Temporal activity profiles of CO2, CH4, and three air pollutants (NOx, CO, PM) for the City of Munich for the period 2019–2024, developed within the H2020 project ICOS Cities PAUL Pilot Applications in Urban Landscapes, and documented in the related GitHub repository (https://github.com/tum-esm/tum-mci). The activity profiles are derived from local data for the sectors GNFR A: Public Power, GNFR C: Other Stationary Combustion, GNFR F: Road Transport, and additionally Human Respiration. Timestamps include timezone information (UTC, UTC+1, UTC+2). Each profile provides a scaling factor that should be applied to the mean hourly emission rate (total annual emissions / total hours of the year). This dataset complements the gridded annual anthropogenic emission inventory for the City of Munich: Kühbacher, D., Aigner, P., Chen, J., Hinderer, J., Super, I., Denier van der Gon, H., Dröge, R., Schoenmakers, E., Hohenberger, T., 2025. Gridded anthropogenic emissions of CO2, CH4 and co-emitted pollutants for the city of Munich for the period 2019-2024. https://doi.org/10.18160/2K5S-967C. Note: the datasets in this collection version were updated by fixing the issue of missing dates in the GNFR_F_csee.csv temporal profile, and replacing the corresponding PNG bitmap files.
@misc{https://doi.org/10.18160/z2cb-jkq2,
doi = {10.18160/Z2CB-JKQ2},
url = {https://citymeta.icos-cp.eu/collections/IZT-DSkdfUcC5DTrarADPqjQ},
author = {Aigner, Patrick and Kühbacher, Daniel and Chen, Jia and Althammer, Thomas and Denier van der Gon, Hugo and Hinderer, Julian and Suhendra, Michael and Super, Ingrid and Yirtar, Beyza},
keywords = {CH4, CO, CO2, NOx, PM, air pollutants, emission inventory, human respiration, other stationary combustion, public power, road transport, temporal profiles, urban emissions},
title = {Temporal Activity Profiles for the City of Munich (2019-2024)},
publisher = {ICOS ERIC - Carbon Portal},
year = {2025},
copyright = {Creative Commons Attribution 4.0 International}
}
TY - GEN T1 - Temporal Activity Profiles for the City of Munich (2019-2024) AU - Aigner, Patrick AU - Kühbacher, Daniel AU - Chen, Jia AU - Althammer, Thomas AU - Denier van der Gon, Hugo AU - Hinderer, Julian AU - Suhendra, Michael AU - Super, Ingrid AU - Yirtar, Beyza DO - 10.18160/Z2CB-JKQ2 UR - https://citymeta.icos-cp.eu/collections/IZT-DSkdfUcC5DTrarADPqjQ AB - Temporal activity profiles of CO2, CH4, and three air pollutants (NOx, CO, PM) for the City of Munich for the period 2019–2024, developed within the H2020 project ICOS Cities PAUL Pilot Applications in Urban Landscapes, and documented in the related GitHub repository (https://github.com/tum-esm/tum-mci). The activity profiles are derived from local data for the sectors GNFR A: Public Power, GNFR C: Other Stationary Combustion, GNFR F: Road Transport, and additionally Human Respiration. Timestamps include timezone information (UTC, UTC+1, UTC+2). Each profile provides a scaling factor that should be applied to the mean hourly emission rate (total annual emissions / total hours of the year). This dataset complements the gridded annual anthropogenic emission inventory for the City of Munich: Kühbacher, D., Aigner, P., Chen, J., Hinderer, J., Super, I., Denier van der Gon, H., Dröge, R., Schoenmakers, E., Hohenberger, T., 2025. Gridded anthropogenic emissions of CO2, CH4 and co-emitted pollutants for the city of Munich for the period 2019-2024. https://doi.org/10.18160/2K5S-967C. Note: the datasets in this collection version were updated by fixing the issue of missing dates in the GNFR_F_csee.csv temporal profile, and replacing the corresponding PNG bitmap files. KW - CH4 KW - CO KW - CO2 KW - NOx KW - PM KW - air pollutants KW - emission inventory KW - human respiration KW - other stationary combustion KW - public power KW - road transport KW - temporal profiles KW - urban emissions PY - 2025 PB - ICOS ERIC - Carbon Portal ER -
PAUL, Pilot Applications in Urban Landscapes - Towards integrated city observatories for greenhouse gases (ICOS Cities), has received funding
from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 101037319.