Maxime Taillardat

Calibrated Ensemble Forecasts Using Quantile Regression Forests and Ensemble Model Output Statistics

Maxime Taillardat, Olivier Mestre, Michaël Zamo et al. · Monthly Weather Review · 2016 · 247 citations · Full text

Forecasting Methodology, Engineering, Weather Forecasting +17

From research to applications – examples of operational ensemble post-processing in France using machine learning

Maxime Taillardat, Olivier Mestre · Nonlinear processes in geophysics · 2020 · 58 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +21

The EUPPBench postprocessing benchmark dataset v1.0

Jonathan Demaeyer, Jonas Bhend, Sebastian Lerch et al. · Earth system science data · 2023 · 21 citations · Full text

Forecasting Methodology, Engineering, First Benchmark +21

Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions

Maxime Taillardat, Anne‐Laure Fougères, Philippe Naveau et al. · International Journal of Forecasting · 2022 · 15 citations · Full text

Forecasting Methodology, Engineering, Rare Event Estimation +17

Calibrated ensemble forecasts of the height of new snow using quantile regression forests and ensemble model output statistics

Guillaume Évin, Matthieu Lafaysse, Maxime Taillardat et al. · Nonlinear processes in geophysics · 2021 · 11 citations · Full text

Forecasting Methodology, Engineering, Forestry +19