TAILLARDAT Maxime



Maxime TAILLARDAT

Météo-France - CNRM UMR 3589

Numerical Weather Prediction Research Department

Research and Experiments on Cyclogenesis and Weather Fronts

Tél. +33 (0) 4 26 73 73 89

maxime dot taillardat at meteo dot fr

@twitter
Linkedin
ORCID
Google Scholar

Ma page en français

  Research interests

Also engineer in the Statistical Forecasting, Monitoring and Verification team in Météo-France, my research interests are at the crossing between computational statistics and environmental sciences :

- Statistical post-processing of ensemble forecasts and their economical value.

- Evaluation of probabilistic and ensemble forecasts.

- Extreme events.

- Applications of ensemble forecasts for decision making.

  Short resume

- 2014 - 2017 : Ph.D. in meteorology, oceanography and environmental sciences, Paris-Saclay University, Versailles, France : Non-Parametric Methods of post-processing for Ensemble Forecasting under the supervision of Philippe Naveau, Anne-Laure Fougères et Olivier Mestre

- 2013 - 2014 : M.Sc. in computer science, ENSEEIHT-UPS, Toulouse, France

- 2011 - 2014 : M.Sc. in Meteorology Engineering (specialty in Statistics and machine learning), ENM, Toulouse, France .

  Current projects

- 2021 - 2024 : French funding agency for research, "T-REX" project, lead by Clément Dombry (LMB, Besançon)

- 2019 - 2021 : Horizon 2020 - European Union, "EoCoE 2" project, lead by CEA (Saclay)

  Past projects

- 2015 - 2018 : Horizon 2020 - European Union, "EoCoE" project, lead by CEA (Saclay)

 Publications

Working or accepted papers

- Taillardat, M., Fougères, A. L., Naveau, P., & de Fondeville, R. Extreme events evaluation using CRPS distributions. arXiv preprint arXiv:1905.04022.

Peer-reviewed articles

2016

- Taillardat, M., Mestre, O., Zamo, M., & Naveau, P. Calibrated ensemble forecasts using quantile regression forests and ensemble model output statistics. Monthly Weather Review, 144(6), 2375-2393.

2019

- Taillardat, M., Fougères, A. L., Naveau, P., & Mestre, O. Forest-based and semiparametric methods for the postprocessing of rainfall ensemble forecasting. Weather and Forecasting, 34(3), 617-634.

2020

- Taillardat, M., & Mestre, O. From research to applications–examples of operational ensemble post-processing in France using machine learning. Nonlinear Processes in Geophysics, 27(2), 329-347.

- Hemri, S., Lerch, S., Taillardat, M., Vannitsem, S., & Wilks, D. S. (2020). Preface: Advances in post-processing and blending of deterministic and ensemble forecasts. Nonlinear Processes in Geophysics, 27(4), 519-521.

2021

- Vannitsem, S., Bremnes, J.B., Demaeyer, J., Evans, G.R., Flowerdew, J., Hemri, S., Lerch, S., Roberts, N., Theis, S., Atencia, A., Ben Bouallègue, Z., Bhend, J., Dabernig, M., De Cruz, L., Hieta, L., Mestre, O., Moret, L., Odak Plenković, I., Schmeits, M., Taillardat, M., Van den Bergh, J., Van Schaeybroeck, B., Whan, K., Ylhaisi, J. Statistical Postprocessing for Weather Forecasts—Review, Challenges and Avenues in a Big Data World. Bulletin of the American Meteorological Society, 102(3), 681-699.

- Tiberi-Wadier, A. L., Goutal, N., Ricci, S., Sergent, P., Taillardat, M., Bouttier, F., & Monteil, C. Strategies for hydrologic ensemble generation and calibration: on the merits of using model-based predictors. Journal of Hydrology, 599, 126233.

- Taillardat, M. Skewed and Mixture of Gaussian Distributions for Ensemble Postprocessing. Atmosphere, 12(8), 966.

- Evin, G., Lafaysse, M., Taillardat, M., & Zamo, M. Calibrated ensemble forecasts of the height of new snow using quantile regression forests and ensemble model output statistics , Nonlin. Processes Geophys., 28, 467–480.

  Professional activities

- Associate Editor for Monthly Weather Review since 2021

- Guest Editor for Nonlinear Processes in Geophysics, 2019-2020

- Co-organization of the session Advances in statistical post-processing, blending and verification of deterministic and ensemble forecasts, European Geosciences Union General Assembly, Vienna (Austria) since 2019

- Member of the French Statistical Society

- Member of the European Geosciences Union

- Reviewer for Monthly Weather review, Nonlinear Processes in Geophysics, Meteorological Applications, Atmospheric Science Letters, Urban Climate, Quarterly Journal of the Royal Meteorological Society, Meteorologische Zeitschrift.

  Invited presentations

2016

- NCAR CISL ToY Workshop (Boulder, USA)
- Rencontres Lyonnaises de Statistique (Lyon, France)

2017

- Journée Hydro-Stats Lyonnaise (Lyon, France)

2018

- ANR DESIRE Workshop (Rennes, France)

2019

- VALPRED Workshop (Aussois, France)
- Seminar at Centre d’Etude de la Neige (Grenoble, France)
- GRASPA-TIES seminar (Pescara, Italy)

2020

- Journée Impacts-CJD AuRa (Grenoble, France)
- Interview for France 3 TV Alpes (Grenoble, France)
- VALPRED II Workshop (Aussois, France)
- ECMWF Machine Learning seminar series (Reading -remotely-, United Kingdom)

2021

- Journée CJD 85 (La Roche sur Yon -remotely-, France)
- SRNWP-EPS EUMETNET Workshop (Madrid -remotely-, Spain)

  Teaching

- 2014 - 2016 : Bayesian Analysis, Lecture, ENM-ENSEEIHT, Toulouse.
- 2016 : Statistical Analysis & Probability, Lecture, Polytech’Lyon, Lyon.
- 2021 : Inferential Statistics, Lecture, Polytech’Lyon, Lyon.

  Miscellaneous

- R Package ExtremeIndex



No one shall be held responsible, scientifically or otherwise for the content of these pages / articles, but the authors themselves and in no way the responsibility of the CNRM. - Last update : 11/2021.