nested grid model
1Nested Grid Model — The Nested Grid Model (usually known as NGM for short) was a numerical weather prediction model run by the National Centers for Environmental Prediction, a division of the National Weather Service, in the United States. The NGM was, as its name… …
2Global climate model — AGCM redirects here. For Italian competition regulator, see Autorità Garante della Concorrenza e del Mercato. Climate models are systems of differential equations based on the basic laws of physics, fluid motion, and chemistry. To “run” a model,… …
3MEMO Model — The MEMO Model (version 6.2) is a Eulerian non hydrostatic prognostic mesoscale model for wind flow simulation. It was developed by the Aristotle University of Thessaloniki in collaboration with the Universität Karlsruhe. The MEMO Model together… …
4Wind wave model — NOAA Wavewatch III 120 hour Forecast for the North Atlantic In fluid dynamics, wind wave modeling describes the effort to depict the sea state and predict the evolution of the energy of wind waves using numerical techniques. These simulations… …
5Fractal component model — PresentationFractal is a modular and extensible component model that can be used with various programming languages to design, implement, deploy and reconfigure various systems and applications, from operating systems to middleware platforms and… …
6NGM — Nested Grid Model (Academic & Science » Ocean Science) * Agana Naval Air Station (Governmental » Transportation) …
7NGM — can refer to: National Geographic (magazine) Nested Grid Model, a now discontinued numerical weather prediction model This disambiguation page lists articles associated with the same title. If an internal link led you h …
8NGM — abbr. Nested Grid Model …
9Rule 184 — is a one dimensional binary cellular automaton rule, notable for solving the majority problem as well as for its ability to simultaneously describe several, seemingly quite different, particle systems:* Rule 184 can be used as a simple model for… …
10Cellular neural network — Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only. Typical applications include image processing, analyzing 3D surfaces,… …
