University of Cambridge > Talks.cam > Centre for Atmospheric Science seminars, Chemistry Dept. > Towards emulated Lagrangian particle dispersion model footprints for satellite observations

Towards emulated Lagrangian particle dispersion model footprints for satellite observations

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Lagrangian particle dispersion models (LPDMs) have been used extensively to calculate source-receptor relationships (โ€œfootprintsโ€) for use in greenhouse gas (GHG) flux inversions. They do not scale well to very large datasets, which makes them unsuitable for use in GHG inversions using high-resolution satellite instruments such as TROPOMI . In this work, we demonstrate how Machine Learning (ML) can be used to accelerate footprint production, by first presenting a proof-of-concept emulator for ground-based site observations, and then discussing a new emulator architecture for LPD Ms applied to satellite observations. We propose a Encode-Process-Decode Graph Network architecture and show some preliminary results for footprints predicted over Brazil, for a reduced domain.

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Topic: CAS Seminar: Dr Elena Fillola Mayoral Time: May 9, 2023 02:00 PM London

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Meeting ID: 878 2425 3668 Passcode: 961020

This talk is part of the Centre for Atmospheric Science seminars, Chemistry Dept. series.

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