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Article

Analysis of CO2 Concentration and Fluxes of Lisbon Portugal Using Regional CO2 Assimilation Method Based on WRF-Chem

1
Shanghai Carbon Data Research Team, Advanced Energy Systems and Equipment Development Center, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
2
Guangdong-Hong Kong-Macao Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting, Shenzhen Institute of Meteorological Innovation, Shenzhen 523335, China
3
Jiangsu Key Laboratory of Atmospheric Environment Monitoring & Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
4
Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai 201304, China
5
Shanghai Environment Monitoring Center, Application Technology Department, Shanghai 200235, China
*
Authors to whom correspondence should be addressed.
Atmosphere 2025, 16(7), 847; https://doi.org/10.3390/atmos16070847 (registering DOI)
Submission received: 3 June 2025 / Revised: 5 July 2025 / Accepted: 9 July 2025 / Published: 11 July 2025

Abstract

Cities house more than half of the world’s population and are responsible for more than 70% of the world anthropogenic CO2 emissions. Therefore, quantifications of emissions from major cities, which are only less than a hundred intense emitting spots across the globe, should allow us to monitor changes in global fossil fuel CO2 emissions in an independent, objective way. The study adopted a high-spatiotemporal-resolution regional assimilation method using satellite observation data and atmospheric transport model WRF-Chem/DART to assimilate CO2 concentration and fluxes in Lisbon, a major city in Portugal. It is based on Zhang’s assimilation method, combined OCO-2 XCO2 retrieval data, ODIAC 1 km anthropogenic CO2 emissions and Ensemble Adjustment Kalman Filter Assimilation. By employing three two-way nested domains in WRF-Chem, we refined the spatial resolution of the CO2 concentrations and fluxes over Lisbon to 3 km. The spatiotemporal distribution characteristics and main driving factors of CO2 concentrations and fluxes in Lisbon and its surrounding cities and countries were analyzed in March 2020, during the period affected by COVID-19 pandemic. The results showed that the monthly average CO2 and XCO2 concentrations in Lisbon were 420.66 ppm and 413.88 ppm, respectively, and the total flux was 0.50 Tg CO2. From a wider perspective, the findings provide a scientific foundation for urban carbon emission management and policy-making.
Keywords: regional CO2 assimilation; WRF-CHEM/DART; two-way nesting; CO2 concentration and flux; Lisbon regional CO2 assimilation; WRF-CHEM/DART; two-way nesting; CO2 concentration and flux; Lisbon

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MDPI and ACS Style

Jin, J.; Huang, Y.; Wei, C.; Wang, X.; Xu, X.; Gu, Q.; Wang, M. Analysis of CO2 Concentration and Fluxes of Lisbon Portugal Using Regional CO2 Assimilation Method Based on WRF-Chem. Atmosphere 2025, 16, 847. https://doi.org/10.3390/atmos16070847

AMA Style

Jin J, Huang Y, Wei C, Wang X, Xu X, Gu Q, Wang M. Analysis of CO2 Concentration and Fluxes of Lisbon Portugal Using Regional CO2 Assimilation Method Based on WRF-Chem. Atmosphere. 2025; 16(7):847. https://doi.org/10.3390/atmos16070847

Chicago/Turabian Style

Jin, Jiuping, Yongjian Huang, Chong Wei, Xinping Wang, Xiaojun Xu, Qianrong Gu, and Mingquan Wang. 2025. "Analysis of CO2 Concentration and Fluxes of Lisbon Portugal Using Regional CO2 Assimilation Method Based on WRF-Chem" Atmosphere 16, no. 7: 847. https://doi.org/10.3390/atmos16070847

APA Style

Jin, J., Huang, Y., Wei, C., Wang, X., Xu, X., Gu, Q., & Wang, M. (2025). Analysis of CO2 Concentration and Fluxes of Lisbon Portugal Using Regional CO2 Assimilation Method Based on WRF-Chem. Atmosphere, 16(7), 847. https://doi.org/10.3390/atmos16070847

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