Distributed algorithm for two-dimensional global climate modeling

The importance of global climate modeling for long-term studies of global warming and ozone depletion is the focus of the DOE CHAMMP program (1990). We have developed a model and distributed algorithm for 2D climate modeling which includes ocean intermediate/deep layer dynamics, coupled atmosphere/biosphere hydrology and velocity interactions, and variable lapse rates. This algorithm allows the testing of new sub-models, without the computational overhead and possible poor spatial resolution entailed in a full 3D global climate model (GCM) study. The results of some performance and scaling experiments with the 2D climate model on the Intel Paragon at the University of South Carolina using ParaSoft Express are also presented.<
>