18 citations · 24 across the 8 of their papers we have counts for
3 papers · 1 filter
On the Calibration of Isotonic Distributional Regression
Tobias Biegert, Johannes Resin, Alexander Jordan +1
Isotonic distributional regression (IDR) has recently been proposed as a non-parametric technique for probabilistic forecasting via the estimation of conditional distributions unde…
Can We Trust Evaluations of AI Weather Forecasts for Extremes? How Evaluation Protocols Shape Model Rankings
Tobias Biegert, Sam Allen, Zhongwei Zhang +1
AI weather models perform competitively with traditional physics-based models at a fraction of the computational cost, and they are thus already used operationally. However, studie…
Towards Fair Comparisons of AI- and Physics-Based Weather Models for Extreme Events via the Weighted Potential CRPS
Tobias Biegert, Sam Allen, Annika Alber +1
We study whether deterministic AI weather prediction (AIWP) models issue more informative forecasts for extreme weather events than deterministic numerical weather prediction (NWP)…