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Radiative Transfer Model 3.0 integrated into the PALM model system 6.0
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SYSNO ASEP 0549609 Document Type V - Research Report R&D Document Type The record was not marked in the RIV Title Radiative Transfer Model 3.0 integrated into the PALM model system 6.0 Author(s) Krč, Pavel (UIVT-O) SAI, RID, ORCID
Resler, Jaroslav (UIVT-O) SAI, RID, ORCID
Sühring, M. (DE)
Schubert, S. (DE)
Salim, M. (DE)
Fuka, V. (CZ)Issue data Mnichov: European Geosciences Union, 2021 Source Title Geoscientific Model Development. - : Copernicus GmbH - ISSN 1991-959X
-, Accepted for review Aug 2020 (2021)Series Geoscientific Model Development Discussions Series number gmd-2020-168 Number of pages 57 s. Publication form Online - E Language eng - English Country DE - Germany Subject RIV DG - Athmosphere Sciences, Meteorology OECD category Meteorology and atmospheric sciences R&D Projects UH0383 GA KHP - The Capital City of Prague (KHP) Institutional support UIVT-O - RVO:67985807 DOI 10.5194/gmd-2020-168 Annotation The Radiative Transfer Model (RTM) is an explicitly resolved three-dimensional multi-reflection radiation model integrated into the PALM modelling system. It is responsible for modelling complex radiative interactions within the urban canopy. It represents a key component in modelling energy transfer inside the urban layer and consequently PALM's ability to provide explicit simulations of the urban canopy at metre-scale resolution. This paper presents RTM version 3.0, which is integrated into the PALM modelling system version 6.0. This version of RTM has been substantially improved over previous versions. A more realistic representation is enabled by the newly simulated processes, e.g. the interaction of longwave radiation with the plant canopy, evapotranspiration and latent heat flux, calculation of mean radiant temperature, and bidirectional interaction with the radiation forcing model. The new version also features novel discretization schemes and algorithms, namely the angular discretization and the azimuthal ray tracing, which offer significantly improved scalability and computational efficiency, enabling larger parallel simulations. It has been successfully tested on a realistic urban scenario with a horizontal size of over 6 million grid points using 8192 parallel processes. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2022 Electronic address http://dx.doi.org/10.5194/gmd-2020-168
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