dc.contributor.author	Mikula, Natalia	en_US
dc.contributor.author	Dörffel, Tom	en_US
dc.contributor.author	Baum, Daniel	en_US
dc.contributor.author	Hege, Hans-Christian	en_US
dc.contributor.editor	Borgo, Rita	en_US
dc.contributor.editor	Marai, G. Elisabeta	en_US
dc.contributor.editor	Schreck, Tobias	en_US
dc.date.accessioned	2022-06-03T06:06:13Z
dc.date.available	2022-06-03T06:06:13Z
dc.date.issued	2022
dc.description.abstract	Our ability to grasp and understand complex phenomena is essentially based on recognizing structures and relating these to each other. For example, any meteorological description of a weather condition and explanation of its evolution recurs to meteorological structures, such as convection and circulation structures, cloud fields and rain fronts. All of these are spatiotemporal structures, defined by time-dependent patterns in the underlying fields. Typically, such a structure is defined by a verbal description that corresponds to the more or less uniform, often somewhat vague mental images of the experts. However, a precise, formal definition of the structures or, more generally, of the concepts is often desirable, e.g., to enable automated data analysis or the development of phenomenological models. Here, we present a systematic approach and an interactive tool to obtain formal definitions of spatiotemporal structures. The tool enables experts to evaluate and compare different structure definitions on the basis of data sets with time-dependent fields that contain the respective structure. Since structure definitions are typically parameterized, an essential part is to identify parameter ranges that lead to desired structures in all time steps. In addition, it is important to allow a quantitative assessment of the resulting structures simultaneously. We demonstrate the use of the tool by applying it to two meteorological examples: finding structure definitions for vortex cores and center lines of temporarily evolving tropical cyclones. Ideally, structure definitions should be objective and applicable to as many data sets as possible. However, finding such definitions, e.g., for the common atmospheric structures in meteorology, can only be a long-term goal. The proposed procedure, together with the presented tool, is just a first systematic approach aiming at facilitating this long and arduous way.	en_US
dc.description.number	3
dc.description.sectionheaders	Engineering, Physics, and Math
dc.description.seriesinformation	Computer Graphics Forum
dc.description.volume	41
dc.identifier.doi	10.1111/cgf.14543
dc.identifier.issn	1467-8659
dc.identifier.pages	321-332
dc.identifier.pages	12 pages
dc.identifier.uri	https://doi.org/10.1111/cgf.14543
dc.identifier.uri	https://diglib.eg.org:443/handle/10.1111/cgf14543
dc.publisher	The Eurographics Association and John Wiley & Sons Ltd.	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	CCS Concepts: Computing methodologies --> Modeling methodologies; Human-centered computing --> Scientific visualization; Visual analytics; Applied computing --> Earth and atmospheric sciences
dc.subject	Computing methodologies
dc.subject	Modeling methodologies
dc.subject	Human centered computing
dc.subject	Scientific visualization
dc.subject	Visual analytics
dc.subject	Applied computing
dc.subject	Earth and atmospheric sciences
dc.title	An Interactive Approach for Identifying Structure Definitions	en_US

An Interactive Approach for Identifying Structure Definitions

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