Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO<sub>2</sub> and CO

Wu, Dien; Liu, Junjie; Wennberg, Paul O.; Palmer, Paul I.; Nelson, Robert R.; Kiel, Matthäus; Eldering, Annmarie

doi:https://doi.org/10.5194/acp-22-14547-2022

Articles | Volume 22, issue 22

https://doi.org/10.5194/acp-22-14547-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-22-14547-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 22

Research article

|

16 Nov 2022

Research article |

| 16 Nov 2022

Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO₂ and CO

Dien Wu, Junjie Liu, Paul O. Wennberg, Paul I. Palmer, Robert R. Nelson, Matthäus Kiel, and Annmarie Eldering

Supplement

https://doi.org/10.5194/acp-22-14547-2022-supplement

Data sets

SMUrF Dien Wu and John C. Lin https://doi.org/10.3334/ORNLDAAC/1899

Copernicus Sentinel-5P, TROPOMI Level 2 Carbon Monoxide total column products ESA https://doi.org/10.5270/S5P-1hkp7rp

OCO-3 B10 QTS Evaluation XCO2 Lite Files A. Eldering https://doi.org/10.22002/D1.2046

uataq/X-STILT: X-STILT (v1.4.1) Dien Wu, Benjamin Fasoli, and John C. Lin https://doi.org/10.5281/zenodo.2556989

Global map of Local Climate Zones (1.0.0) Matthias Demuzere, Jonas Kittner, Alberto Martilli, Gerald Mills, Christian Moede, Iain D. Stewart, Jasper van Vliet, and Benjamin Bechtel. https://doi.org/10.5281/zenodo.6364594

Model code and software

X-STILT (OCO-2/3, TROPOMI) Dien Wu and John C. Lin https://github.com/uataq/X-STILT

Download

Article (12882 KB)
Full-text XML

Short summary

Prior studies have derived the combustion efficiency for a region/city using observed CO₂ and CO. We further zoomed into the urban domain and accounted for factors affecting the calculation of spatially resolved combustion efficiency from two satellites. The intra-city variability in combustion efficiency was linked to heavy industry within Shanghai and LA without relying on emission inventories. Such an approach can be applied when analyzing data from future geostationary satellites.

Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO

Supplement

Data sets

Model code and software

Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO₂ and CO