Empirical downscaling of wind speed probability distributions

Empirical Downscaling of Wind Speed Probability Distributions

Optimum probability estimation from empirical distributions

Probability estimation is important for the application of probabilistic models as well as for any evaluation in IR. We discuss the interdependencies between parameter estimation and certain properties of probabilistic models: dependence assumptions, binary vs. nonbinary features, estimation sample selection. Then we define an optimum estimate for binary features which can be applied to various...

Comparison of the Weibull Model with Measured Wind Speed Distributions

Wind is the principal driver of the Wind Erosion Prediction System (WEPS), which is a process−based computer model for the simulation of wind−blown sediment loss from a field. WEPS generates wind using a stochastic wind generator. The objectives of this study were to improve the stochastic generation of wind speed and direction and to update the wind statistics used by the generator with statis...

Modelling Wind Speed Distributions in Selected Weather Stations

Modelling daily wind speed data by using the two parameter Weibull distribution for ten selected weather stations in Sri Lanka is presented. The daily wind speed data measured by the Department of Meteorology at the heights of 6m-15m during the years 2001 and 2004 were used in this work. The annual variation of the fitted Weibull parameters, the shape parameter k and the scale parameter c range...

Dispersal probability distributions and the wave-front speed problem.

The speed and width of front solutions to reaction-dispersal models are analyzed both analytically and numerically. We perform our analysis for Laplace and Gaussian distribution kernels, both for delayed and nondelayed models. The results are discussed in terms of the characteristic parameters of the models.