Scott is an air pollution specialist with 20 years of experience and is the Knowledge Leader in Ricardo's team of air quality modelling scientists. His main work involves preparing atmospheric composition models for clients around the world at scales ranging from cul-de-sacs to continents. Scott has been fortunate enough to deliver air quality modelling projects in the UK, Europe, Middle East, China and South Korea for a range of local and national governments and clients in industry.
He is an experienced data scientist and programmer. A recent growing focus of Scott’s work is writing python programs to control air quality models to make our work more efficient and reproducible. He is the lead author of Ricardo’s RapidAIR and RapidEMS air quality and road emissions modelling platforms. He has also written programs to control other aspects of air quality modelling such as met data acquisition and processing, and automation of complex error prone manual methodologies. His air quality modelling software expertise covers the usual pollution simulation tools and methods (AERMOD, ADMS, ADMS-Roads, CALPUFF, HYSPLIT, OpenFOAM CFD, WRF-Chem), meteorological modelling (WRF, WRF EMS) and meteorological processing codes like MMIF and CALWRF.