引用次数
引用: 634
H-指数: 8
I10-指数 : 8
出版物: 19
Strategies for hydrologic ensemble generation and calibration: on the merits of using model-based predictors
Sophie Ricci , Philippe Sergent , Céline Monteil , François Bouttier
Journal of Hydrology 126233
2021
From research to applications – Examples of operational ensemble post-processing in France using machine learning
Maxime Taillardat , Olivier Mestre
Nonlinear Processes in Geophysics 27 ( 2) 329 -347
21
2020
Preface: Advances in post-processing and blending of deterministic and ensemble forecasts
Stephan Hemri , Sebastian Lerch , Maxime Taillardat , Stéphane Vannitsem
Nonlinear Processes in Geophysics 27 ( 4) 519 -521
2020
Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World
Stéphane Vannitsem , John Bjørnar Bremnes , Jonathan Demaeyer , Gavin R. Evans
Bulletin of the American Meteorological Society 102 ( 3)
96
2021
Forest-Based and Semiparametric Methods for the Postprocessing of Rainfall Ensemble Forecasting
Maxime Taillardat , Anne-Laure Fougères , Philippe Naveau , Olivier Mestre
Weather and Forecasting 34 ( 3) 617 -634
16
2019
Calibrated Ensemble Forecasts Using Quantile Regression Forests and Ensemble Model Output Statistics
Maxime Taillardat , Olivier Mestre , Michaël Zamo , Philippe Naveau
Monthly Weather Review 144 ( 6) 2375 -2393
177
2016
Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions
Maxime Taillardat , Anne-Laure Fougères , Philippe Naveau , Raphaël De Fondeville
International Journal of Forecasting 39 ( 3) 1448 -1459
8
2023
Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk
Romain Pic , Clément Dombry , Philippe Naveau , Maxime Taillardat
International Journal of Forecasting 39 ( 4) 1564 -1572
1
2023
Mathematical Properties of Continuous Ranked Probability Score Forecasting
Clément Dombry , Romain Pic , Philippe Naveau , Maxime Taillardat
EGU General Assembly Conference Abstracts EGU -11230
1
2023
U-Net based Methods for the Postprocessing of Precipitation Ensemble Forecasting
Romain Pic , Clément Dombry , Maxime Taillardat , Philippe Naveau
EGU General Assembly Conference Abstracts EGU -2592
2023
Vers une approche ensembliste de la prévision des crues
Anne-Laure Tiberi-Wadier , Maxime Taillardat , Nicole Goutal , Sophie Ricci
De la prévision des crues à la gestion de crise
1
2018
The EUPPBench postprocessing benchmark dataset v1. 0
Jonathan Demaeyer , Jonas Bhend , Sebastian Lerch , Cristina Primo
Earth System Science Data 15 ( 6) 2635 -2653
20
2023
The EUPPBench postprocessing benchmark dataset
Jonathan Demaeyer , Jonas Bhend , Sebastian Lerch , Cristina Primo
EMS2023 ( EMS2023-229)
2023
The EUPPBench postprocessing benchmark
Jonas Bhend , Jonathan Demaeyer , Sebastian Lerch , Cristina Primo
EGU General Assembly Conference Abstracts EGU -9328
2023
Calibrated ensemble forecasts of the height of new snow using quantile regression forests and ensemble model output statistics
Guillaume Evin , Matthieu Lafaysse , Maxime Taillardat , Michaël Zamo
Nonlinear Processes in Geophysics 28 ( 3) 467 -480
12
2021
Non-parametric Methods of post-processing for Ensemble Forecasting
Maxime Taillardat
Université Paris Saclay (COmUE)
8
2017
Skewed and mixture of Gaussian distributions for ensemble postprocessing
Maxime Taillardat
Atmosphere 12 ( 8) 966 -966
7
2021
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts
Romain Pic , Clément Dombry , Philippe Naveau , Maxime Taillardat
arXiv preprint arXiv:2407.02125
2024
Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
Romain Pic , Clément Dombry , Philippe Naveau , Maxime Taillardat
arXiv preprint arXiv:2407.00650
2024