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Meteorological observations from radiosondes are also applied to benchmark the numerical weather prediction models used to forecast day-to-day weather.
The R&D section of MSD is engaged in the implementation of numerical weather prediction models and other weather analysis and forecasting techniques.
The time resolution of the Numerical Weather Prediction Models (NWPM) or satellite derived solar irradiance data are typically limited to 1-h (at best 15-min).
The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models in combination with a radiative transfer model.
The time resolution of the numerical weather prediction models or satellite derived solar irradiance data are typically limited to 1-h (at best 15-min).
The downscaling model is a 3D adaptive, mass-consistent finite element model (Wind3D) that takes values from the HARMONIE-AROME or ECMWF mesoscale numerical weather prediction models.
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Predicted wind speeds obtained from a numerical weather prediction model are used as the input data for the mixture density network, whose outputs are the mixture density parameters (used to represent the probability density function of the uncertain output or target variable).
A numerical weather prediction model might then be produced detailing daily optical depth over ground stations.
The Weather Research and Forecasting (WRF) model is the latest-generation numerical weather prediction model.
The algorithm is based on Numerical Weather Prediction model forecasts of mean sea level pressure.
Currently the effect of small lakes in most numerical weather prediction modelling systems is either entirely ignored or crudely parameterized.
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