Large-scale parallel computing of cloud resolving storm simulator

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Abstract

A sever thunderstorm is composed of strong convective clouds. In order to perform a simulation of this type of storms, a very fine-grid system is necessary to resolve individual convective clouds within a large domain. Since convective clouds are highly complicated systems of the cloud dynamics and microphysics, it is required to formulate detailed cloud physical processes as well as the fluid dynamics. A huge memory and large-scale parallel computing are necessary for the computation. For this type of computations, we have developed a cloud resolving numerical model which was named the Cloud Resolving Storm Simulator (CReSS). In this paper, we will describe the basic formulations and characteristics of CReSS in detail. We also show some results of numerical experiments of storms obtained by a large-scale parallel computation using CReSS. © 2002 Springer Berlin Heidelberg.

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Tsuboki, K., & Sakakibara, A. (2002). Large-scale parallel computing of cloud resolving storm simulator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2327 LNCS, pp. 243–259). https://doi.org/10.1007/3-540-47847-7_21

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