in climate mode they require simulation lengths exceeding the spin- up time which is of the order of several days [10–16] for