8 citations · 14 across the 6 of their papers we have counts for
5 papers · 1 filter
A Composite-Loss Graph Neural Network for the Multivariate Post-Processing of Ensemble Weather Forecasts
Mária Lakatos
Ensemble forecasting systems have advanced meteorology by providing probabilistic estimates of future states. Nonetheless, systematic biases often persist, making statistical post-…
Statistical post-processing of operational dual-resolution wind-speed ensemble forecasts
Sándor Baran, Mária Lakatos
Weather forecasting presents several challenges, including the chaotic nature of the atmosphere and the high computational demands of numerical weather prediction models. To achiev…
Machine learning-based probabilistic forecasting of solar irradiance in Chile
Sándor Baran, Julio C. Marín, Omar Cuevas +4
By the end of 2023, renewable sources cover 63.4% of the total electric power demand of Chile, and in line with the global trend, photovoltaic (PV) power shows the most dynamic inc…
Enhancing multivariate post-processed visibility predictions utilizing CAMS forecasts
Mária Lakatos, Sándor Baran
In our contemporary era, meteorological weather forecasts increasingly incorporate ensemble predictions of visibility - a parameter of great importance in aviation, maritime naviga…
Clustering-based spatial interpolation of parametric post-processing models
Sándor Baran, Mária Lakatos
Since the start of the operational use of ensemble prediction systems, ensemble-based probabilistic forecasting has become the most advanced approach in weather prediction. However…