Use of High Performance Computing in Meteorology: by Walter Zwieflhofer, George Mozdzynski

By Walter Zwieflhofer, George Mozdzynski

Geosciences and, specifically, numerical climate prediction are tough the top degrees of accessible desktop energy. the eu Centre for Medium-Range climate Forecasts, with its event in utilizing supercomputers during this box, organizes some other yr a workshop bringing jointly brands, computing device scientists, researchers and operational clients to percentage their stories and to profit concerning the most recent advancements. This quantity offers a superb assessment of the most recent achievements and plans for using new parallel options within the fields of meteorology, climatology and oceanography.

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Tokyo, 183-5801,Japan MASAYUKI YAMADA NEC Informatec Systems LTD. 3-2-1 Sakato. Takatsu-ku. Kawasaki-shi Kanagawa, 213-0012, Japan FUCHIGAMI HIROMITSU NEC Informatec Systems LTD. 3-2-1 Sakato. Takatsu-ku. Kawasaki-shi Kanagawa. 213-0012, Japan TAKESHI SUGIMURA Graduate School of Science of Nagoya Universiw, Furou-cho, Chikusa-ku Nagoya, 464-8602. Japan 50 52 In the Earth Simulator Center, we have started developing a globalhegional non-hydrostatic coupled ocean-atmosphere-land simulation code with high computational performance for the purpose of research into multi-scale interactions on the global sphere.

A more complete discussion of Chapel can be found in 15. 2. Domains, Indez Sets, and A m y s The key feature of Chapel for the control of parallelism and locality is the domain. Domains are first-class entities whose primary component is a named index set that can be combined with a distribution and associated with a set of arrays. Domains provide a basis for the construction of sequential and parallel iterators. Index sets in Chapel are far more general than the Cartesian products of integer intervals used in conventional languages; they include enumerations] sets of object references associated with a class, and sparse subsets.

Forecast variables are perturbation density, three components of momentum, and perturbation pressure. (p)= 0 at apt -+pgw+ at P = pRT vVP‘+ yPVv = ( y - l ) f l 9 - + ( y - l ) @ (3) (4) 54 Any value boundary region of each grid panels is computed by using an interpolation scheme based on 5th order Lagrange polynomials. A boundary point value is calculated by using neighborhood points in the other panel. For numerical stabilization, 2nd order horizontalhertical numerical viscosity and divergence damping are adopted.

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