EGU2020-8907, updated on 12 Jun 2020
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Climate Advanced Forecasting of sub-seasonal Extremes (CAFE), ITN Project

Alvaro Corral1 and the CAFE-H2020-MSCA-ITN Team*
Alvaro Corral and the CAFE-H2020-MSCA-ITN Team
  • 1Centre de Recerca Matematica, Spain (
  • *A full list of authors appears at the end of the abstract

The CAFE Project is a Marie S. Curie Innovative-Training-Network (ITN) project funded by the EU. The ultimate goal of the CAFE project is to contribute to the improvement of sub-seasonal predictability of extreme weather events. This will be addressed through a structured and cross-disciplinary program, training 12 early stage researchers who undertake their PhD theses. CAFE brings together a team of co-supervisors with complementary expertise in climate science, meteorology, statistics and nonlinear physics.

The CAFE team comprises ten beneficiaries (seven academic centres, one governmental agency, one intergovernmental agency and one company: ARIA, CRM, CSIC, ECMWF, MeteoFrance, MPIPKS, PIK, TUBAF, UPC, UR) and ten partner organizations (CEA and Munich Re, among them).

CAFE research is organized into three main lines: Atmospheric and oceanic processes, Analysis of extremes, and Tools for predictability, all focused on the sub-seasonal time scale. This includes the study of Rossby wave packets, Madden-Julian oscillation, Lagrangian coherent structures, ENSO-related extreme weather anomalies, cascades of extreme events, extreme precipitation, large-scale atmospheric flow patterns, and stochastic weather generators, among other topics.

Information about the CAFE project will be updated at:

This project receives funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813844.


Marcelo Barreiro, Alvaro Corral, Celine Deandreis, Reik Donner, Herve Douville, Noemie Ehstand, Eberhard Faust, Laura Ferranti, Shraddha Gupta, Emilio Hernandez-Garcia, Pedro Herrera, Xinjia Hu, Amal John, Holger Kantz, Meriem Krouma, Juergen Kurths, , Linus Magnusson, Cristina Masoller, Nikolaos Mastrantonas, Joerg Matschullat, Monica Minjares, Florian Pappenberger, Iago Perez, Niclas Rieger, Emmanuel Rouges, Riccardo Silini, Antonio Turiel, Pascal Yiou

How to cite: Corral, A. and the CAFE-H2020-MSCA-ITN Team: Climate Advanced Forecasting of sub-seasonal Extremes (CAFE), ITN Project, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8907,, 2020


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