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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Nalezeny alternativní kódy

    RIV/00216208:11320/24:10490526

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10509 - Meteorology and atmospheric sciences

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/TO01000219" target="_blank" >TO01000219: Modelování kvality ovzduší a tepelného komfortu s rozlišenou turbulencí v městském prostředí</a><br>

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Geoscientific Model Development

  • ISSN

    1991-959X

  • e-ISSN

    1991-9603

  • Svazek periodika

    17

  • Číslo periodika v rámci svazku

    7

  • Stát vydavatele periodika

    DE - Spolková republika Německo

  • Počet stran výsledku

    27

  • Strana od-do

    2901-2927

  • Kód UT WoS článku

    001202919400001

  • EID výsledku v databázi Scopus

    2-s2.0-85190765550