Stöcker, Jan AlmondCaponera, Alessia2025-03-202025-03-202025-03-202024https://infoscience.epfl.ch/handle/20.500.14299/248120Motivated by global analysis of aircraft-based measurements of air pollutants and climate variables, and specifically the COVID-19 pandemic’s possible impact on ozone concentrations, a functional autoregressive model is proposed to capture global spatio-temporal variability, incorporating solar radiation cycles. Efficient estimation techniques are developed and means of suitable visualization demonstrated, paving the way for similar analyses in the future.enFunctional autoregressive processes on a spherical domain for global aircraft-based atmospheric measurementstext::conference output::conference proceedings::conference paper