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

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    SYSNO ASEP0585707
    Document TypeV - Research Report
    R&D Document TypeV - Research Report
    TitleChallenges of high-fidelity air quality modeling in urban environments – PALM sensitivity study during stable conditions
    Author(s) Resler, Jaroslav (UIVT-O) SAI, RID, ORCID
    Bauerová, P. (CZ)
    Belda, M. (CZ)
    Bureš, Martin (UIVT-O) SAI, ORCID
    Eben, Kryštof (UIVT-O) SAI, RID, ORCID
    Fuka, V. (CZ)
    Geletič, Jan (UIVT-O) RID, ORCID, SAI
    Jareš, R. (CZ)
    Karel, J. (CZ)
    Keder, J. (CZ)
    Krč, Pavel (UIVT-O) SAI, RID, ORCID
    Patiño, W. (CZ)
    Radović, J. (CZ)
    Řezníček, Hynek (UIVT-O) ORCID, SAI, RID
    Sühring, M. (DE)
    Šindelářová, A. (CZ)
    Vlček, O. (CZ)
    Issue dataMünchen: Europen Geosciences Union, 2024
    SeriesEGUsphere Preprints
    Series number2024-1231
    Number of pages35 s.
    Publication formOnline - E
    Languageeng - English
    CountryDE - Germany
    Keywordslarge-eddy simulation ; PALM ; urban climate ; air quality ; ventilation ; sensitivity
    OECD categoryMeteorology and atmospheric sciences
    R&D ProjectsTO01000219 GA TA ČR - Technology Agency of the Czech Republic (TA ČR)
    Research Infrastructuree-INFRA CZ II - 90254 - CESNET, zájmové sdružení právnických osob
    Institutional supportUIVT-O - RVO:67985807
    AnnotationThe urban air quality is an important part of human well-being and its detailed and precise modeling is important for efficient urban planning. In this study the potential sources of errors in LES runs of the PALM model in stable conditions for a high-traffic residential area in Prague, Czech Republic with focus to street canyon ventilation are investigated. The evaluation of the PALM model simulations against observations obtained during a dedicated campaign revealed unrealistically high concentrations of modeled air pollutants for a short period during a winter inversion episode. To identify potential reasons, the sensitivities of the model to changes of meteorological boundary conditions and adjustments of model parameters were tested. The model adaptations included adding the anthropogenic heat from cars, setting a bottom limit of the subgrid-scale TKE, adjusting the profiles of parameters of the Synthetic Turbulence Generator in PALM and limiting the model time step. The study confirmed the crucial role of the correct meteorological boundary conditions for realistic air quality modeling during stable conditions. Besides this, the studied adjustments of the model parameters proved to have a significant impact in these stable conditions, resulting in a decrease of concentration overestimation in range 30–66 % while exhibiting negligible influence on model results during the rest of the episode. This suggested that the inclusion or improvement of these processes in PALM is desirable despite their negligible impact in most other conditions. Moreover, the time step limitation test revealed numerical inaccuracies caused by discretization errors which occurred during such extremely stable conditions.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2025
    Electronic addresshttps://doi.org/10.5194/egusphere-2024-1231
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