Statistical post‐processing of ensemble forecasts of temperature in Santiago de Chile

@article{Daz2019StatisticalPO,
  title={Statistical post‐processing of ensemble forecasts of temperature in Santiago de Chile},
  author={Mailiu D{\'i}az and Orietta Nicolis and Julio C. Marin and S{\'a}ndor Baran},
  journal={Meteorological Applications},
  year={2019},
  volume={27}
}
Modelling forecast uncertainty is a difficult task in any forecasting problem. In weather forecasting a possible solution is the use of forecast ensembles, which are obtained from multiple runs of numerical weather prediction models with various initial conditions and model parametrizations to provide information about the expected uncertainty. Currently all major meteorological centres issue forecasts using their operational ensemble prediction systems. However, it is a general problem that… 
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