@article{1383,
  keywords = {Probability distributions, Random errors, Weather forecasting, wind, Ensemble prediction systems, GEFS, Numerical weather prediction models, Probabilistic approaches, Probabilistic prediction, Probability density function (pdf), Probability of occurrence, Statistical performance, Probability density function, data set, ensemble forecasting, Probability density function, statistical analysis, Weather forecasting, Wind power, wind velocity},
  author = {A. Tateo and M.M. Miglietta and F. Fedele and M. Menegotto and A. Pollice and R. Bellotti},
  title = {A statistical method based on the ensemble probability density function for the prediction of “Wind Days”},
  year = {2019},
  journal = {Atmospheric Research},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054440085&doi=10.1016%2fj.atmosres.2018.10.001&partnerID=40&md5=0534b69bf058161c4175c8d5fdcdb679},
  doi = {10.1016/j.atmosres.2018.10.001},
}