Land Surface Processes Computational Scientist
CurrentModeling land surface processes on several national supercomputers. Supporting the U. of Reading’s community of land surface processes researchers. Working with land- modeling and climate/weather modeling software packages (JULES, SDGVM, AquaCrop, & the Met Office Unified Model) and model-evaluation software packages (ILAMB, AutoAssess, & ESMValTool) for local, regional, and global models. Analyzing rain-gauge data, CORDEX regional climate-model data, downscaled global climate- model CMIP data, and AquaCrop crop-model estimates in the Peruvian Andes for the CROPP project. Working on improving the parametrization of soils, vegetation, & urban landscapes in JULES. Working with the Sheffield Dynamic Global Vegetation Model (SDGVM) for the European Drought 2018 model-intercomparison project (MIP) and the TRENDY Global Carbon Budget MIP. With SDGVM model runs, co-authored a paper in Nature on evidence for a destabilizing land-sink for carbon. Developing SDGVM to use gross land-cover-change data. Co-organized a Departmental Research Away-Day in 2024.