We study various elements of the hydrological cycle, with a specific focus on the responses of fast-domain water-cycle processes to climate change, by analysing and characterising global climate datasets from models and satellites. 

We employ statistical methods to invert top-of-atmosphere radiances to produce observational datasets of clouds & aerosols, tropospheric water vapour and stable water vapour isotopologues from satellites.

We build models to investigate physical processes, better understand the coupling between the energy and hydrological cycles, and emulate atmospheric physics.