Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/amt-16-581-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-581-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
Research article
 | 
30 Jan 2023
Research article |  | 30 Jan 2023

Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions

Kai Wu, Paul I. Palmer, Dien Wu, Denis Jouglet, Liang Feng, and Tom Oda

Data sets

ODIAC Fossil Fuel CO2 Emissions Dataset (Version name: ODIAC2020b) T. Oda and S. Maksyutov https://doi.org/10.17595/20170411.001

Urban Biogenic CO2 fluxes: GPP, Reco and NEE Estimates from SMUrF, 2010-2019 D. Wu and J. C. Lin https://doi.org/10.3334/ORNLDAAC/1899

Model code and software

uataq/X-STILT: X-STILT for TROPOMI and OCO-2/3 (v1.5) D. Wu and J. Lin https://doi.org/10.5281/zenodo.1241514

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Short summary
We evaluate the theoretical ability of the upcoming MicroCarb satellite to estimate urban CO2 emissions over Paris and London. We explore the relative performance of alternative two-sweep and three-sweep city observing modes and take into account the impacts of cloud cover and urban biological CO2 fluxes. Our results find both the two-sweep and three-sweep observing modes are able to reduce prior flux errors by 20 %–40 % depending on the prevailing wind direction and cloud coverage.
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