Munich City Inventory

Emission inventory with high spatial resolution for the City of Munich. The inventory is a combined product of bottom-up estimates based on local data (currently for sectors A, C, F, Human Resp.) developed by TUM and a spatially downscaled regional inventory for the remaining sectors provided by TNO.

Documentation Methods
Documentation Outputs
Unit of the Emissions: kg/ cell
Coordinate Reference System: EPSG 25832

Folder Structure

• output contains the final emission products. Additional *.xlsx files provide tables of the annual totals of each sector.
  
• data contains the sectorial input data for the inventory. Subfolders contain emission calculatios for different sectors which are used in the final emission product. Many subfolders also contain the higher resolution (e.g.: building-, or street-level resolution) emission inventories and temporal profiles.
• code contains a notebooks that were used to combine inventories of different sectors and provide the final inventory product.
• img contains plots of the inventory.

Setup Instructions

1. Clone the project

git clone https://github.com/yourusername/tum-mci.git
cd tum-mci

2. Install uv (if not installed)

pip install uv 

3. Sync Environment

uv sync         # Install dependencies from pyproject.toml

Related Literature

Code Repositories

Public

• GNFR F

Internal Only

• GNFR A, GNFR C, GNFR C - Time Profiles, Human Respiration

Publications and Conference Presentations

• Kühbacher, D., Chen, J., Aigner, P., Ilic, M., Super, I., and Denier van der Gon, H.: DRIVE v1.0: A data-driven framework to estimate road transport emissions and temporal profiles, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-753, 2025.
• Aigner, P., Suhendra, M., Yirtar, B., Kühbacher, D., Super, I., Droste, A., Denier van der Gon, H., Brunner, D., Kohlmeier, H., Althammer, T., and Chen, J.: CO2 bottom-up emission inventory based on municipal power generation and heating data in Munich, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-13451, https://doi.org/10.5194/egusphere-egu23-13451, 2023.
• Kühbacher, D., Aigner, P., Super, I., Droste, A., Denier van der Gon, H., Ilic, M., and Chen, J.: Bottom-up estimation of traffic emissions in Munich based on macroscopic traffic simulation and counting data, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-12997, https://doi.org/10.5194/egusphere-egu23-12997, 2023.
• Patrick Aigner, Ingrid Super, Daniel Kühbacher, Arjan M. Droste, Hugo A. C. Denier van der Gon, Jia Chen: Comparison of a downscaled emission inventory from national-scale data and a newly developed city-scale bottom-up inventory for Munich towards a better understanding of local characteristics. ICOS Science Conference 2022, 2022

Related Project Reports

• WP1;T1.1: First version of high-resolution city emission inventory for GHGs and co-emitted species for 2019 or 2020
• WP1;T1.2: Final version of high-resolution city emission inventory for GHGs and co-emitted species for 2018, 2020 and 2022
• WP2;T2.1: Temporally varying city emission inventory for GHGs and co-emitted species

Selected Publications that utilize the inventory

• tbd

Contributors

TUM Authors	Contact
Daniel Kühbacher	daniel.kuehbacher@tum.de
Patrick Aigner	patrick.aigner@tum.de
Jia Chen	jia.chen@tum.de
Julian Hinderer	julian.hinderer@tum.de
Michael Suhendra	michael.suhendra@tum.de
Beyza Yirtar	beyza.yirtar@tum.de

TNO Authors	Contact
Ingrid Super	ingrid.super@tno.nl
Hugo Denier van der Gon	hugo.deniervandergon@tno.nl
Rianne Dröge	rianne.droge@tno.nl
Emma Schoenecker	emma.schoenmakers@tno.nl
Tilman Hohenberger	tilman.hohenberger@tno.nl