205 citations · 258 across the 4 of their papers we have counts for
4 papers
Comparison of multivariate post-processing methods using global ECMWF ensemble forecasts
Mária Lakatos, Sebastian Lerch, Stephan Hemri +1
An influential step in weather forecasting was the introduction of ensemble forecasts in operational use due to their capability to account for the uncertainties in the future stat…
Seamless multi-model postprocessing for air temperature forecasts in complex topography
Regula Keller, Jan Rajczak, Jonas Bhend +4
Statistical postprocessing is routinely applied to correct systematic errors of numerical weather prediction models (NWP) and to automatically produce calibrated local forecasts fo…
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…
Statistical post-processing of hydrological forecasts using Bayesian model averaging
Sándor Baran, Stephan Hemri, Mehrez El Ayari
Accurate and reliable probabilistic forecasts of hydrological quantities like runoff or water level are beneficial to various areas of society. Probabilistic state-of-the-art hydro…