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SUMMARY:Towards emulated Lagrangian particle dispersion model footprints f
 or satellite observations - Dr Elena Fillola Mayoral\, University of Brist
 ol
DTSTART:20230509T130000Z
DTEND:20230509T140000Z
UID:TALK200737@talks.cam.ac.uk
CONTACT:Vichawan (Print) Sakulsupich
DESCRIPTION:Lagrangian particle dispersion models (LPDMs) have been used e
 xtensively to calculate source-receptor relationships (“footprints”) f
 or use in greenhouse gas (GHG) flux inversions. They do not scale well to 
 very large datasets\, which makes them unsuitable for use in GHG inversion
 s using high-resolution satellite instruments such as TROPOMI. In this wor
 k\, we demonstrate how Machine Learning (ML) can be used to accelerate foo
 tprint production\, by first presenting a proof-of-concept emulator for gr
 ound-based site observations\, and then discussing a new emulator architec
 ture for LPDMs applied to satellite observations. We propose a Encode-Proc
 ess-Decode Graph Network architecture and show some preliminary results fo
 r footprints predicted over Brazil\, for a reduced domain. \n\n-----------
 ---\n\nTopic: CAS Seminar: Dr Elena Fillola Mayoral\nTime: May 9\, 2023 02
 :00 PM London\n\nJoin Zoom Meeting\nhttps://us02web.zoom.us/j/87824253668?
 pwd=eHpVZ1VwemkxbTY1a1ZYdmlUZS9Pdz09\n\nMeeting ID: 878 2425 3668\nPasscod
 e: 961020\n
LOCATION:Zoom https://us02web.zoom.us/j/87824253668?pwd=eHpVZ1VwemkxbTY1a1
 ZYdmlUZS9Pdz09
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