Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1335–1372 |
| Seitenumfang | 38 |
| Fachzeitschrift | Geoscientific Model Development |
| Jahrgang | 13 |
| Ausgabenummer | 3 |
| Publikationsstatus | Veröffentlicht - 20 März 2020 |
Abstract
In this paper, we describe the PALM model system 6.0. PALM (formerly an abbreviation for Parallelized Largeeddy Simulation Model and now an independent name) is a Fortran-based code and has been applied for studying a variety of atmospheric and oceanic boundary layers for about 20 years. The model is optimized for use on massively parallel computer architectures. This is a follow-up paper to the PALM 4.0 model description in Maronga et al. (2015). During the last years, PALM has been significantly improved and now offers a variety of new components. In particular, much effort was made to enhance the model with components needed for applications in urban environments, like fully interactive land surface and radiation schemes, chemistry, and an indoor model. This paper serves as an overview paper of the PALM 6.0 model system and we describe its current model core. The individual components for urban applications, case studies, validation runs, and issues with suitable input data are presented and discussed in a series of companion papers in this special issue.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Allgemeine Erdkunde und Planetologie
- Mathematik (insg.)
- Modellierung und Simulation
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in: Geoscientific Model Development, Jahrgang 13, Nr. 3, 20.03.2020, S. 1335–1372.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Overview of the PALM model system 6.0
AU - Maronga, Björn
AU - Banzhaf , Sabine
AU - Burmeister, Cornelia
AU - Esch, Thomas
AU - Forkel, Renate
AU - Fröhlich, Dominik
AU - Fuka, Vladimir
AU - Gehrke, Katrin Frieda
AU - Geletič, Jan
AU - Giersch, Sebastian
AU - Gronemeier, Tobias
AU - Groß, Günter
AU - Heldens, Wieke
AU - Hellsten, Antti
AU - Hoffmann, Fabian
AU - Inagaki, Atsushi
AU - Kadasch, Eckhard
AU - Kanani-Sühring, Farah
AU - Ketelsen, Klaus
AU - Ali Khan, Basit
AU - Knigge, Christoph
AU - Knoop, Helge Ulrich Michael
AU - Krč, Pavel
AU - Kurppa, Mona
AU - Maamari, Halim
AU - Matzarakis, Andreas
AU - Mauder, Matthias
AU - Pallasch, Matthias
AU - Pavlik, Dirk
AU - Pfafferott, Jens
AU - Resler, Jaroslav
AU - Rissmann, Sascha
AU - Russo, Emmanuele
AU - Salim, Mohamed
AU - Schrempf, Michael
AU - Schwenkel, Johannes
AU - Seckmeyer, Gunther
AU - Schubert, Sebastian
AU - Sühring, Matthias
AU - von Tils, Robert
AU - Vollmer, Lukas
AU - Ward, Simon Lucas
AU - Witha, Björn
AU - Wurps, Hauke
AU - Zeidler, Julian
AU - Raasch, Siegfried
N1 - Funding information: Financial support. This research has been supported by the Federal Ministry of Education and Research (Germany) (grant no. 01LP1601A). [UC]2 is funded by the German Federal Ministry of Education and Research (BMBF) under grant 01LP1601 within the framework of Research for Sustainable Development (FONA; https://www.fona.de/de/, last access: 18 February 2020), which is greatly acknowledged. Acknowledgements. We would like to thank the two anonymous reviewers for their helpful comments on the manuscript. The German Aerospace Center (DLR) Project Management supports the consortium. Benchmark and test runs with PALM have been performed at the supercomputers of the North-German Supercomputing Alliance (HLRN), which is gratefully acknowledged. The co-authors Jaroslav Resler, Pavel Krc?, Jan Geletic?, and Vladimir Fuka were supported by the project URBI PRAGENSI CZ.07.1.02/0.0/0.0/16_040/0000383 under the program OP PPR “Prague – Growth Pole of the Czech Republic” which is co-financed by EU. Some of the simulations were done on the supercomputer Salomon, which was supported by the Ministry of Education, Youth and Sports of the Czech Republic from the Large Infrastructures for Research, Experimental Development and Innovations project “IT4Innovations National Supercomputing Center – LM2015070”. The co-author Antti Hellsten was supported by Academy of Finland (grant agreement 277664) and the co-author Mona Kurppa by the doctoral program in Atmospheric Sciences (ATM-DP, University of Helsinki) and the Helsinki Metropolitan Region Urban Research Program.
PY - 2020/3/20
Y1 - 2020/3/20
N2 - In this paper, we describe the PALM model system 6.0. PALM (formerly an abbreviation for Parallelized Largeeddy Simulation Model and now an independent name) is a Fortran-based code and has been applied for studying a variety of atmospheric and oceanic boundary layers for about 20 years. The model is optimized for use on massively parallel computer architectures. This is a follow-up paper to the PALM 4.0 model description in Maronga et al. (2015). During the last years, PALM has been significantly improved and now offers a variety of new components. In particular, much effort was made to enhance the model with components needed for applications in urban environments, like fully interactive land surface and radiation schemes, chemistry, and an indoor model. This paper serves as an overview paper of the PALM 6.0 model system and we describe its current model core. The individual components for urban applications, case studies, validation runs, and issues with suitable input data are presented and discussed in a series of companion papers in this special issue.
AB - In this paper, we describe the PALM model system 6.0. PALM (formerly an abbreviation for Parallelized Largeeddy Simulation Model and now an independent name) is a Fortran-based code and has been applied for studying a variety of atmospheric and oceanic boundary layers for about 20 years. The model is optimized for use on massively parallel computer architectures. This is a follow-up paper to the PALM 4.0 model description in Maronga et al. (2015). During the last years, PALM has been significantly improved and now offers a variety of new components. In particular, much effort was made to enhance the model with components needed for applications in urban environments, like fully interactive land surface and radiation schemes, chemistry, and an indoor model. This paper serves as an overview paper of the PALM 6.0 model system and we describe its current model core. The individual components for urban applications, case studies, validation runs, and issues with suitable input data are presented and discussed in a series of companion papers in this special issue.
UR - http://www.scopus.com/inward/record.url?scp=85082528543&partnerID=8YFLogxK
U2 - 10.5194/gmd-13-1335-2020
DO - 10.5194/gmd-13-1335-2020
M3 - Article
VL - 13
SP - 1335
EP - 1372
JO - Geoscientific Model Development
JF - Geoscientific Model Development
SN - 1991-959X
IS - 3
ER -