Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-9341
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dc.contributor.authorMayer, Amelie-
dc.contributor.authorWirth, Volkmar-
dc.date.accessioned2023-08-03T07:06:05Z-
dc.date.available2023-08-03T07:06:05Z-
dc.date.issued2023-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/9359-
dc.description.abstractThe Lagrangian representation of fluid flows offers a natural perspective to study many kinds of physical mechanisms. By contrast, the Eulerian representation is more convenient from a diagnostic point of view. This article attempts to combine elements of both worlds by proposing an Eulerian method that allows one to extract Lagrangian information about the atmospheric flow. The method is based on the offline advection of passive tracer fields and includes a relaxation term. The latter device allows one to run the integration in a continuous fashion without the need for reinitialization. As a result one obtains accumulated Lagrangian information, for example, about the recent parcel displacement or the recent parcel-based diabatic heating, at each point of an Eulerian grid at any time step. The method is implemented with a pseudospectral algorithm suitable for gridded global atmospheric data and compared with the more traditional trajectory method. The method's utility is demonstrated on the basis of a few examples, which relate to cloud formation and the development of temperature anomalies. The examples highlight that the method provides a convenient diagnostic of parcel-based changes, paving an intuitive way to explore the physical processes involved. Due to its gridpoint-based nature, the proposed method can be applied to large data sets in a straightforward and computationally efficient manner, suggesting that the method is particularly useful for climatological analyses.en_GB
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG)|491381577|Open-Access-Publikationskosten 2022–2024 Universität Mainz - Universitätsmedizin-
dc.language.isoengde
dc.rightsCC BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc530 Physikde_DE
dc.subject.ddc530 Physicsen_GB
dc.subject.ddc550 Geowissenschaftende_DE
dc.subject.ddc550 Earth sciencesen_GB
dc.titleLagrangian description of the atmospheric flow from Eulerian tracer advection with relaxationen_GB
dc.typeZeitschriftenaufsatzde
dc.identifier.doihttp://doi.org/10.25358/openscience-9341-
jgu.type.dinitypearticleen_GB
jgu.type.versionPublished versionde
jgu.type.resourceTextde
jgu.organisation.departmentFB 08 Physik, Mathematik u. Informatikde
jgu.organisation.number7940-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleQuarterly journal of the Royal Meteorological Societyde
jgu.journal.volume149de
jgu.journal.issue753de
jgu.pages.start1271de
jgu.pages.end1292de
jgu.publisher.year2023-
jgu.publisher.nameWileyde
jgu.publisher.placeWeinheim u.a.de
jgu.publisher.issn0035-9009de
jgu.organisation.placeMainz-
jgu.subject.ddccode530de
jgu.subject.ddccode550de
dc.date.updated2023-07-24T09:16:40Z-
jgu.publisher.doi10.1002/qj.4453de
elements.object.id157923-
elements.object.labelsair-parcel approach-
elements.object.labelsatmospheric fluid dynamics-
elements.object.labelsatmospheric transport-
elements.object.labelsEulerian tracer technique-
elements.object.labelsLagrangian analysis-
elements.object.labelsLagrangian tracking-
elements.object.labelssynoptic-scale meteorology-
elements.object.labelstrajectories-
elements.object.labels0401 Atmospheric Sciences-
elements.object.labels0405 Oceanography-
elements.object.labels0406 Physical Geography and Environmental Geoscience-
elements.object.labelsMeteorology & Atmospheric Sciences-
elements.object.labels3701 Atmospheric sciences-
elements.object.typejournal-article-
jgu.organisation.rorhttps://ror.org/023b0x485-
Appears in collections:DFG-491381577-H

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