numerical weather prediction


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numerical weather prediction

[nü′mer·i·kəl ′weth·ər pri‚dik·shən]
(meteorology)

numerical weather prediction

A forecasting method in which digital computers solve mathematical equations. This method is used extensively throughout the world.
References in periodicals archive ?
Liviu Oana et al described use of Genetic Algorithms in Numerical Weather Prediction.
In statistical models, the relationship between numerical weather prediction and wind farm power measurement data can be set by the adaptive regression or artificial neural network methods [1], [4], [5].
2015, Multiobservation meteorological and GNSS data comparison with Numerical Weather Prediction model.
ATMOS Global has been developing and pioneering advanced three-dimensional (3-D) Numerical Weather Prediction and complex air quality modeling, forecasting and management tools for almost two decades.
It built its first numerical weather prediction system in 1983, and since then has employed supercomputers to assist in weather forecasting.
Although not always acknowledged by mathematical modelers, the object of Numerical Weather Prediction (N"WP) models is to assist in weather prediction.
According to numerical weather prediction and meteorological analysis, scattered thunderstorm/rain is expected over southeast Sindh, Punjab and Kashmir during next 48 hours.
During the last two decades, weather forecasting all over the world has greatly benefitted from the guidance provided by Numerical Weather Prediction (NWP).
With the installation of the new Cray XT6 system, Brazil is expected to be home to one of the largest numerical weather prediction and climate research centres in the world.
A mesoscale modeling investigation of tropical cyclone/hurricane forecast over the Gulf of Mexico was established under the NASA/HBCU Renewable Energy and Technology Project to adopt the numerical weather prediction model for possible use in regions where solar equipment can be used.
Among the subjects it discusses are logistics, numerical weather prediction, space-based monitoring, the use of climate models, and methods for modeling disasters themselves on multiple scales, from molecular to global.