2 citations · 2 across the 2 of their papers we have counts for
3 papers
stat.AP2022★ 2 cited
Weighted verification tools to evaluate univariate and multivariate forecasts for high-impact weather events
Sam Allen, Jonas Bhend, Olivia Martius +1
To mitigate the impacts associated with adverse weather conditions, meteorological services issue weather warnings to the general public. These warnings rely heavily on forecasts i…
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.AP2019
Area-covering postprocessing of ensemble precipitation forecasts using topographical and seasonal conditions
Lea Friedli, David Ginsbourger, Jonas Bhend
Probabilistic weather forecasts from ensemble systems require statistical postprocessing to yield calibrated and sharp predictive distributions. This paper presents an area-coverin…