2 papers
stat.AP2020
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…
stat.AP2018
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…