By Forman S. Acton
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Additional resources for Analysis of Straight-Line Data (Wiley Publication in Applied Statistics)
Roch, and A. Staniforth, 1998: The Operational CMC-MRB Global Environmental Multiscale (GEM) Model. Part I: Design Considerations and Formulation. Monthly Weather Review, 126, 1373-1395. 2. -G. Desmarais, S. Gravel, A. Methot, A. Patoine, M. Roch, and A. Staniforth, 1998: The Operational CMC-MRB Global Environmental Multiscale (GEM) Model. Part II: Results. Monthly Weather Review, 126, 1397-1418. 3. , 2000: Parallel elliptic solvers for the implicit global variableresolution grid-point GEM model: iterative and fast direct methods.
A computer of much higher performance than now is prerequisite to meet those needs. The present mainframe at JMA, which has commenced operation in 1996, and since then produced several kinds of operational weather forecasts, will fall short of our demands before long. Single CPU performance has been boosted up to greatly an extent in the last decade and seems to have come near its ceiling. Under such circumstances it is the advent of a massively parallel supercomputer that has brought us the prospect for further amelioration of numerical weather prediction.
U,V,W,T) This resulted in average vector lengths for adjoint S/L interpolation of about 100 (not all interpolations are 32 point). A further refinement to this vectorisation approach was to determine globally the maximum vertical separation of departure points from arrival points (calculated during the trajectory calculation of the minimisation step). With this information it was then possible to perform stencil updates over levels by taking strides slightly greater than the above maximum vertical separation.
Analysis of Straight-Line Data (Wiley Publication in Applied Statistics) by Forman S. Acton