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Gridded anthropogenic emissions of CO2, CH4 and co-emitted pollutants for the city of Munich in 2022

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2022-01-01–2022-12-31

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Gridded annual anthropogenic emission of CO2(fossil,bio), CH4 and three air pollutants (NOx, CO, PM) for the City of Munich in 2022, as prepared and developed for the H2020 project ICOS Cities PAUL Pilot Applications in Urban Landscapes, and described in Deliverable 1.2 (https://fileshare.icos-cp.eu/s/3ksc9Jiscqw4nWo) and the related GitHub Repository https://github.com/tum-esm/tum-mci. The inventory is a combined product of bottom-up estimates based on local data (currently for GNFR sectors A-Power Plant, C-Stationary Combustion, F-Road Transport, Human Respiration) developed by the Technical University of Munich (TUM) and a spatially downscaled regional inventory (TNO-GHGco V4.1) for the remaining sectors provided by TNO. The unit is "kg yr-1 cell-1" across all files. The spatial resolution is 1/600° x 1/1200° (about 100m x 100m). Please note that no PM and CH4 emissions are included in sector GNFR A. This dataset is complemented by Aigner, P., Kühbacher, D., Chen, J., Althammer, T., Denier van der Gon, H., Hinderer, J., Suhendra, M., Super, I., Yirtar, B. (2025). Temporal Activity Profiles for the City of Munich (2022), 2022-01-01–2022-12-31, ICOS Cities, https://hdl.handle.net/11676/2SvAbGvqj_9F5MCa6us0sMzF.

2022-01-01 00:00:00
2022-12-31 23:59:59
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 in 2022, 2022-01-01–2022-12-31, ICOS Cities, https://hdl.handle.net/11676/mJ5hsku2Wc_47wWJhwgtdGxw
BibTex
@misc{https://hdl.handle.net/11676/mJ5hsku2Wc_47wWJhwgtdGxw,
  author={Kühbacher, Daniel and Aigner, Patrick and Chen, Jia and Hinderer, Julian and Super, Ingrid and Denier van der Gon, Hugo and Dröge, Rianne and Schoenmakers, Emma and Hohenberger, Tilman},
  title={Gridded anthropogenic emissions of CO2, CH4 and co-emitted pollutants for the city of Munich in 2022, 2022-01-01–2022-12-31},
  year={2025},
  note={Gridded annual anthropogenic emission of CO2(fossil,bio), CH4 and three air pollutants (NOx, CO, PM) for the City of Munich in 2022, as prepared and developed for the H2020 project ICOS Cities PAUL Pilot Applications in Urban Landscapes, and described in Deliverable 1.2 (https://fileshare.icos-cp.eu/s/3ksc9Jiscqw4nWo) and the related GitHub Repository https://github.com/tum-esm/tum-mci. The inventory is a combined product of bottom-up estimates based on local data (currently for GNFR sectors A-Power Plant, C-Stationary Combustion, F-Road Transport, Human Respiration) developed by the Technical University of Munich (TUM) and a spatially downscaled regional inventory (TNO-GHGco V4.1) for the remaining sectors provided by TNO. The unit is "kg yr-1 cell-1" across all files. The spatial resolution is 1/600° x 1/1200° (about 100m x 100m). Please note that no PM and CH4 emissions are included in sector GNFR A. This dataset is complemented by 
Aigner, P., Kühbacher, D., Chen, J., Althammer, T., Denier van der Gon, H., Hinderer, J., Suhendra, M., Super, I., Yirtar, B. (2025). Temporal Activity Profiles for the City of Munich (2022), 2022-01-01–2022-12-31, ICOS Cities, https://hdl.handle.net/11676/2SvAbGvqj_9F5MCa6us0sMzF.},
  keywords={anthropogenic emissions, air pollutants, CO2, CH4, NOx, CO, PM},
  url={https://hdl.handle.net/11676/mJ5hsku2Wc_47wWJhwgtdGxw},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/mJ5hsku2Wc_47wWJhwgtdGxw}
}
RIS
TY - DATA
T1 - Gridded anthropogenic emissions of CO2, CH4 and co-emitted pollutants for the city of Munich in 2022, 2022-01-01–2022-12-31
ID - 11676/mJ5hsku2Wc_47wWJhwgtdGxw
PY - 2025
AB - Gridded annual anthropogenic emission of CO2(fossil,bio), CH4 and three air pollutants (NOx, CO, PM) for the City of Munich in 2022, as prepared and developed for the H2020 project ICOS Cities PAUL Pilot Applications in Urban Landscapes, and described in Deliverable 1.2 (https://fileshare.icos-cp.eu/s/3ksc9Jiscqw4nWo) and the related GitHub Repository https://github.com/tum-esm/tum-mci. The inventory is a combined product of bottom-up estimates based on local data (currently for GNFR sectors A-Power Plant, C-Stationary Combustion, F-Road Transport, Human Respiration) developed by the Technical University of Munich (TUM) and a spatially downscaled regional inventory (TNO-GHGco V4.1) for the remaining sectors provided by TNO. The unit is "kg yr-1 cell-1" across all files. The spatial resolution is 1/600° x 1/1200° (about 100m x 100m). Please note that no PM and CH4 emissions are included in sector GNFR A. This dataset is complemented by 
Aigner, P., Kühbacher, D., Chen, J., Althammer, T., Denier van der Gon, H., Hinderer, J., Suhendra, M., Super, I., Yirtar, B. (2025). Temporal Activity Profiles for the City of Munich (2022), 2022-01-01–2022-12-31, ICOS Cities, https://hdl.handle.net/11676/2SvAbGvqj_9F5MCa6us0sMzF.
UR - https://hdl.handle.net/11676/mJ5hsku2Wc_47wWJhwgtdGxw
PB - Carbon Portal
AU - Kühbacher, Daniel
AU - Aigner, Patrick
AU - Chen, Jia
AU - Hinderer, Julian
AU - Super, Ingrid
AU - Denier van der Gon, Hugo
AU - Dröge, Rianne
AU - Schoenmakers, Emma
AU - Hohenberger, Tilman
KW - anthropogenic emissions
KW - air pollutants
KW - CO2
KW - CH4
KW - NOx
KW - CO
KW - PM
ER - 
Munich_Inventory_GHGco_v2_2_2022.zip
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2025-09-04 14:04:59

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Submission

2025-09-19 13:10:54
2025-09-19 13:10:51

Technical information

989e61b24bb659cff8ef058987082d746c7015c15c4dd111de57399e360e5bb8
mJ5hsku2Wc/47wWJhwgtdGxwFcFcTdER3lc5njYOW7g
S: 48.06083, W: 11.36, N: 48.24833, E: 11.72333
CH4 CO CO2 NOx PM air pollutants anthropogenic emissions
3 pilot cities
15 countries
15 cities
30 scientific partners
13M€ funding
2021-2025
EU flag 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.