SPECQ Damien

Researcher in subseasonal-to-seasonal climate predictability

Research group in large-scale meteorology and climate (GMGEC)
PASTEL team (Seasonal predictability and teleconnections)

CNRM, Université de Toulouse, Météo-France, CNRS
42, Av. G. Coriolis
31057 Toulouse Cedex 1, France

Tél. +33 (0) 5 61 07 93 34

E-mail : damien.specq@meteo.fr

 Research

  • Subseasonal (S2S) and seasonal forecasting with coupled climate models
  • Analysis of teleconnections and other sources of predictability, with specific interest on tropical climate variability and its impacts
  • Ensemble forecast correction, calibration and downscaling with statistical methodes
  • Forecast verification

 Curriculum

2017-2020

  • Phd thesis
    Supervised by Lauriane Batté and Michel Déqué. Defence date : 6 November 2020
    Title: Predictability of heavy precipitation at the subseasonal timescales in the southwest tropical Pacific
    Available here

2015-2016

  • Master’s degree "Water, Air, Pollution, Energy", Université Paris-Saclay and Université Pierre et Marie Curie, Paris, France
  • Exchange semester at Columbia University (New York), Department of Earth and Environmental Sciences
  • Research internship, Institut de Recherche pour le Développement, Nouméa (New Caledonia)
    Supervised by Christophe Menkes, Jérôme Lefèvre and Gilles Bellon
    Title: Diurnal cycle over New Caledonia in warm season (November-April) : influence of Madden-Julian oscillation and weather regimes. Available here.

2012-2015

  • Ecole polytechnique, master’s degree in engineering

 Publications

2022

  • Specq, D., L. Batté (2022). Do subseasonal forecasts take advantage of Madden-Julian oscillation windows of opportunity? Atmospheric Science Letters, https://doi.org/10.1002/asl.1078

2021

  • Ardilouze, C., D. Specq, L. Batté, C. Cassou (2021). Flow dependence of wintertime subseasonal prediction skill over Europe. Weather and Climate Dynamics, https://doi.org/10.5194/wcd-2-1033-2021

2020

  • Specq, D., L. Batté (2020). Improving subseasonal precipitation forecasts through a statistical-dynamical approach: application to the southwest tropical Pacific. Climate Dynamics, https://doi.org/10.1007/s00382-020-05355-7
  • Specq, D., L. Batté, M. Déqué, C. Ardilouze (2020). Multimodel forecasting of precipitation at subseasonal timescales over the southwest tropical Pacific. Earth and Space Science, https://doi.org/10.1029/2019EA001003
  • Specq, D., G. Bellon, A. Peltier, J. Lefèvre, C. Menkes (2020). Influence of subseasonal variability on the diurnal cycle of precipitation on a mountainous island: the case of New Caledonia. Monthly Weather Review, https://doi.org/10.1175/MWR-D-19-0177.1

 Oral presentations

2022

  • Contribution to the "Challenge to improve S2S predictions using Artificial Intelligence". WMO S2S Prediction Project Monthly Webinar, online, january 2022

2021

  • Do subseasonal forecasts take advantage of windows of opportunity for heavy precipitation?. WMO S2S Prediction Project Monthly Webinar on Predicting Extreme Weather, online, september 2021
  • A statistical-dynamical approach to improve subseasonal precipitation forecasts: application to the southwest tropical Pacific. EGU General Assembly, vEGU21: Gather Online, april 2021

2019

  • Subseasonal predictability of heavy precipitation in the southwest tropical Pacific in relation with the Madden-Julian Oscillation. International Meeting on Statistical Climatology, Toulouse (France), june 2019
  • Forecasting heavy precipitation at the subseasonal timescales: application to the southwest tropical Pacific. EGU General Assembly, Vienna (Austria), april 2019
  • Benefits of a multimodel approach for forecasting precipitation over New Caledonia. Workshop on predictability, dynamics and applications research using the TIGGE and S2S ensembles, ECMWF, Reading (United Kingdom), april 2019


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.