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Motivated 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.
Ilann Ernest Valentin Bourgeois
Emeric Rolland Georges Thibaud