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Richardson, L. F.: Weather predictions by numerical process. Cambridge University Press, 1922

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Some Results On The Navier-Stokes Equations In Connection With The .. - Rosa   (Correct)

....exp( with j j d . Kolmogorov s theory of locally isotropic turbulence The next major breakthrough came in a series of short papers by Kolmogorov [26, 27, 28] introducing the theory of locally isotropic turbulence. It was partly based on Richardson s energy cascade process [43], in which eddies of a given length scale break down into smaller eddies, and in turn these smaller eddies break down into still smaller ones, and so on, until small enough scales are reached in which viscosity plays an important role and the kinetic energy is nally dissipated into heat. ....

L. F. Richardson, Weather Prediction by Numerical Process, Cambridge University Press, Cambridge, 1922.


Tomorrow's Weather Forecast: Productive Program Generation .. - van Engelen, Wolters (1997)   (Correct)

....Because the atmosphere can be tiled into smaller patches, the computing time for a forecast is inversely proportional to the number of patches assuming that each patch can be handled by one processor of the parallel computer. This principle was already envisaged in 1922 by L.F. Richardson [2] even before the first electronic computer was build Although the basic principles of parallel computation are clear, the parallel implementation of weather forecasts is still a major research topic. One of the reasons is that the appearance of several different types of parallel computer ....

L.F. Richardson, "Weather Prediction by Numerical Process", Cambridge University Press, London, 1922.


The Dolph-Chebyshev Window: A Simple Optimal Filter - Lynch   (Correct)

....indistinguishability of the Dolph lter and the optimal lter for the parameter values chosen in HL93 (see Table 1) we may expect that the results obtained by initializing with a Dolph lter would be virtually identical to those reported in that paper. Another application will be described here. Richardson (1922) calculated the pressure tendency using observations valid at 0700 UTC, May 20, 1910. Richardson s data tables have been extended using original sources, and a model based on his formulation of the primitive equations has been written (Lynch, 1994) For the unmodi ed data, the initial pressure ....

Richardson, L.F., 1922: Weather Prediction by Numerical Process. Cambridge Univ.


The Mixing Transition in Turbulent Flows - Dimotakis (2000)   (Correct)

....# r L[# K , #, and #, respectively, in the present notation] between the external scale L and the inner scale # and of a certain uniform mechanism of energy transfer from the coarser scaled vortices to the finer. The attribution is, most likely, to the proposals and ideas documented in the Richardson (1922) monograph. 29 example, the energy spectrum is predicted (and found) to exhibit a near power law behavior with a negative # 5 3 exponent (e.g. Monin Yaglom 1975) To refine the bounds in (15) we appreciate that independence from the dynamics of the outer scale, #, requires that an inner ....

Richardson, L. F. 1922 Weather Prediction by Numerical Process . Cambridge U. P..


Mathematical Models For Climate As A Link Between Coupled.. - Melnik (1997)   (Correct)

....initial stage of development of the model, mainly pressure was used as the vertical coordinate. The implementation of the earth s orography [42] led to the adoption of a oe system coordinate for the model. Among the first to use the geometrical altitude as a vertical coordinate was L. Richardson [51]. This idea was developed further by V. Starr (see references in [20] who introduced quasi Lagrangian coordinate systems. The present development of the vertical structure of meteorological fields in the NCAR CCM3 model [1] is based on the works of Kasahara and Washington [19] Kasahara [20] and ....

Richardson, L.F. Weather Prediction by numerical Process, Cambridge Univ. Press, London, 1922.


Atmosphere and Ocean Circulation Simulation on Massively Parallel .. - Wolters (1992)   (Correct)

....weather forecasting can be found in [8] Finite difference methods provide in principle an ideal way to use the massively parallel computers efficiently. This idea is not new: already in 1922 L.F. Richardson described a way to make a numerical weather forecast by means of 64,000 human computers [9]. An efficient implementation of finite difference methods can be achieved by the technique of data decomposition. However, the effects of a choice between explicit (nearest neighbour communications) versus implicit (faster convergence) solutions and iterative methods versus direct methods are not ....

L.F. Richardson, Weather Prediction by Numerical Process, Cambridge University Press, Cambridge, 1922.


Data-Parallel Numerical Weather Forecasting - Wolters, Cats, Gustafsson (1995)   (Correct)

....platforms. In this paper we investigate the role of massively parallel computer systems to achieve the required computer power for numerical weather prediction. As early as 1922 L.F. Richardson described a forecast factory with 64,000 computers to calculate the weather for the whole globe [16]: Imagine a large hall like a theatre, except that the circles and galleries go right round through the space usually occupied by the stage. The walls of this chamber are painted to form a map of the globe. The ceiling represents the north polar regions, England is in the gallery, Support was ....

L.F. Richardson, Weather Prediction by Numerical Process, Cambridge University Press, London, 1922.


From Numerical Analysis to Computational Science - Engquist, Golub (2000)   (Correct)

No context found.

Richardson, L. F.: Weather predictions by numerical process. Cambridge University Press, 1922


Parallel Processing and Finite Elements - Zois (1985)   (Correct)

No context found.

RICHARDSON L. S., "Weather Prediction by Numerical Process", Cambridge University Press, 1922


Dynamical Equations and Turbulent Closures in Geophysics - Sander (1998)   (Correct)

No context found.

Richardson LF (1922) Weather prediction by numerical process. University Press Cambridge

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