I am a postdoctoral research assistant interested in the observation of aerosol-cloud interactions from satellite and ground-based sensors. My work is underpinned by the use of retrieval theory to develop rigorous and comprehensible estimates of the uncertainty affecting my products.
Ship tracks are one of the clearest signs of how human aerosol emission can alter the properties of clouds and, thereby, the Earth's energy budget. I work to produce integrated, radiatively consistent aerosol-cloud datasets that are suitable for climate monitoring and model evaluation.
As a fellow of the , I evaluate the aerosol component of the and work towards harmonising the aerosol and cloud retrievals within the . This involves software development, data generation, validation studies, and the production of statistically robust climatologies.
The variation in monthly-average aerosol optical depth over the north Atlantic in the UK Earth System Model (blue) and an ensemble of satellite datasets (colours). Despite being produced by independent teams using different methods and instruments, the satellite data are highly correlated with each other, though there remains disagreement as to the true magnitude.