Design and performance of a scalable parallel community climate model
Parallel Computing - Special issue: climate and weather modeling
Practical considerations in development of a parallel SKYHI general circulation model
Parallel Computing - Special issue: climate and weather modeling
Massively parallel implementation of mesoscale compressible community model
Parallel Computing - Special issue on applications: parallel computing in regional weather modeling
Implementation and performance of a parallel version of the HIRLAM limited area atmospheric model
Parallel Computing - Special issue on applications: parallel computing in regional weather modeling
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Parallelization of the DAO Atmospheric General Circulation Model
PARA '98 Proceedings of the 4th International Workshop on Applied Parallel Computing, Large Scale Scientific and Industrial Problems
Implementing applications with the earth system modeling framework
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
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In the 1990's, computer manufacturers are increasingly turning to the development of parallel processor machines to meet the high performance needs of their customers. Simultaneously, atmospheric scientists studying weather and climate phenomena ranging from hurricanes to El Ni\~{n}o to global warming require increasingly fine resolution models. Here, implementation of a parallel atmospheric general circulation model (GCM) which exploits the power of massively parallel machines is described. Using the horizontal data domain decomposition methodology, this FORTRAN 90 model is able to integrate a $0.6^{\circ}$ longitude by $0.5^{\circ}$ latitude problem at a rate of 19 Gigaflops on 512 processors of a Cray T3E 600; corresponding to 280 seconds of wall-clock time per simulated model day. At this resolution, the model has 64 times as many degrees of freedom and performs 400 times as many floating point operations per simulated day as the model it replaces.