Results 211 to 220 of about 12,709 (265)
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GPU acceleration of numerical weather prediction

2008 IEEE International Symposium on Parallel and Distributed Processing, 2008
Weather and climate prediction software has enjoyed the benefits of exponentially increasing processor power for almost 50 years. Even with the advent of large-scale parallelism in weather models, much of the performance increase has come from increasing processor speed rather than increased parallelism. This free ride is nearly over.
John Michalakes, Manish Vachharajani
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Numerical weather prediction

Reviews of Geophysics, 1975
Various numerical models are in use for prediction of the large‐scale motions of the atmosphere for operational or research purposes, and all seem to have comparable skill for several days, as shown by Druyan [1974] in a comparison of the Goddard Institute for Space Studies (GISS) [Somerville et al., 1974] model forecasts with those at the National ...
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Application of Parallel Processing to Numerical Weather Prediction

Journal of the ACM, 1967
The purpose of this study is to illustrate the application of a parallel network processing computing system to an important class of problems in hydrodynamics. The computing system selected for this study is a prototype of the SOLOMON parallel processing system (cited as SOLOMON II) which was developed at the Westinghouse Defense and Space Center ...
A. B. Carroll, R. T. Wetherald
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Numerical weather prediction

2000
Abstract Astounding advances in numerical weather prediction have taken place over the last 40 years. Atmospheric models were rather primitive in the early 1960s and were able to yield modest forecasts at best for one day over a very limited domain at only one to three levels in the atmosphere and for only one or two variables.
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Numerical weather prediction

Contemporary Physics, 1986
Abstract The use of physico-mathematical models for the numerical prediction of weather changes on the global scale is described. The accuracy of the predictions is assessed in relation to the limitations of both the observa­tional data and the representation in the model of the many interactive physical and dynamical processes that ...
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Numerical weather prediction for GATE

Quarterly Journal of the Royal Meteorological Society, 1979
AbstractThe results of a few numerical weather prediction experiments that utilize GATE data are presented. Aside from some simple forecasts based on single‐level models, experiments with a multilevel model examine the roles of some of the physical processes.
TN KRISHNAMURTI   +5 more
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Numerical Weather Prediction

Bulletin of the American Meteorological Society, 1978
Abstract This article is addressed to the layman with a science education. It is thus not addressed specifically to the meteorologist, but it contains certain information about the weather services, and the impact of numerical weather prediction on them, that I believe will interest those in the meteorological community who have not had close ...
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Numerical Weather Prediction

1983
The weather is of vital importance to life on this planet. A sudden violent storm may cause loss of life, damage to property and great economic loss. A drought in one country may have political repercussions in other countries also. Agriculture and industry, shipping and aviation, communication and recreation are all fields of human activity that would
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Numerical Problems Connected with Weather Prediction

1985
Large scale atmospheric motions can propagate on vastly different time scales. The time scale of the so called Rossby waves which describe the “weather”is of the order of a day while inertia-gravity waves can have time scales of order] 0 sec. Meteorologically the main interest is in the first type of motion.
G. Browning, Heinz-Otto Kreiss
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An experiment in numerical weather predictability

Geophysical & Astrophysical Fluid Dynamics, 1981
Abstract Numerical prediction of the pressure or streamfield distribution is the first but most important step in weather forecasting. Therefore, it is essential that the forecaster should know the limit of predictability. This paper examines the dependence of predictability on the density of the aerological station network.
S. Kühtreiber, H. Reuter
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