Urban Area Observing System (UAOS) simulation experiment using DQ-1 total column  concentration observations

Yi, Jinchun; Huang, Yiyang; Pei, Zhipeng; Han, Ge

doi:https://doi.org/10.5194/acp-25-13687-2025

Articles | Volume 25, issue 20

https://doi.org/10.5194/acp-25-13687-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-13687-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 20

Research article

|

24 Oct 2025

Research article |

| 24 Oct 2025

Urban Area Observing System (UAOS) simulation experiment using DQ-1 total column concentration observations

Jinchun Yi, Yiyang Huang, Zhipeng Pei, and Ge Han

Supplement

https://doi.org/10.5194/acp-25-13687-2025-supplement

Data sets

TCCON data from Xianghe, China, Release GGG2020.R0 (Version R0) M. Zhou et al. https://doi.org/10.14291/tccon.ggg2020.xianghe01.R0

A Data-driven Upscale Product of Global Gross Primary Production, Net Ecosystem Exchange and Ecosystem Respiration J. Zeng https://doi.org/10.17595/20200227.001

ODIAC Fossil Fuel CO2 Emissions Dataset Tomohiro Oda and Shamil Maksyutov https://doi.org/10.17595/20170411.001

MYD09GA MODIS/Aqua Surface Reflectance Daily L2G Global 1km and 500m SIN Grid V006 E. Vermote and R. Wolfe https://doi.org/10.5067/MODIS/MYD09GA.006

OCO- 2 Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files, Retrospective processing V11.1r OCO-2/OCO-3 Science Team et al. https://doi.org/10.5067/8E4VLCK16O6Q

A Data-driven Upscale Product of Global Gross Primary Production, Net Ecosystem Exchange and Ecosystem Respiration, ver.2020.2 J. Zeng https://doi.org/10.17595/20200227.001

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Short summary

The inventory overestimated emissions in Beijing and Riyadh by 10–20 % and underestimated emissions in Cairo by 10–30 %. The biosphere flux has a 20–40 % impact on emissions in Beijing during certain periods. Moreover, using night-time and day-time biosphere flux data separately can improve the simulation accuracy of the same orbit by 20–70 % compared to using daily average data.