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Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM
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SYSNO ASEP 0585439 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM Author(s) Radović, J. (CZ)
Belda, M. (CZ)
Resler, Jaroslav (UIVT-O) SAI, RID, ORCID
Eben, Kryštof (UIVT-O) SAI, RID, ORCID
Bureš, Martin (UIVT-O) SAI, ORCID
Geletič, Jan (UIVT-O) RID, ORCID, SAI
Krč, Pavel (UIVT-O) SAI, RID, ORCID
Řezníček, Hynek (UIVT-O) ORCID, SAI
Fuka, V. (CZ)Source Title Geoscientific Model Development. - : Copernicus GmbH - ISSN 1991-959X
Roč. 17, č. 7 (2024), s. 2901-2927Number of pages 27 s. Publication form Online - E Language eng - English Country DE - Germany Keywords large-eddy simulation ; urban climate ; boundary conditions ; sensitivity ; coupling OECD category Meteorology and atmospheric sciences R&D Projects TO01000219 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) Research Infrastructure e-INFRA CZ II - 90254 - CESNET, zájmové sdružení právnických osob Method of publishing Open access Institutional support UIVT-O - RVO:67985807 UT WOS 001202919400001 EID SCOPUS 85190765550 DOI https://doi.org/10.5194/gmd-17-2901-2024 Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2025 Electronic address https://doi.org/10.5194/gmd-17-2901-2024
Number of the records: 1