Research Thesis
Climate models have grown faster than their credibility.
The number of global climate models has roughly doubled over the past decade and their resolution has improved by an order of magnitude. Their credibility over the tropics has not kept pace. I work on the gap between what we are able to build and what we are able to rely on.
What does resolution buy?Kilometre-scale models remove the dominant source of structural uncertainty in tropical rainfall. I test how much of the long-standing monsoon bias this actually fixes.
How much sampling is enough?Large ensembles separate forced change from internal variability, but only above a sample size that is rarely checked. I quantify where that threshold sits.
What happens inside the grid box?Errors that survive finer resolution are properties of what we assume, not of grid spacing. I work on cloud microphysics to find out which assumptions matter.
