Global Scale Inversions from MOPITT CO and MODIS AOD

Global Scale Inversions from MOPITT CO and MODIS AOD

Top-down observational constraints on emissions flux estimates from satellite observations of chemical composition are subject to biases and errors stemming from transport, chemistry and prior emissions estimates. In this context, we developed an ensemble data assimilation system to optimize the ini...

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Bibliographic Details
Main Authors: Benjamin Gaubert, David P. Edwards, Jeffrey L. Anderson, Avelino F. Arellano, Jérôme Barré, Rebecca R. Buchholz, Sabine Darras, Louisa K. Emmons, David Fillmore, Claire Granier, James W. Hannigan, Ivan Ortega, Kevin Raeder, Antonin Soulié, Wenfu Tang, Helen M. Worden, Daniel Ziskin
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Remote Sensing
Subjects:
carbon monoxide
aerosol optical depth
data assimilation
MOPITT
MODIS
CAM-chem
Online Access:https://www.mdpi.com/2072-4292/15/19/4813

Internet

https://www.mdpi.com/2072-4292/15/19/4813

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