Challenges of high-fidelity air quality modeling in urban environments – PALM sensitivity study during stable conditions

Resler, Jaroslav; Bauerová, Petra; Belda, Michal; Bureš, Martin; Eben, Kryštof; Fuka, Vladimír; Geletič, Jan; Jareš, Radek; Karel, Jan; Keder, Josef; Krč, Pavel; Patiño, William; Radović, Jelena; Řezníček, Hynek; Sühring, Matthias; Šindelářová, Adriana; Vlček, Ondřej

doi:https://doi.org/10.5194/gmd-17-7513-2024

Articles | Volume 17, issue 20

https://doi.org/10.5194/gmd-17-7513-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-7513-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 20

Development and technical paper

|

29 Oct 2024

Development and technical paper |

| 29 Oct 2024

Challenges of high-fidelity air quality modeling in urban environments – PALM sensitivity study during stable conditions

Jaroslav Resler, Petra Bauerová, Michal Belda, Martin Bureš, Kryštof Eben, Vladimír Fuka, Jan Geletič, Radek Jareš, Jan Karel, Josef Keder, Pavel Krč, William Patiño, Jelena Radović, Hynek Řezníček, Matthias Sühring, Adriana Šindelářová, and Ondřej Vlček

Supplement

https://doi.org/10.5194/gmd-17-7513-2024-supplement

Data sets

TURDATA: a database of low-cost air quality and remote sensing measurements for the validation of micro-scale models in the real Prague urban environments P. Bauerová et al. https://doi.org/10.5281/zenodo.10655033

Challenges of high-fidelity air quality modeling in urban environments - PALM sensitivity study during stable conditions (TURBAN) J. Geletič et al. https://doi.org/10.5281/zenodo.10998235

Model code and software

PALM-METEO: Advanced modular tool for preparing meteorological inputs to the PALM model P. Krč et al. https://doi.org/10.5281/zenodo.11061001

FUME-dev/fume: Official 2.0 release M. Belda et al. https://doi.org/10.5281/zenodo.10142912

Short summary

Detailed modeling of urban air quality in stable conditions is a challenge. We show the unprecedented sensitivity of a large eddy simulation (LES) model to meteorological boundary conditions and model parameters in an urban environment under stable conditions. We demonstrate the crucial role of boundary conditions for the comparability of results with observations. The study reveals a strong sensitivity of the results to model parameters and model numerical instabilities during such conditions.