The project is entitled 'Global Methane Flux Inference using Emulated Atmospheric Transport'. This will continue to build the collaboration in this area between the School of Chemistry and colleagues at the Schools of Geographical Sciences, and Engineering Mathematics and Technology.

It aims to develop a machine learning algorithm to efficiently simulate the transport of greenhouse gases in the atmosphere. This “emulator” will then be used with satellite methane observations to estimate emissions globally.

With an expected start date of early 2025, the project is due to run for approximately three and-a-half years.