Radiative Transfer Model 3.0 integrated into the PALM model system 6.0

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Pavel Krč
  • Jaroslav Resler
  • Matthias Sühring
  • Sebastian Schubert
  • Mohamed H. Salim
  • Vladimír Fuka

Externe Organisationen

  • Akademie Věd České Republiky (AV ČR)
  • Humboldt-Universität zu Berlin (HU Berlin)
  • Charles University
  • Aswan University
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)3095-3120
Seitenumfang26
FachzeitschriftGeoscientific model development
Jahrgang14
Ausgabenummer5
PublikationsstatusVeröffentlicht - 31 Mai 2021

Abstract

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.

ASJC Scopus Sachgebiete

Zitieren

Radiative Transfer Model 3.0 integrated into the PALM model system 6.0. / Krč, Pavel; Resler, Jaroslav; Sühring, Matthias et al.
in: Geoscientific model development, Jahrgang 14, Nr. 5, 31.05.2021, S. 3095-3120.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Krč P, Resler J, Sühring M, Schubert S, Salim MH, Fuka V. Radiative Transfer Model 3.0 integrated into the PALM model system 6.0. Geoscientific model development. 2021 Mai 31;14(5):3095-3120. doi: 10.5194/gmd-14-3095-2021, 10.15488/12415
Krč, Pavel ; Resler, Jaroslav ; Sühring, Matthias et al. / Radiative Transfer Model 3.0 integrated into the PALM model system 6.0. in: Geoscientific model development. 2021 ; Jahrgang 14, Nr. 5. S. 3095-3120.
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abstract = "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.",
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note = "Acknowledgements: The simulations were performed on the HPC infrastructure of the Institute of Computer Science of the Czech Academy of Sciences (ICS) supported by the long-term strate- gic development financing of the ICS (RVO:67985807) and partly in the IT4I supercomputing centre, which was supported by the Ministry of Education, Youth and Sports from the Large Infras- tructures for Research, Experimental Development and Innovations under project “IT4Innovations National Supercomputing Center – LM2015070”. Financial support: Financial support was provided by the Operational Program Prague – Growth Pole of the Czech Republic under the project “Urbanization of weather fore- cast, air-quality prediction and climate scenarios for Prague” (CZ.07.1.02/0.0/0.0/16_040/0000383), which is co-financed by the EU. The co-authors Matthias S{\"u}hring, Sebastian Schubert and Mohamed H. Salim were supported by the Federal German Min- istry of Education and Research (BMBF) under grant 01LP1601 within the framework of Research for Sustainable Development (FONA; https://www.fona.de/de/, last access: 27 May 2021). Financial support was also provided by the Norway Grants and Technology Agency of the Czech Republic project TO01000219: “Turbulent-resolving urban modeling of air quality and thermal comfort” ",
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N1 - Acknowledgements: The simulations were performed on the HPC infrastructure of the Institute of Computer Science of the Czech Academy of Sciences (ICS) supported by the long-term strate- gic development financing of the ICS (RVO:67985807) and partly in the IT4I supercomputing centre, which was supported by the Ministry of Education, Youth and Sports from the Large Infras- tructures for Research, Experimental Development and Innovations under project “IT4Innovations National Supercomputing Center – LM2015070”. Financial support: Financial support was provided by the Operational Program Prague – Growth Pole of the Czech Republic under the project “Urbanization of weather fore- cast, air-quality prediction and climate scenarios for Prague” (CZ.07.1.02/0.0/0.0/16_040/0000383), which is co-financed by the EU. The co-authors Matthias Sühring, Sebastian Schubert and Mohamed H. Salim were supported by the Federal German Min- istry of Education and Research (BMBF) under grant 01LP1601 within the framework of Research for Sustainable Development (FONA; https://www.fona.de/de/, last access: 27 May 2021). Financial support was also provided by the Norway Grants and Technology Agency of the Czech Republic project TO01000219: “Turbulent-resolving urban modeling of air quality and thermal comfort”

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