129 citations · 818 across the 33 of their papers we have counts for
6 papers · 1 filter
Combining predictive distributions for statistical post-processing of ensemble forecasts
Sándor Baran, Sebastian Lerch
Statistical post-processing techniques are now widely used to correct systematic biases and errors in calibration of ensemble forecasts obtained from multiple runs of numerical wea…
Censored and shifted gamma distribution based EMOS model for probabilistic quantitative precipitation forecasting
Sándor Baran, Dóra Nemoda
Recently all major weather prediction centres provide forecast ensembles of different weather quantities which are obtained from multiple runs of numerical weather prediction model…
Log-normal distribution based EMOS models for probabilistic wind speed forecasting
Sándor Baran, Sebastian Lerch
Ensembles of forecasts are obtained from multiple runs of numerical weather forecasting models with different initial conditions and typically employed to account for forecast unce…
Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging
Sándor Baran, Annette Möller
Ensembles of forecasts are typically employed to account for the forecast uncertainties inherent in predictions of future weather states. However, biases and dispersion errors ofte…
Optimal designs for parameters of shifted Ornstein-Uhlenbeck sheets measured on monotonic sets
Sándor Baran, Milan Stehlík
Measurement on sets with a specific geometric shape can be of interest for many important applications (e.g. measurement along the isotherms in structural engineering). In the pres…
Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components
Sándor Baran
Bayesian model averaging (BMA) is a statistical method for post-processing forecast ensembles of atmospheric variables, obtained from multiple runs of numerical weather prediction…