Gutenberg Open Science: A novel method for objective identification of 3-D potential vorticity anomalies

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8848

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DC Field	Value	Language
dc.contributor.author	Fischer, Christoph	-
dc.contributor.author	Fink, Andreas H.	-
dc.contributor.author	Schömer, Elmar	-
dc.contributor.author	Van der Linden, Roderick	-
dc.contributor.author	Maier-Gerber, Michael	-
dc.contributor.author	Rautenhaus, Marc	-
dc.contributor.author	Riemer, Michael	-
dc.date.accessioned	2023-04-13T11:59:20Z	-
dc.date.available	2023-04-13T11:59:20Z	-
dc.date.issued	2022	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/8864	-
dc.description.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	en_GB
dc.description.sponsorship	Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577	de
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	004 Informatik	de_DE
dc.subject.ddc	004 Data processing	en_GB
dc.subject.ddc	530 Physik	de_DE
dc.subject.ddc	530 Physics	en_GB
dc.subject.ddc	550 Geowissenschaften	de_DE
dc.subject.ddc	550 Earth sciences	en_GB
dc.subject.ddc	624 Ingenieurbau und Umwelttechnik	de_DE
dc.subject.ddc	624 Civil engineering	en_GB
dc.title	A novel method for objective identification of 3-D potential vorticity anomalies	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-8848	-
jgu.type.contenttype	Scientific article	de
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 08 Physik, Mathematik u. Informatik	de
jgu.organisation.number	7940	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	Geoscientific Model Development	de
jgu.journal.volume	15	de
jgu.journal.issue	11	de
jgu.pages.start	4447	de
jgu.pages.end	4468	de
jgu.publisher.year	2022	-
jgu.publisher.name	Copernicus	de
jgu.publisher.place	Katlenburg-Lindau	de
jgu.publisher.issn	1991-9603	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	004	de
jgu.subject.ddccode	530	de
jgu.subject.ddccode	550	de
jgu.subject.ddccode	624	de
jgu.publisher.doi	10.5194/gmd-15-4447-2022	de
jgu.organisation.ror	https://ror.org/023b0x485	-
jgu.subject.dfg	Naturwissenschaften	de
Appears in collections:	DFG-491381577-G

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