Distributions-oriented wind forecast verification by a hidden Markov model for multivariate circular–linear data

@article{Mastrantonio2017DistributionsorientedWF,
  title={Distributions-oriented wind forecast verification by a hidden Markov model for multivariate circular–linear data},
  author={Gianluca Mastrantonio and Alessio Pollice and Francesca Fedele},
  journal={Stochastic Environmental Research and Risk Assessment},
  year={2017},
  volume={32},
  pages={169-181}
}
Winds from the North–West quadrant and lack of precipitation are known to lead to an increase of PM10 concentrations over a residential neighborhood in the city of Taranto (Italy). In 2012 the local government prescribed a reduction of industrial emissions by 10% every time such meteorological conditions are forecasted 72 h in advance. Wind forecasting is addressed using the Weather Research and Forecasting (WRF) atmospheric simulation system by the Regional Environmental Protection Agency. In… 
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Theory and Methods for Large Spatial Data

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