A novel method for objective identification of 3-D potential vorticity anomalies
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- Christoph Fischer
- Andreas H Fink
- Elmar Schoemer
- Roderick van der Linden
- Michael Maier-Gerber
- Marc Rautenhaus
- Michael Riemer
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000808128500001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.5194/gmd-15-4447-2022
- eISSN
- 1991-9603
- Externe Identifier
- Clarivate Analytics Document Solution ID: 1Y4QY
- ISSN
- 1991-959X
- Ausgabe der Veröffentlichung
- 11
- Zeitschrift
- GEOSCIENTIFIC MODEL DEVELOPMENT
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Titel
- A novel method for objective identification of 3-D potential vorticity anomalies
- Sub types
- Article
- Ausgabe der Zeitschrift
- 15
Data source: Web of Science (Lite)
- Other metadata sources:
-
- Abstract
- <jats:p>Abstract. Potential vorticity (PV) analysis plays a central role in studying atmospheric dynamics and in particular in studying the life cycle of weather systems. The three-dimensional (3-D) structure and temporal evolution of the associated PV features, however, are not yet fully understood. An automated technique to objectively identify 3-D PV features can help to shed light on 3-D atmospheric dynamics in specific case studies as well as facilitate statistical evaluations within climatological studies. Such a technique to identify PV features fully in 3-D, however, does not yet exist. This study presents a novel algorithm for the objective identification of PV anomalies along the dynamical tropopause in gridded data, as commonly output by numerical simulation models. The algorithm is inspired by morphological image processing techniques and can be applied to both two-dimensional (2-D) and 3-D fields on vertically isentropic levels. The method maps input data to a horizontally stereographic projection and relies on an efficient computation of horizontal distances within the projected field. Candidates for PV anomaly features are filtered according to heuristic criteria, and feature description vectors are obtained for further analysis. The generated feature descriptions are well suited for subsequent case studies of 3-D atmospheric dynamics as represented by the underlying numerical simulation. We evaluate our approach by comparison with an existing 2-D technique and demonstrate the full 3-D perspective by means of a case study of an extreme precipitation event that was dynamically linked to a prominent subtropical PV anomaly. The case study demonstrates variations in the 3-D structure of the detected PV anomalies that would not have been captured by a 2-D method. We discuss further advantages of using a 3-D approach, including elimination of temporal inconsistencies in the detected features due to 3-D structural variation and elimination of the need to manually select a specific isentropic level on which the anomalies are assumed to be best captured. These advantages, as well as the suitability of the implementation to process big data sets, also open applications for climatological analyses. The method is made available as open-source for straightforward use by the atmospheric community. </jats:p>
- Autoren
- Christoph Fischer
- Andreas H Fink
- Elmar Schömer
- Roderick van der Linden
- Michael Maier-Gerber
- Marc Rautenhaus
- Michael Riemer
- DOI
- 10.5194/gmd-15-4447-2022
- eISSN
- 1991-9603
- Ausgabe der Veröffentlichung
- 11
- Zeitschrift
- Geoscientific Model Development
- Sprache
- en
- Online publication date
- 2022
- Paginierung
- 4447 - 4468
- Status
- Published online
- Herausgeber
- Copernicus GmbH
- Herausgeber URL
- http://dx.doi.org/10.5194/gmd-15-4447-2022
- Datum der Datenerfassung
- 2023
- Titel
- A novel method for objective identification of 3-D potential vorticity anomalies
- Ausgabe der Zeitschrift
- 15
Data source: Crossref
- Author's licence
- CC-BY
- Autoren
- Christoph Fischer
- Andreas H Fink
- Elmar Schömer
- Roderick Van der Linden
- Michael Maier-Gerber
- Marc Rautenhaus
- Michael Riemer
- Hosting institution
- Universitätsbibliothek Mainz
- Sammlungen
- DFG-491381577-G
- Resource version
- Published version
- DOI
- 10.5194/gmd-15-4447-2022
- Funding acknowledgements
- Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577
- File(s) embargoed
- false
- Open access
- true
- ISSN
- 1991-9603
- Ausgabe der Veröffentlichung
- 11
- Zeitschrift
- Geoscientific Model Development
- Schlüsselwörter
- 004 Informatik
- 004 Data processing
- 530 Physik
- 530 Physics
- 550 Geowissenschaften
- 550 Earth sciences
- 624 Ingenieurbau und Umwelttechnik
- 624 Civil engineering
- Sprache
- eng
- Open access status
- Open Access
- Paginierung
- 4447 - 4468
- Datum der Veröffentlichung
- 2022
- Public URL
- https://openscience.ub.uni-mainz.de/handle/20.500.12030/8864
- Herausgeber
- Copernicus
- Datum der Datenerfassung
- 2023
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2023
- Zugang
- Public
- Titel
- A novel method for objective identification of 3-D potential vorticity anomalies
- Ausgabe der Zeitschrift
- 15
Files
a_novel_method_for_objective_-20230223101947788.pdf
Data source: OPENSCIENCE.UB
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