Preprints
https://doi.org/10.5194/egusphere-2026-5699
https://doi.org/10.5194/egusphere-2026-5699
08 Oct 2026
 | 08 Oct 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

PALM-Traffic 2.0: Implementation of the traffic-induced heat and velocity in the PALM model system

Jaroslav Resler, Michal Belda, Martin Bureš, Kryštof Eben, Vladimír Fuka, Jan Geletič, Josef Keder, Pavel Krč, Veronika Květoňová, Tereza Pikousová, Jelena Radović, Hynek Řezníček, Petra Tesařová, and Ondřej Vlček

Abstract. The new Traffic model has been developed and integrated into the PALM model system 26.10. Using data typically available for traffic emission modelling, it adds the parameterised impacts of car-induced heat and air flow on modelled tendencies of potential temperature and advection. Model evaluation in a realistic urban environment showed a significant impact of the traffic model at 1 m resolution on street canyon turbulent flow: it changes the wind component aligned with the street canyon by about 2.0 m s−1 and turbulent kinetic energy by about 0.6 m2 s−2. The increase of potential temperature was the strongest during stable stratification at night and early morning by up to 1.5 K; after the start of convection there was a modest increase of ≈ 0.5 K. The 4 m resolution domain showed a lower impact. Comparison with measurements obtained in a dedicated observation campaign in two parallel streets with heavy traffic showed that applying the model typically brings simulated results closer to observations, with good agreement between modelled and observed values. Comparison of the horizontal turbulent spectra showed that applying the Traffic model brings modelled spectra very close to those calculated from observations, with the impact at all frequencies including high frequencies close to the observation and model time resolution 1 Hz. The impact on air quality was tested in a simulation replicating a previously published study of a stable, low-wind winter situation. The results showed that the Traffic model significantly affected PM10 concentrations, changing both their magnitude and spatial distribution and substantially reducing the instabilities found in simulations without traffic effects. It demonstrated that inclusion of the transportation-produced momentum and heat forcing in the model is necessary for reliable realistic simulations of the stable low wind meteorological conditions.

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Jaroslav Resler, Michal Belda, Martin Bureš, Kryštof Eben, Vladimír Fuka, Jan Geletič, Josef Keder, Pavel Krč, Veronika Květoňová, Tereza Pikousová, Jelena Radović, Hynek Řezníček, Petra Tesařová, and Ondřej Vlček

Status: open (until 03 Dec 2026)

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Jaroslav Resler, Michal Belda, Martin Bureš, Kryštof Eben, Vladimír Fuka, Jan Geletič, Josef Keder, Pavel Krč, Veronika Květoňová, Tereza Pikousová, Jelena Radović, Hynek Řezníček, Petra Tesařová, and Ondřej Vlček

Data sets

Dataset Open PALM-Traffic 2.0: Implementation of the traffic-induced heat and velocity in the PALM model system [dataset] Jaroslav Resler, Michal Belda, Martin Bureš, Kryštof Eben, Vladimír Fuka, Jan Geletič, Josef Keder, Pavel Krč, Veronika Květoňová, Tereza Pikousová, Jelena Radovic, Hynek Řezníček, Petra Tesařová, and Ondřej Vlček https://doi.org/10.5281/zenodo.22831866

Jaroslav Resler, Michal Belda, Martin Bureš, Kryštof Eben, Vladimír Fuka, Jan Geletič, Josef Keder, Pavel Krč, Veronika Květoňová, Tereza Pikousová, Jelena Radović, Hynek Řezníček, Petra Tesařová, and Ondřej Vlček
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Latest update: 08 Oct 2026
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Short summary
Road traffic is a major source of air pollution in the cities but moving vehicles also strongly influence the air flow and temperature. The PALM model system enables detailed simulations of thermal comfort and air quality in urban environments. The new integrated PALM-Traffic model extends this with the impact of moving cars. By evaluating against observations we show that adding these processes significantly improves modelled wind flow and it also influences modelled air quality.
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