output
20172025
most citedStatistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World

205 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing stat.APShow all

2 papers · 1 filter

stat.AP2018★ 24 cited

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…

stat.AP2017★ 23 cited

A local ensemble transform Kalman particle filter for convective scale data assimilation

Sylvain Robert, Daniel Leuenberger, Hans R. Künsch

Ensemble data assimilation methods such as the Ensemble Kalman Filter (EnKF) are a key component of probabilistic weather forecasting. They represent the uncertainty in the initial…