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Cited by 300

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications

Open access
Heus, T., van Heerwaarden, C. C., Jonker, H. J. J., Pier Siebesma, A., Axelsen, S., van den Dries, K., Geoffroy, O., Moene, A. F., Pino, D., de Roode, S. R., Vilà-Guerau de Arellano, J.·2010·Geoscientific Model Development

Abstract

Abstract. The current version of the Dutch Atmospheric Large-Eddy Simulation (DALES) is presented. DALES is a large-eddy simulation code designed for studies of the physics of the atmospheric boundary layer, including convective and stable boundary layers as well as cloudy boundary layers. In addition, DALES can be used for studies of more specific cases, such as flow over sloping or heterogeneous terrain, and dispersion of inert and chemically active species. This paper contains an extensive description of the physical and numerical formulation of the code, and gives an overview of its applications and accomplishments in recent years.

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Metadata

Authors
Heus, T., van Heerwaarden, C. C., Jonker, H. J. J., Pier Siebesma, A., Axelsen, S., van den Dries, K., Geoffroy, O., Moene, A. F., Pino, D., de Roode, S. R., & Vilà-Guerau de Arellano, J.
Venue
Geoscientific Model Development
Published
2010-09-30
Volume
3
Issue
2
Pages
415-444
ISSN
  • 1991-959X (ISSN-L)
  • 1991-9603
OpenAlex
W2154405283
Cited by
300
References
60
FWCI
8.27
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications. https://app.cochat.ai/papers/10.5194/gmd-3-415-2010
The paper
Heus, T., van Heerwaarden, C. C., Jonker, H. J. J., Pier Siebesma, A., Axelsen, S., van den Dries, K., Geoffroy, O., Moene, A. F., Pino, D., de Roode, S. R., & Vilà-Guerau de Arellano, J. (2010). Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications. Geoscientific Model Development. https://doi.org/10.5194/gmd-3-415-2010

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.