205 citations · 205 across the 3 of their papers we have counts for
3 papers
"The Simplest Idea One Can Have" for Seamless Forecasts with Postprocessing
Markus Dabernig, Aitor Atencia
Seamless forecasts are based on a combination of different sources to produce the best possible forecasts. Statistical multimodel postprocessing helps to combine various sources to…
Integrated nowcasting of convective precipitation with Transformer-based models using multi-source data
Çağlar Küçük, Aitor Atencia, Markus Dabernig
Precipitation nowcasting is crucial for mitigating the impacts of severe weather events and supporting daily activities. Conventional models predominantly relying on radar data hav…
Statistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World
Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer +21
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many National Meteorological Services (NMS), with for most of them, the objective of…