Odran Sourdeval
Projects
Microphysical Process Characterization of Mixed Phase Clouds in the European Arctic (MPC2)
2023 – 2027 (ANR) | Work package leader
• Understanding Arctic Mixed-phase cloud processes through improved satellite remote-sensing products
Cloud Droplet Number Concentration satellite retrievals Advanced by Atmospheric models for Assessing Aerosol-Cloud Interactions (CDNC4aci)
2021 – 2024 (ANR / DFG) | Project co-leader
• Improvement of global droplet number concentration retrievals via a novel satellite - modelling joint approach.
• Closure in the effective radiative forcing associated with aerosol - cloud interaction from model / observations.
Expecting EarthCare, Learning from the A-Train (EECLAT)
2015 – 2024 (CNES) | Work package leader
• Development of a multi-layer cloud retrieval algorithm and assessment of existing satellite products.
• Preparation of algorithms in perspective of the future satellite mission EarthCare.
Clouds from IR Sounders and Synergistic Systems as 3D structures (CIRSsys3D)
2023 – 2024 (CNES) | Project co-leader
• Understanding the constraints on particle size distributions from infrared and active sensors
Infrared Atmospheric Sounding Interferometer (IASI)
2020 – 2023 (CNES) | Work package leader
• Assessment of the sensitivity of IASI measurements to the size distribution of ice particles.
Detection of ice cloud formation mechanisms from satellite observations
2021-2023 (Région Hauts-de-France - PhD) | Project co-leader
• Understanding ice formation processes associated with satellite observations through novel trajectory approaches
The German Initiative for the Validation of EarthCARE (GIVE)
2017 – 2018 (ESA) | Work package leader
• Calibration of operational algorithms of the EarthCare mission using high-resolution modelling.
Forcing in the Long-wave spectrum due to Aerosol-cloud interactions : Satellite and modeling vs. HALO (FLASH)
2016 – 2018 (DFG) | Project member
• Joint satellite – in-situ assessment of interactions between anthropogenic aerosols and ice clouds.
High Definition Clouds and Precipitation for Climate Prediction (HD(CP)2)
2012 – 2018 (BMBF) | Project member
• Evaluation of high-resolution ICON-LEM simulations based on satellite observations.
• Detection-attribution of cloud adjustments from anthropogenic aerosol perturbations in multi-scale simulations.