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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ftethz:oai:www.research-collection.ethz.ch:20.500.11850/103598 2023-05-15T17:36:12+02:00 The LAGRANTO Lagrangian analysis tool – version 2.0 Sprenger, Michael Wernli, Heini 2015-08 application/application/pdf https://hdl.handle.net/20.500.11850/103598 https://doi.org/10.3929/ethz-b-000103598 en eng Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-8-2569-2015 info:eu-repo/semantics/altIdentifier/wos/000360652200009 http://hdl.handle.net/20.500.11850/103598 doi:10.3929/ethz-b-000103598 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Creative Commons Attribution 3.0 Unported CC-BY Geoscientific Model Development, 8 (8) info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2015 ftethz https://doi.org/20.500.11850/103598 https://doi.org/10.3929/ethz-b-000103598 https://doi.org/10.5194/gmd-8-2569-2015 2023-02-13T00:47:20Z 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 m2 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. ISSN:1991-9603 ISSN:1991-959X Article in Journal/Newspaper North Atlantic ETH Zürich Research Collection |
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ETH Zürich Research Collection |
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ftethz |
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English |
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 m2 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. ISSN:1991-9603 ISSN:1991-959X |
format |
Article in Journal/Newspaper |
author |
Sprenger, Michael Wernli, Heini |
spellingShingle |
Sprenger, Michael Wernli, Heini The LAGRANTO Lagrangian analysis tool – version 2.0 |
author_facet |
Sprenger, Michael Wernli, Heini |
author_sort |
Sprenger, Michael |
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 |
publishDate |
2015 |
url |
https://hdl.handle.net/20.500.11850/103598 https://doi.org/10.3929/ethz-b-000103598 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Geoscientific Model Development, 8 (8) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-8-2569-2015 info:eu-repo/semantics/altIdentifier/wos/000360652200009 http://hdl.handle.net/20.500.11850/103598 doi:10.3929/ethz-b-000103598 |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Creative Commons Attribution 3.0 Unported |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/20.500.11850/103598 https://doi.org/10.3929/ethz-b-000103598 https://doi.org/10.5194/gmd-8-2569-2015 |
_version_ |
1766135611008221184 |