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Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00585439" target="_blank" >RIV/67985807:_____/24:00585439 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/24:10490526

  • Result on the web

    <a href="https://doi.org/10.5194/gmd-17-2901-2024" target="_blank" >https://doi.org/10.5194/gmd-17-2901-2024</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/gmd-17-2901-2024" target="_blank" >10.5194/gmd-17-2901-2024</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM

  • Original language description

    We present the process of and difficulties in acquiring the proper boundary conditions (BCs) for the state-of-the-art large-eddy simulation (LES)-based PALM model system. We use the mesoscale Weather Research and Forecasting (WRF) model as a source of inputs for the PALM preprocessor and investigate the influence of the mesoscale model on the performance of the PALM model. A total of 16 different WRF configurations were used as a proxy for a multi-model ensemble. We developed a technique for selecting suitable sets of BCs, performed PALM model simulations driven by these BCs, and investigated the consequences of selecting a sub-optimal WRF configuration. The procedure was tested for four episodes in different seasons of the year 2019, during which WRF and PALM outputs were evaluated against the atmospheric radiosounding observations. We show that the PALM model outputs are heavily dependent on the imposed BCs and have different responses at different times of the day and in different seasons. We demonstrate that the main driver of errors is the mesoscale model and that the PALM model is capable of attenuating but not fully correcting them. The PALM model attenuates the impact of errors in BCs in wind speed, while for the air temperature, PALM shows variable behavior with respect to driving conditions. This study stresses the importance of high-quality driving BCs and the complexity of the process of their construction and selection.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

    <a href="/en/project/TO01000219" target="_blank" >TO01000219: Turbulent-resolving urban modeling of air quality and thermal comfort</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Geoscientific Model Development

  • ISSN

    1991-959X

  • e-ISSN

    1991-9603

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    27

  • Pages from-to

    2901-2927

  • UT code for WoS article

    001202919400001

  • EID of the result in the Scopus database

    2-s2.0-85190765550