I am a DPhil student on the iMIRACLI programme working on aerosol-cloud interactions. I study the relationship between aerosols and cloud properties both with traditional methods like shiptracks and with novel methods. These methods come from the fields of machine learning and causal inference. An understanding of causality is very important in this topic, because we rely on 'passive' observations rather than active experiments or interventions. Because of this, observed correlations of aerosols and cloud properties are not necessarily causal. One confounding factor, which acts on both, is humidity. In my project, I try to untangle the complex network of aerosols, cloud properties, and environmental factors.
Peter Manshausen (he/him)
Graduate Student (Marie Curie ESR)
machine learning for climate