DKRZ Project

1473: Advances in Urban GHG Emission Modeling

active project

Principal investigator: Jia Chen

Technische Universität München, Department of Electrical Engineering (Community project)

Project abstract

Report 1/2025 to 12/2025
Report 1/2026 to 12/2026

Publications

DOI: 10.5194/egusphere-egu26-2329, Luo, Q., Segura-Barrero, R., Badia, A., Lauvaux, T., Li, J., Chen, J., & Villalba, G. (2026). Quantifying Urban Biogenic CO2 Fluxes in Greenhouse Gas Budgets: A Scalable Framework and Case Study. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu26-2329
DOI: 10.5194/egusphere-egu25-2888, Molinier, B., Kljun, N., Aigner, P., Brunner, D., Chen, J., Christen, A., Constantin, L., Denier van der Gon, H., Hilland, R., Holst, C., Kühbacher, D., Li, J., Maiwald, R., Stagakis, S., Super, I., & Vardag, S. (2025). Identifying Greenhouse Gas Emission Trends and Validating Hotspot Locations via Flux Measurements and Footprints in Three Pilot Cities. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu25-2888
DOI: 10.5194/egusphere-egu25-10046, Brunner, D., Bernet, L., Constantin, L., Molinier, B., Kljun, N., Hilland, R., Christen, A., Super, I., Li, J., Chen, J., Stagakis, S., & Emmenegger, L. (2025). Measurement and modelling of Eddy-covariance fluxes of CO2 in the city of Zurich. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu25-10046
DOI: 10.5194/icuc12-407, Stagakis, S., Bignotti, L., Li, J., Emberger, S., Loubet, B., Fortineau, A., Chen, J., Mauder, M., Buchmann, N., & Kalberer, M. (2025). Assessing the biogenic CO2 fluxes in urban green areas using an observation-constrained modelling approach. Copernicus GmbH. https://doi.org/10.5194/icuc12-407
DOI: 10.5194/egusphere-2026-3161, Grasberger, T., Chen, J., Zanger, B., Lupoli, A., Oliveira Makowski, M., Stauber, J., and Krahmer, F.: Urban Atmospheric Inverse Modeling via Hybrid Reconstruction Methods based on Compressed Sensing, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2026-3161, 2026.
DOI: 10.1029/2025EF007458, Li, J., Chen, J., Glauch, T., Brunner, D., Marshall, J., Ponomarev, N., et al. (2026). Fine-scale estimation of urban biogenic CO2 fluxes: A novel framework integrating multiple versions of vegetation photosynthesis and respiration models and in situ measurements. Earth's Future, 14, e2025EF007458. https://doi.org/10.1029/2025EF007458
DOI: 10.5194/egusphere-egu26-17311, Oliveira Makowski, M., Tang, H., Brase, R., Klappenbach, F., Luther, A., Stauber, J., Grasberger, T., Zhao, X., and Chen, J.: RETRO: City-Scale High-Resolution Footprint Modeling Using LPDMs, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17311, https://doi.org/10.5194/egusphere-egu26-17311, 2026.
DOI: 10.5194/egusphere-egu26-17218, Li, J., Chen, J., Brunner, D., Öttl, D., Holst, C. C., and Tang, H.: Urban CO2 Emission Assessment based on High-Resolution Dispersion Simulations and MCMC based Inversion, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-17218, https://doi.org/10.5194/egusphere-egu26-17218, 2026.
Grasberger, T., Chen, J., Zanger, B., Lupoli, A., Oliveira Makowski, M., Stauber, J., Luther, A., and Krahmer, F.: Urban Atmospheric Inverse Modeling via Hybrid Sparse and Smooth Reconstruction Methods, ICOS Science Conference 2026, Lund, Sweden, 15–17 September 2026, Abstract 339, https://www.icos-cp.eu/news-and-events/science-conference/icos2026sc/abstracts, 2026
Stauber, J., Chen, J., Li, J., Luther, A., Oliveira Makowski, M., Tang, H., and Brunner, D.: Quantifying Munich’s CO₂ and CH₄ emissions from 2019 to 2025 using MUCCnet data and Bayesian inversion, ICOS Science Conference 2026, Lund, Sweden, 15–17 September 2026, Abstract 326, https://www.icos-cp.eu/news-and-events/science-conference/icos2026sc/abstracts, 2026.
Chen, J., Stauber, J., Kühbacher, D., Li, J., Aigner, P., Molinier, B., Kljun, N., Kunz, A.-K., Christen, A., Hammer, S., Hilland, R., Luther, A., Oliveira Makowski, M., Wenzel, A., Dietrich, F., Stagakis, S., Holst, C. C., Lan, C., and Brunner, D.: Multi-Scale Greenhouse Gas Emission Monitoring and Assessment System in the ICOS Pilot City Munich, ICOS Science Conference 2026, Lund, Sweden, 15–17 September 2026, Abstract 79, https://www.icos-cp.eu/news-and-events/science-conference/icos2026sc/abstracts, 2026.
DOI: 10.1016/j.aeaoa.2026.100524, Kunz, A.-K., Hammer, S., Aigner, P., Borchardt, L., Chen, J., Della Coletta, J., Eritt, M., Friedrich, R., Gutiérrez, X., Hilland, R., Holst, C., Jordan, A., Kljun, N., Kneißl, R., Kühbacher, D., Lan, C., Li, J., Molinier, B., Preunkert, S., & Christen, A. (2026). Continuous fossil fuel CO2 emission estimates based on 14C-calibrated urban eddy-covariance fluxes of co-emitted species. Atmospheric Environment: X, 32, 100524. https://doi.org/10.1016/j.aeaoa.2026.100524
DOI: 10.1021/acsestair.6c00148, Molinier, B., Aigner, P., Brunner, D., Chen, J., Christen, A., Constantin, L., Denier van der Gon, H., Hilland, R., Kühbacher, D., Li, J., Maiwald, R., Super, I., Vardag, S. N., & Kljun, N. (2026). Insights from the Convolution of Emission Inventories with Flux Footprints from Tall Eddy Covariance Towers at Three European Cities. ACS EST Air, 3(6), 1664–1676. https://doi.org/10.1021/acsestair.6c00148
DOI: 10.5194/acp-25-14387-2025, Brunner, D., Suter, I., Bernet, L., Constantin, L., Grange, S. K., Rubli, P., Li, J., Chen, J., Bigi, A., & Emmenegger, L. (2025). Building-resolving simulations of anthropogenic and biospheric CO2 in the city of Zurich with GRAMM/GRAL. Atmospheric Chemistry and Physics, 25(21), 14387–14410. https://doi.org/10.5194/acp-25-14387-2025
DOI: 10.1029/2025JD043939, Zhang, J., Chen, J., Vardag, S. N., & Tang, H. (2025). Inverse Estimation of Urban Methane Emissions Using Both Column and Surface Observations: An OSSE Study. Journal of Geophysical Research: Atmospheres, 130(19). https://doi.org/10.1029/2025jd043939
DOI: 10.1029/2024EA004175, Zhang, J., Chen, J., Wu, K., & Tang, H. (2025). Analyzing the Inversion Performance of a Permanent Urban Column GHG Network: An OSSE Perspective. Earth and Space Science, 12(5). https://doi.org/10.1029/2024ea004175
DOI: 10.5194/bg-22-2133-2025, Stagakis, S., Brunner, D., Li, J., Backman, L., Karvonen, A., Constantin, L., Järvi, L., Havu, M., Chen, J., Emberger, S., & Kulmala, L. (2025). Intercomparison of biogenic CO2 flux models in four urban parks in the city of Zurich. Biogeosciences, 22(9), 2133–2161. https://doi.org/10.5194/bg-22-2133-2025
DOI: 10.2760/5398979, European Commission. Joint Research Centre, Ulpiani, G., Vetters, N., Gevers Deynoot, C., Aktas, S., Barberi, M., Rodriguez Mendez, Q., Prütz, R., Fuss, S., Canova, M., Chen, J., & Li, J. (2026). Guidance on negative emissions for cities. Publications Office of the European Union. https://doi.org/10.2760/5398979
DOI: 10.5194/egusphere-2026-204, Klappenbach, F., Chen, J., Makowski, M., Luther, A., Cohen, R. C., Franklin, J. E., Wofsy, S., & Jones, T. (2026). Novel method to locate and quantify point-source methane emissions using time series of ground-based column observations. Copernicus GmbH. https://doi.org/10.5194/egusphere-2026-204
DOI: 10.5194/egusphere-egu25-11711, Luo, Q., Segura-Barrero, R., Badia, A., Lauvaux, T., Li, J., Chen, J., & Villalba, G. (2025). High-Resolution Quantification of Biogenic CO2 Fluxes over a Metropolitan Area. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu25-11711
DOI: 10.5194/egusphere-egu25-16731, V. Balamurugan, J. Chen, H. Saathoff, C. Claus Holst, A. Wenzel, A. Abu-Hani, Y. Li, Y. Li, S. Abou-Rizk, F. N Keutsch, High-Resolution LES-Based Air Quality Modeling Over Munich: Evaluation of Model Performance, and Pollution Drivers, (2025). https://doi.org/10.5194/egusphere-egu25-16731
DOI: 10.5194/icuc12-721, J. Chen, J. Stauber, J. Li, P. Aigner, D. Kühbacher, M. Makowski, A. Luther, A. Wenzel, H. Tang, J. Hinderer, F. Dietrich, C. Asam, Observational and Modeling Tools for Monitoring Urban Greenhouse Gas Emissions: Results of the ICOS Pilot City Munich, (2025). https://doi.org/10.5194/icuc12-721
DOI: 10.5194/egusphere-egu25-17841, J. Stauber, J. Chen, F. Klappenbach, J. Li, A. Luther, M. Makowski, H. Tang, N. Ponomarev, D. Brunner, Assessment of Munich's CO2 emissions via Bayesian inversion using MUCCnet data from 2020-2025, (2025). https://doi.org/10.5194/egusphere-egu25-17841