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	The Model of Urban Network of Intersecting Canyons and Highways (MUNICH) MUNICH is used to simulate subgrid concentrations in the urban canopy represented by the street network.

Model description

MUNICH consists of two main components:

(1) the street-canyon component, which represents the atmospheric processes in the volume of the urban canopy, and
(2) the street-intersection component, which represents the processes in the volume of the intersection.

These components can be connected to regional models (Polair3D, Chimere, etc) at roof level and are also interconnected. A detailed description is found at Hands-on session for MUNICH

Simulated NOx concentrations using MUNICH (a) during nighttime at 1 AM (UTC) (b) in the morning rush-hour at 7 AM (UTC) on March 25, 2014.
Documents

MUNICH v2.0 User's Guide

MUNICH v1.0 User's Guide
Download

Zenodo

Git repository
If you clone git repository, please use the script munich-public-clone. If you download or clone from the repository, the files of the sub modules are not included.
Data and configuration files for MUNICH v2 test case

You can download at Zenodo
Hands-on session for MUNICH v1

Document

For the hands-on session, the input data can be downloaded at Data and configuration files or by contact with Youngseob Kim Send Mail

For any questions, you can contact Send Mail. If you want to receive news about MUNICH, you can subscribe to munich-user email list
News

MUNICH version 2.2 release (2024-01-08)

Model
- Added the CFL test.
- Improved the paramterization for the vertical exchange concerning LMO and PBL height.
Preprocessing
- Updated readers for Chimere and Polair3D output.
- Faster generation of the street network.
- Modified reader for WRF output. Before, only one-day files were accepted.
- Added PM speciation.
- Functions moved into new python scripts depending on their types: meteo, emission, background, street_network, misc.
Environment
- Using MPI C binding.
- A specific street is backtraced in the debug mode.
MUNICH version 2.1 release (2022-09-29)

Model
- Added the dry deposition on tree leaves.
- Added the aerodynamic effect of trees in the street.
- Added the possibility to compute particulate concentration with Melchior2.
Preprocessing
- Added a reader to use Polair3D output as the background concentrations.
Environment
- Improved the compatibility with Intel compiler.
MUNICH version 2.0 release (2021-09-01)

Model
- Added a new parametrization for the aerosol resuspension.
- Implemented SSH-Aerosol as a sub module for the modeling of secondary aerosols using API of SSH-Aerosol.
- Added a new option for SVOC deposition
- Added a new option for the computation of friction velocity and wind speed.
- Added a new gas-phase kinetic mechanism CHIMERE/MELCHIOR2.
Preprocessing
- Added option for the speciation of particle and ISVOC emissions.
- Improved in CPU time by rewriting the function arc_streets_same.
- Map projection type can be selected.
Environment
- Talos/AtmoData/SeldonData changed as a sub module.
- atmopy added as a sub module.
- Conversion to Python3 format.
Version 1.1.beta is implemented on AmpliSIM platform (2021-05-15).

AmpliSIM platform provides users a GUI environment to run MUNICH simulations. www.amplisim.com
Reference

Alice Maison, Lya Lugon, Soo-Jin Park, Christophe Boissard, Aurélien Faucheux, Valérie Gros, Carmen Kalalian, Youngseob Kim, Juliette Leymarie, Jean-Eudes Petit, Yelva Roustan, Olivier Sanchez, Alexis Squarcioni, Myrto Valari, Camille Viatte, Jérémy Vigneron, Andrée Tuzet, Karine Sartelet, Contrasting effects of urban trees on air quality: From the aerodynamic effects in streets to impacts of biogenic emissions in cities, Science of The Total Environment, 2024, 174116, https://doi.org/10.1016/j.scitotenv.2024.174116.

Sarica, T., Chaillou, C., Roustan, Y., Larrieu, C., Wali, S.-E., Sartelet, K., Differentiated impact of low-exhaust-emission vehicles on NO2 and particle concentrations in the Paris region. Eur. Transp. Res. Rev. 16, 34 (2024). https://doi.org/10.1186/s12544-024-00660-2

Wang, T., Liu, H., Li, J., Wang, S., Kim, Y., Sun, Y., Yang, W., Du, H., Wang, Z., and Wang, Z.: A two-way coupled regional urban-street network air quality model system for Beijing, China, Geosci. Model Dev., 16, 5585-5599, https://doi.org/10.5194/gmd-16-5585-2023, 2023.

Sarica, T., Maison, A., Roustan, Y., Ketzel, M., Jensen, S. S., Kim, Y., Chaillou, C., and Sartelet, K.: Modelling concentration heterogeneities in streets using the street-network model MUNICH, Geosci. Model Dev., 16, 5281-5303, https://doi.org/10.5194/gmd-16-5281-2023, 2023.

Thibaud Sarica, Karine Sartelet, Yelva Roustan, Youngseob Kim, Lya Lugon, Baptiste Marques, Barbara D'Anna, Christophe Chaillou, Clément Larrieu, Sensitivity of pollutant concentrations in urban streets to asphalt and traffic-related emissions, Environmental Pollution, 332, 121955, https://doi.org/10.1016/j.envpol.2023.121955, 2023

Liang J, Zeng L, Zhou S, Wang X, Hua J, Zhang X, Gu Z, He L. Combined Effects of Photochemical Processes, Pollutant Sources and Urban Configuration on Photochemical Pollutant Concentrations. Sustainability. 2023; 15(4):3281. https://doi.org/10.3390/su15043281

Sarica, T., K. Sartelet, Y. Roustan, Y. Kim, L. Lugon, M. André, B. Marques, B. D'Anna, C. Chaillou, C. Larrieu (2022). Modelling Pollutant Concentrations in Streets: A Sensitivity Analysis to Asphalt and Traffic Related Emissions. In: Mensink, C., Jorba, O. (eds) Air Pollution Modeling and its Application XXVIII. ITM 2021. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-12786-1_39

Tao Wang, Jie Li, Jinxiu Pan, Dongsheng Ji, Youngseob Kim, Luolin Wu, Xuemei Wang, Xiaole Pan, Yele Sun, Zifa Wang, Wenyi Yang, Huiyun Du (2022) An integrated air quality modeling system coupling regional-urban and street models in Beijing. Urban Climate, 43, 101143, https://doi.org/10.1016/j.uclim.2022.101143.

Maison A, Flageul C, Carissimo B, Tuzet A, Sartelet K. Parametrization of Horizontal and Vertical Transfers for the Street-Network Model MUNICH Using the CFD Model Code_Saturne. Atmosphere. 2022; 13(4):527. https://doi.org/10.3390/atmos13040527

Lugon L., Kim Y., Vigneron J., Chrétien O., André M., André J.-M., Moukhtar S., Redaelli M., Sartelet K. (2022), Effect of vehicle fleet composition and mobility on outdoor population exposure: A street resolution analysis in Paris. Atmospheric Pollution Research, 13, 5, 101365, doi: 10.1016/j.apr.2022.101365

Maison, A., Flageul, C., Carissimo, B., Wang, Y., Tuzet, A., and Sartelet, K.: Parameterizing the aerodynamic effect of trees in street canyons for the street network model MUNICH using the CFD model Code_Saturne, Atmos. Chem. Phys., 22, 9369-9388, https://doi.org/10.5194/acp-22-9369-2022, 2022.

Kim, Y., Lugon, L., Maison, A., Sarica, T., Roustan, Y., Valari, M., Zhang, Y., André, M., and Sartelet, K.: MUNICH v2.0: a street-network model coupled with SSH-aerosol (v1.2) for multi-pollutant modelling, Geosci. Model Dev., 15, 7371-7396, https://doi.org/10.5194/gmd-15-7371-2022, 2022.

Lugon, L., Vigneron, J., Debert, C., Chrétien, O., and Sartelet, K.: Black carbon modeling in urban areas: investigating the influence of resuspension and non-exhaust emissions in streets using the Street-in-Grid model for inert particles (SinG-inert), Geosci. Model Dev., 14, 7001-7019, https://doi.org/10.5194/gmd-14-7001-2021, 2021.

Gavidia-Calderón, M. E., Ibarra-Espinosa, S., Kim, Y., Zhang, Y., and Andrade, M. D. F.: Simulation of O3 and NOx in São Paulo street urban canyons with VEIN (v0.2.2) and MUNICH (v1.0), Geosci. Model Dev., 14, 3251-3268, https://doi.org/10.5194/gmd-14-3251-2021, 2021.

Lugon L., K. Sartelet, Y. Kim, J. Vigneron, O. Chrétien (2021) Simulation of primary and secondary particles in the streets of Paris using MUNICH. Faraday Discuss., 226, 432-456, doi: 10.1039/D0FD00092B.

Wu, L., Chang, M., Wang, X., Hang, J., Zhang, J., Wu, L., and Shao, M.: Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data, Geosci. Model Dev., 13, 23-40, https://doi.org/10.5194/gmd-13-23-2020, 2020.

Lugon, L., Sartelet, K., Kim, Y., Vigneron, J., and Chrétien, O.: Nonstationary modeling of NO2, NO and NOx in Paris using the Street-in-Grid model: coupling local and regional scales with a two-way dynamic approach, Atmos. Chem. Phys., 20, 7717-7740, https://doi.org/10.5194/acp-20-7717-2020, 2020.

Thouron, L., Y. Kim, B. Carissimo, C. Seigneur, B Bruge, Intercomparison of two modeling approaches for traffic air pollution in street canyons, Urban Climate, 27, 163-178 (2019)

Thouron, L., C. Seigneur, Y. Kim, F. Mahé, M. André, B. Bruge, H. Chanut, Y. Pellan Intercomparison of three modeling approaches for traffic-related road dust resuspension using two experimental data, Transportation Res. Part D. Transport and Environment 58, 108-121 (2018) [ doi:10.1016/j.trd.2017.11.003]

Kim, Y., Wu, Y., Seigneur, C., and Roustan, Y.: Multi-scale modeling of urban air pollution: development and application of a Street-in-Grid model (v1.0) by coupling MUNICH (v1.0) and Polair3D (v1.8.1), Geosci. Model Dev., 11, 611-629, https://doi.org/10.5194/gmd-11-611-2018, 2018.

MUNICH version 2.2 release (2024-01-08)

Model

Preprocessing

Environment

MUNICH version 2.1 release (2022-09-29)

Model

Preprocessing

Environment

MUNICH version 2.0 release (2021-09-01)

Model

Preprocessing

Environment

Version 1.1.beta is implemented on AmpliSIM platform (2021-05-15).