Summary
High-impact weather systems occasionally cause huge disasters to human society owing to heavy rainfall and/or violent wind. They consist of cumulonimbus clouds and usually have a multiscale structure. High-resolution simulations within a large domain are necessary for quantitatively accurate prediction of the weather systems and prevention/reduction of disasters. For the simulations, we have been developing a cloud-resolving model named the Cloud Resolving Storm Simulator (CReSS). The model is designed for a parallel computer and was optimized for the Earth Simulator in the present study. The purpose of the present research is highresolution simulations of high-impact weather systems in a large calculation domain with resolving individual cumulonimbus clouds using the CReSS model on the Earth Simulator. Characteristic high-impact weather systems in East Asia are the Baiu front, typhoons, and winter snowstorms. The present chapter describes simulations of these significant weather systems. We have chosen for the case study of the Baiu front the Niigata—Fukushima heavy rainfall event on July 13, 2004. Typhoons for simulations are T0418, which caused a huge disaster due to strong wind, and T0423, which caused severe flood over the western Japan in 2004. Snowstorms were studied by an idealized numerical experiment as well as by a simulation of cold air outbreak over the Sea of Japan. These experiments clarified both the overall structures of weather systems and individual clouds. The high-resolution simulations resolving individual clouds permit a more quantitative prediction of precipitation. They contribute to accurate prediction of wind and precipitation and to reduction of disasters caused by high-impact weather systems.
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Asai, T., 1972: Thermal instability of a shear flow turning the direction with height. J. Meteor. Soc. Japan, 50, 525-532.
Cotton, W. R., G. J. Tripoli, R. M. Rauber and E. A. Mulvihill, 1986: Numerical simulation of the effects of varying ice crystal nucleation rates and aggregation processes on orographic snowfall. J. Climate Appl. Meteor., 25, 1658-1680.
Ikawa, M. and K. Saito, 1991: Description of a nonhydrostatic model developed at the Forecast Research Department of the MRI. Technical Report of the MRI, 28, 238pp.
Lin, Y. L., R. D. Farley and H. D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065-1092.
Louis, J. F., M. Tiedtke and J. F. Geleyn, 1981: A short history of the operational PBL parameterization at ECMWF. Workshop on Planetary Boundary Layer Parameterization 25-27 Nov. 1981, 59-79.
Murakami, M., 1990: Numerical modeling of dynamical and microphysical evolution of an isolated convective cloud - The 19 July 1981 CCOPE cloud. J. Meteor. Soc. Japan, 68, 107-128.
Murakami, M., T. L. Clark and W. D. Hall 1994: Numerical simulations of convective snow clouds over the Sea of Japan; Two-dimensional simulations of mixed layer development and convective snow cloud formation. J. Meteor. Soc. Japan, 72, 43-62.
Smagorinsky, J., 1963: General circulation experiments with the primitive equations. I. The basic experiment. Mon. Wea. Rev., 91, 99-164.
Tsuboki, K. and A. Sakakibara, 2001: CReSS User’s Guide 2nd Edition, 210p.
Tsuboki, K. and A. Sakakibara, 2002: Large-scale parallel computing of Cloud Resolving Storm Simulator. High Performance Computing, Springer, H. P. Zima et al. Eds., 243-259.s
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Tsuboki, K. (2008). High-Resolution Simulations of High-Impact Weather Systems Using the Cloud-Resolving Model on the Earth Simulator. In: Hamilton, K., Ohfuchi, W. (eds) High Resolution Numerical Modelling of the Atmosphere and Ocean. Springer, New York, NY. https://doi.org/10.1007/978-0-387-49791-4_9
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DOI: https://doi.org/10.1007/978-0-387-49791-4_9
Publisher Name: Springer, New York, NY
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