A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”)

A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”)

<p>Urban regions are responsible for emitting significant amounts of fossil fuel carbon dioxide (FFCO<sub>2</sub>), and emissions at the finer, city scales are more uncertain than those aggregated at the global scale. Carbon-observing satellites may provide independent top-down...

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Bibliographic Details
Main Authors: D. Wu, J. C. Lin, B. Fasoli, T. Oda, X. Ye, T. Lauvaux, E. G. Yang, E. A. Kort
Format: Article
Language:English
Published: Copernicus Publications 2018-12-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/11/4843/2018/gmd-11-4843-2018.pdf

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https://www.geosci-model-dev.net/11/4843/2018/gmd-11-4843-2018.pdf

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