Science Team
Anthony Illingworth
Emeritus Professor at the Department of Meteorology, University of Reading
Contribution to WIVERN
He is the PI of the mission and leader of the Wivern research team in Phase 0.
Alessandro Battaglia
Associate Professor at Politecnico di Torino and the University of Leicester
Contribution to WIVERN
He has expertise in space-borne Doppler radar. He will be in charge of the development of the Level 2 wind products of the mission and of the development of an end to end simulator to assess the performance of the Doppler radar. He will be assisted in his work by: – Dr. Frederic Tridon – Dr. Ali Rizik – Dr. Fabrizio Stesina – Paolo Martire – Filippo Emilio Scarsi
Mary Borderies
CNRM, Météo-France, CNRS
Current position
Since 2020 she is a researcher in the “observation” team in the NWP research division (GMAP) of the CNRM (Météo-France/CNRS). She is in charge of research and developments concerning the operational use of spaceborne active and passive microwave observations in NWP models (monitoring and data assimilation).
Contribution to WIVERN
She is conducting data assimilation experiments in order to assess the impact of WIVERN horizontal line-of-sight wind observations in the global NWP model ARPEGE of Météo-France.
Johannes Bühl
Leibniz Institute for Tropospheric Research (TROPOS)
Contribution to WIVERN
Evaluation and review of WIVERN wind retrievals and future comparison with ground-based cloud radar and wind profiler data.
Julien Delanoë
Maitre de Conférences at University of Versailles Saint Quentin en Yvelines Paris Saclay and LATMOS
Contribution to WIVERN
He has expertise in cloud radar development, operation and analysis, both ground-based and airborne. He is exploiting the airborne multiple views Doppler cloud radar RASTA to retrieve cloud and precipitation winds. These data are used to contribute to the preparation of the WIVERN mission.
Susanna Hagelin
Swedish Meteorological and Hydrological Institute (SMHI)
Contribution to WIVERN
Member of the WIVERN MAG with expertise in numerical weather prediction, limited area modelling, data assimilation and ensemble methods.
