The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives

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Maronga, B.; Gryschka, M.; Heinze, R.; Hoffmann, F.; Kanani-Sühring, F.; Keck, M.; Ketelsen, K.; Letzel, M. O.; Sühring, M.; Raasch, S.: The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives. In: Geoscientific Model Development Discussions 8 (2015), Nr. 2, S. 1539-1637. DOI: http://dx.doi.org/10.5194/gmdd-8-1539-2015

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/27

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Sum total of downloads: 1,305




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In this paper we present the current version of the Parallelized Large-Eddy Simulation Model (PALM) whose core has been developed at the Institute of Meteorology and Climatology at Leibniz Universität Hannover (Germany). PALM is a Fortran 95-based 5 code with some Fortran 2003 extensions and has been applied for the simulation of a variety of atmospheric and oceanic boundary layers for more than 15 years. PALM is optimized for use on massively parallel computer architectures and was recently ported to general-purpose graphics processing units. In the present paper we give a detailed description of the current version of the model and its features, such as an embedded 10 Lagrangian cloud model and the possibility to use Cartesian topography. Moreover, we discuss recent model developments and future perspectives for LES applications.
License of this version: CC BY 3.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2015-02-19
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 557 42.68%
2 image of flag of United States United States 178 13.64%
3 image of flag of China China 78 5.98%
4 image of flag of Korea, Republic of Korea, Republic of 46 3.52%
5 image of flag of Brazil Brazil 39 2.99%
6 image of flag of Netherlands Netherlands 38 2.91%
7 image of flag of Japan Japan 38 2.91%
8 image of flag of United Kingdom United Kingdom 30 2.30%
9 image of flag of France France 27 2.07%
10 image of flag of Finland Finland 25 1.92%
    other countries 249 19.08%

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