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| Titel |
The Lagrangian particle dispersion model FLEXPART-WRF version 3.1 |
| VerfasserIn |
J. Brioude, D. Arnold, A. Stohl, M. Cassiani, D. Morton, P. Seibert, W. Angevine, S. Evan, A. Dingwell, J. D. Fast, R. C. Easter, I. Pisso, J. Burkhart, G. Wotawa |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 6, no. 6 ; Nr. 6, no. 6 (2013-11-01), S.1889-1904 |
| Datensatznummer |
250085011
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| Publikation (Nr.) |
 copernicus.org/gmd-6-1889-2013.pdf |
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| Zusammenfassung |
| The Lagrangian particle dispersion model FLEXPART was originally designed for
calculating long-range and mesoscale dispersion of air pollutants from point
sources, such that occurring after an accident in a nuclear power plant. In
the meantime, FLEXPART has evolved into a comprehensive tool for atmospheric
transport modeling and analysis at different scales. A need for further
multiscale modeling and analysis has encouraged new developments in FLEXPART.
In this paper, we present a FLEXPART version that works with the Weather
Research and Forecasting (WRF) mesoscale meteorological model. We explain how
to run this new model and present special options and features that differ
from those of the preceding versions. For instance, a novel turbulence scheme
for the convective boundary layer has been included that considers both the
skewness of turbulence in the vertical velocity as well as the vertical
gradient in the air density. To our knowledge, FLEXPART is the first model
for which such a scheme has been developed. On a more technical level,
FLEXPART-WRF now offers effective parallelization, and details on
computational performance are presented here. FLEXPART-WRF output can either
be in binary or Network Common Data Form (NetCDF) format, both of which have
efficient data compression. In addition, test case data and the source code
are provided to the reader as a Supplement. This material and future
developments will be accessible at http://www.flexpart.eu. |
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