EXOCONDENSE (Climate Dynamics of Exoplanets with Condensible Atmospheres). The over-arching objective of this project is to pioneer the foundations needed for understanding condensible phenomena in climate dynamics across the broad range of atmospheric compositions and planetary configurations presented by the new era of exoplanet discovery and characterization. The project is led by Professor Raymond Pierrehumbert
iMIRACLI (innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts). This MSCA Innovative Training Network brings together leading climate and machine learning scientists across Europe with non-academic partners to educate a new generation of climate data scientists. The project is led by Professor Philip Stier
ITHACA (An Information Theoretic Approach to Improving the Reliability of Weather and Climate Simulations). The aim of this project is to develop a new synergy between climate and computer science to increase the accuracy and hence reliability of comprehensive weather and climate models. The project is led by Professor Tim Palmer
RECAP (constRaining the EffeCts of Aerosols on Precipitation). This project aims to systematically explore and deliver the first comprehensive and physically consistent assessment of the effect of aerosols on precipitation across scales, uniting energetic and process-driven approaches. The project is led by Professor Philip Stier.