Elena Fillola(She/Her)University of Bristol
Elena is a PhD student at the University of Bristol, working on using ML to accelerate greenhouse gas emissions monitoring. Her current research revolves around emulating atmospheric dispersion models, enabling more efficient simulations of the movement of gases like methane in the atmosphere. |
 |
TalksAccelerating GHG emissions inference using Graph Neural Networks24-Apr-24Inverse modelling systems relying on Lagrangian Particle Dispersion Models (LPDMs) are a popular way to quantify greenhouse gas (GHG) emissions using atmospheric observations, providing independent validation to countries' self-reported emissions. However, the increased volume of satellite measurements cannot be fully leveraged due to computational bottlenecks. Here, we propose a data-driven architecture with Graph Neural Networks that emulates the outputs of LPDMs using only meteorological inputs, and demonstrate it in application with results for satellite measurements over Brazil. |