Dynamical Meteorology and Climatology Unit

David Docquier

Postdoc researcher

Research interests

  • Sea ice - ocean - atmosphere interactions in both polar regions (Arctic and Antarctic)
  • Application of causal methods, more particularly the Liang-Kleeman information flow method, to climate problems
  • Use of data from global climate models (e.g. CMIP6) and satellite observations
  • Use of machine learning methods

3 recent publications

D. Docquier, F. Massonnet, B. Richaud, T. Fichefet, H. Goosse, B. Mezzina, D. Topál, S. Vannitsem (2025). Drivers of summer Antarctic sea-ice extent at interannual time scale in CMIP6 large ensembles based on information flow. In press for Climate Dynamics.

Docquier, D., F. Massonnet, F. Ragone, A. Sticker, T. Fichefet, S. Vannitsem (2024). Drivers of summer Arctic sea-ice extent at interannual time scale in CMIP6 large ensembles revealed by information flow. Scientific Reports, 14(24236).

Docquier, D., G. Di Capua, R. V. Donner, C. A. L. Pires, A. Simon, S. Vannitsem (2024). A comparison of two causal methods in the context of climate analyses. Nonlinear Processes in Geophysics, 31(1): 115-136.

More publications HERE.

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