caa a22 4500 469052856 CHVBK 20180323132835.0 cr unu---uuuuu 170328e19920301xx s 000 0 eng 10.1007/BF01025408 doi (NATIONALLICENCE)springer-10.1007/BF01025408 Nonhydrostatic, mesobeta-scale, real-data simulations with the Penn State University/National Center for Atmospheric Research mesoscale model [Elektronische Daten] [T. Warner, Y. Kuo, J. Doyle, J. Dudhia, J. Dudhia, D. Stauffer, N. Seaman] Summary: The Penn State University/National Center for Atmospheric Research (PSU/NCAR) mesoscale model is a widely used research tool that has been applied in a wide variety of real-data, mesoalpha-scale applications. Recently a nonhydrostatic version of this model has been developed by Dudhia (1993). It is the purpose of this paper to illustrate the capabilities of this modeling system by describing four examples of mesobeta-scale simulations: two of the cases involve maritime processes and two deal with continental weather events. All utilize fully three-dimensional sets of initial conditions that are based on real data, both standard data and from special measurements programs. One case employs the model in a data-assimilation configuration, wherein Newtonian relaxation terms are used in the equations to assimilate data from a variety of platforms. This example of nonhydrostatic four-dimensional data assimilation (FDDA) is performed for the purpose of generating a dynamically consistent four-dimensional data-set, however the same procedure can be used for model initialization. The first case, described in section 2, involves the simulation of a coastal front that forms offshore near the western edge of the Gulf Stream. In the second case, described in section 3, the model is used in the FDDA mode to define the mesobeta-scale windfield over the complex terrain of the region around Grand Canyon, Arizona. In sections 4 and 5 will be described the mesobeta-scale structure of cold fronts, one within a marine cyclone, and another near the Rocky Mountains. Springer-Verlag, 1992 Warner T. Department of Meteorology, The Pennsylvania State University, 16802, University Park, PA, USA aut Kuo Y. Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, 80307, Boulder, CO, USA aut Doyle J. Department of Meteorology, The Pennsylvania State University, 16802, University Park, PA, USA aut Dudhia J. Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, 80307, Boulder, CO, USA aut Stauffer D. Department of Meteorology, The Pennsylvania State University, 16802, University Park, PA, USA aut Seaman N. Department of Meteorology, The Pennsylvania State University, 16802, University Park, PA, USA aut Meteorology and Atmospheric Physics Springer-Verlag 49/1-4(1992-03-01), 209-227 0177-7971 49:1-4<209 1992 49 703 https://doi.org/10.1007/BF01025408 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01025408 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Warner T. Department of Meteorology, The Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 700 1- Kuo Y. Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, 80307, Boulder, CO, USA aut NATIONALLICENCE 700 1- Doyle J. Department of Meteorology, The Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 700 1- Dudhia J. Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, 80307, Boulder, CO, USA aut NATIONALLICENCE 700 1- Stauffer D. Department of Meteorology, The Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 700 1- Seaman N. Department of Meteorology, The Pennsylvania State University, 16802, University Park, PA, USA aut NATIONALLICENCE 773 0- Meteorology and Atmospheric Physics Springer-Verlag 49/1-4(1992-03-01), 209-227 0177-7971 49:1-4<209 1992 49 703 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer