The LAGRANTO Lagrangian analysis tool – version 2.0
Lagrangian trajectories are widely used in the atmospheric sciences, for instance to identify flow structures in extratropical cyclones (e.g., warm conveyor belts) and long-range transport pathways of moisture and trace substances. Here a new version of the Lagrangian analysis tool LAGRANTO (Wernli...
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ftdoajarticles:oai:doaj.org/article:2085c8afa6a34bb2a117ffac0be62251 2023-05-15T17:35:30+02:00 The LAGRANTO Lagrangian analysis tool – version 2.0 M. Sprenger H. Wernli 2015-08-01T00:00:00Z https://doi.org/10.5194/gmd-8-2569-2015 https://doaj.org/article/2085c8afa6a34bb2a117ffac0be62251 EN eng Copernicus Publications http://www.geosci-model-dev.net/8/2569/2015/gmd-8-2569-2015.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 1991-959X 1991-9603 doi:10.5194/gmd-8-2569-2015 https://doaj.org/article/2085c8afa6a34bb2a117ffac0be62251 Geoscientific Model Development, Vol 8, Iss 8, Pp 2569-2586 (2015) Geology QE1-996.5 article 2015 ftdoajarticles https://doi.org/10.5194/gmd-8-2569-2015 2022-12-30T23:10:03Z Lagrangian trajectories are widely used in the atmospheric sciences, for instance to identify flow structures in extratropical cyclones (e.g., warm conveyor belts) and long-range transport pathways of moisture and trace substances. Here a new version of the Lagrangian analysis tool LAGRANTO (Wernli and Davies, 1997) is introduced, which offers considerably enhanced functionalities. Trajectory starting positions can be defined easily and flexibly based on different geometrical and/or meteorological conditions, e.g., equidistantly spaced within a prescribed region and on a stack of pressure (or isentropic) levels. After the computation of the trajectories, a versatile selection of trajectories is offered based on single or combined criteria. These criteria are passed to LAGRANTO with a simple command language (e.g., "GT:PV:2" readily translates into a selection of all trajectories with potential vorticity, PV, greater than 2 PVU; 1 PVU = 10 −6 K m 2 kg −1 s −1 ). Full versions of this new version of LAGRANTO are available for global ECMWF and regional COSMO data, and core functionality is provided for the regional WRF and MetUM models and the global 20th Century Reanalysis data set. The paper first presents the intuitive application of LAGRANTO for the identification of a warm conveyor belt in the North Atlantic. A further case study then shows how LAGRANTO can be used to quasi-operationally diagnose stratosphere–troposphere exchange events. Whereas these examples rely on the ECMWF version, the COSMO version and input fields with 7 km horizontal resolution serve to resolve the rather complex flow structure associated with orographic blocking due to the Alps, as shown in a third example. A final example illustrates the tool's application in source–receptor analysis studies. The new distribution of LAGRANTO is publicly available and includes auxiliary tools, e.g., to visualize trajectories. A detailed user guide describes all LAGRANTO capabilities. Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 8 8 2569 2586 |
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English |
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Geology QE1-996.5 |
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Geology QE1-996.5 M. Sprenger H. Wernli The LAGRANTO Lagrangian analysis tool – version 2.0 |
topic_facet |
Geology QE1-996.5 |
description |
Lagrangian trajectories are widely used in the atmospheric sciences, for instance to identify flow structures in extratropical cyclones (e.g., warm conveyor belts) and long-range transport pathways of moisture and trace substances. Here a new version of the Lagrangian analysis tool LAGRANTO (Wernli and Davies, 1997) is introduced, which offers considerably enhanced functionalities. Trajectory starting positions can be defined easily and flexibly based on different geometrical and/or meteorological conditions, e.g., equidistantly spaced within a prescribed region and on a stack of pressure (or isentropic) levels. After the computation of the trajectories, a versatile selection of trajectories is offered based on single or combined criteria. These criteria are passed to LAGRANTO with a simple command language (e.g., "GT:PV:2" readily translates into a selection of all trajectories with potential vorticity, PV, greater than 2 PVU; 1 PVU = 10 −6 K m 2 kg −1 s −1 ). Full versions of this new version of LAGRANTO are available for global ECMWF and regional COSMO data, and core functionality is provided for the regional WRF and MetUM models and the global 20th Century Reanalysis data set. The paper first presents the intuitive application of LAGRANTO for the identification of a warm conveyor belt in the North Atlantic. A further case study then shows how LAGRANTO can be used to quasi-operationally diagnose stratosphere–troposphere exchange events. Whereas these examples rely on the ECMWF version, the COSMO version and input fields with 7 km horizontal resolution serve to resolve the rather complex flow structure associated with orographic blocking due to the Alps, as shown in a third example. A final example illustrates the tool's application in source–receptor analysis studies. The new distribution of LAGRANTO is publicly available and includes auxiliary tools, e.g., to visualize trajectories. A detailed user guide describes all LAGRANTO capabilities. |
format |
Article in Journal/Newspaper |
author |
M. Sprenger H. Wernli |
author_facet |
M. Sprenger H. Wernli |
author_sort |
M. Sprenger |
title |
The LAGRANTO Lagrangian analysis tool – version 2.0 |
title_short |
The LAGRANTO Lagrangian analysis tool – version 2.0 |
title_full |
The LAGRANTO Lagrangian analysis tool – version 2.0 |
title_fullStr |
The LAGRANTO Lagrangian analysis tool – version 2.0 |
title_full_unstemmed |
The LAGRANTO Lagrangian analysis tool – version 2.0 |
title_sort |
lagranto lagrangian analysis tool – version 2.0 |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/gmd-8-2569-2015 https://doaj.org/article/2085c8afa6a34bb2a117ffac0be62251 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Geoscientific Model Development, Vol 8, Iss 8, Pp 2569-2586 (2015) |
op_relation |
http://www.geosci-model-dev.net/8/2569/2015/gmd-8-2569-2015.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 1991-959X 1991-9603 doi:10.5194/gmd-8-2569-2015 https://doaj.org/article/2085c8afa6a34bb2a117ffac0be62251 |
op_doi |
https://doi.org/10.5194/gmd-8-2569-2015 |
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Geoscientific Model Development |
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2569 |
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