J.J. Ambrosiano, J. Bolstad, A.J. Bourgeois, J.C. Brown, and B. Chan. High-performance climate modeling using a domain and task decomposition message-passing approach. pages 397--405. IEEE, August 1994.

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This paper is cited in the following contexts:
A Parallel Spectral Model for Atmospheric Transport.. - Kindler, Schwan.. (1995)   (4 citations)  (Correct)

.... fields with spherical basis functions, which have been widely used for modeling phenomena like weather prediction, global warming or global change of atmospheric constituents [2, 3] Spectral models have some advantages over the grid based models commonly parallelized in past and current work[4, 5, 6, 7]. For example, spectral models naturally conserve the area averaged mean square kinetic energy and the mean square vorticity of wind fields, whereas in grid based models these quantities are either not conserved or require additional computation when such conservation is important[8] Despite such ....

J.J. Ambrosiano, J. Bolstad, A.J. Bourgeois, J.C. Brown, and B. Chan. High-performance climate modeling using a domain and task decomposition message-passing approach. pages 397--405. IEEE, August 1994.

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