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Autoren: Simon, Helge
Heusinger, Jannik
Sinsel, Tim
Weber, Stephan
Bruse, Michael
Titel: Implementation of a Lagrangian Stochastic Particle Trajectory Model (LaStTraM) to simulate concentration and flux footprints using the microclimate model ENVI-Met
Online-Publikationsdatum: 15-Nov-2021
Sprache des Dokuments: Englisch
Zusammenfassung/Abstract: The number of studies evaluating flux or concentration footprints has grown considerably in recent years. These footprints are vital to understand surface–atmosphere flux measurements, for example by eddy covariance. The newly developed backwards trajectory model LaStTraM (Lagrangian Stochastic Trajectory Model) is a post-processing tool, which uses simulation results of the holistic 3D microclimate model ENVI-met as input. The probability distribution of the particles is calculated using the Lagrangian Stochastic method. Combining LaStTraM with ENVI-met should allow us to simulate flux and concentration footprints in complex urban environments. Applications and evaluations were conducted through a comparison with the commonly used 2D models Kormann Meixner and Flux Footprint Predictions in two different meteorological cases (stable, unstable) and in three different detector heights. LaStTraM is capable of reproducing the results of the commonly used 2D models with high accuracy. In addition to the comparison with common footprint models, studies with a simple heterogeneous and a realistic, more complex model domain are presented. All examples show plausible results, thus demonstrating LaStTraM’s potential for the reliable calculation of footprints in homogeneous and heterogenous areas.
DDC-Sachgruppe: 550 Geowissenschaften
550 Earth sciences
Veröffentlichende Institution: Johannes Gutenberg-Universität Mainz
Organisationseinheit: FB 09 Chemie, Pharmazie u. Geowissensch.
Veröffentlichungsort: Mainz
DOI: http://doi.org/10.25358/openscience-6512
Version: Published version
Publikationstyp: Zeitschriftenaufsatz
Nutzungsrechte: CC BY
Informationen zu den Nutzungsrechten: https://creativecommons.org/licenses/by/4.0/
Zeitschrift: Atmosphere
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8
Seitenzahl oder Artikelnummer: 977
Verlag: MDPI AG
Verlagsort: Basel, Switzerland
Erscheinungsdatum: 2021
ISSN: 2073-4433
URL der Originalveröffentlichung: https://doi.org/10.3390/atmos12080977
DOI der Originalveröffentlichung: 10.3390/atmos12080977
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