Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban XCO2 gradients from space?

Rißmann, Maximilian; Chen, Jia; Osterman, Gregory; Zhao, Xinxu; Dietrich, Florian; Makowski, Moritz; Hase, Frank; Kiel, Matthäus

doi:https://doi.org/10.5194/amt-15-6605-2022

Articles | Volume 15, issue 22

https://doi.org/10.5194/amt-15-6605-2022

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

https://doi.org/10.5194/amt-15-6605-2022

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

Articles | Volume 15, issue 22

Research article

|

17 Nov 2022

Research article |

| 17 Nov 2022

Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban X_CO₂ gradients from space?

Maximilian Rißmann, Jia Chen, Gregory Osterman, Xinxu Zhao, Florian Dietrich, Moritz Makowski, Frank Hase, and Matthäus Kiel

Data sets

OCO-2 Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files, Retrospective processing V10r (OCO2_L2_Lite_FP) OCO-2 Science Team/Michael Gunson, Annmarie Eldering https://doi.org/10.5067/E4E140XDMPO2

Short summary

The Orbiting Carbon Observatory 2 (OCO-2) measures atmospheric concentrations of the most potent greenhouse gas, CO₂, globally. By comparing its measurements to a ground-based monitoring network in Munich (MUCCnet), we find that the satellite is able to reliably detect urban CO₂ concentrations. Furthermore, spatial CO₂ differences captured by OCO-2 and MUCCnet are strongly correlated, which indicates that OCO-2 could be helpful in determining urban CO₂ emissions from space.