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Thematic domain analysis for ocean modeling

Thematic domain analysis for ocean modeling
Thematic domain analysis for ocean modeling

Ocean science is a discipline that employs ocean models as an essential research asset. Such scientific modeling provides mathematical abstractions of real-world systems, e.g., the oceans. These models are then coded as implementations of the mathematical abstractions. The developed software systems are called models of the real-world system. To advance the state in engineering such ocean models, we intend to better understand how ocean models are developed and maintained in ocean science. In this paper, we present the results of semi-structured interviews and the Thematic Analysis (TA) of the interview results to analyze the domain of ocean modeling. Thereby, we identified developer requirements and impediments to model development and evolution, and related themes. This analysis can help to understand where methods from software engineering should be introduced and which challenges need to be addressed. We suggest that other researchers extend and repeat our TA with model developers and research software engineers working in related domains to further advance our knowledge and skills in scientific modeling.

Ocean modeling, Research software engineering, Thematic domain analysis
1364-8152
Jung, Reiner
0e6d3b51-6be8-46e5-a283-7a1dee17b2fc
Gundlach, Sven
38bed682-d951-43bb-898a-67bfa327625b
Hasselbring, Wilhelm
ee89c5c9-a900-40b1-82c1-552268cd01bd
Jung, Reiner
0e6d3b51-6be8-46e5-a283-7a1dee17b2fc
Gundlach, Sven
38bed682-d951-43bb-898a-67bfa327625b
Hasselbring, Wilhelm
ee89c5c9-a900-40b1-82c1-552268cd01bd

Jung, Reiner, Gundlach, Sven and Hasselbring, Wilhelm (2022) Thematic domain analysis for ocean modeling. Environmental Modelling and Software, 150, [105323]. (doi:10.1016/j.envsoft.2022.105323).

Record type: Article

Abstract

Ocean science is a discipline that employs ocean models as an essential research asset. Such scientific modeling provides mathematical abstractions of real-world systems, e.g., the oceans. These models are then coded as implementations of the mathematical abstractions. The developed software systems are called models of the real-world system. To advance the state in engineering such ocean models, we intend to better understand how ocean models are developed and maintained in ocean science. In this paper, we present the results of semi-structured interviews and the Thematic Analysis (TA) of the interview results to analyze the domain of ocean modeling. Thereby, we identified developer requirements and impediments to model development and evolution, and related themes. This analysis can help to understand where methods from software engineering should be introduced and which challenges need to be addressed. We suggest that other researchers extend and repeat our TA with model developers and research software engineers working in related domains to further advance our knowledge and skills in scientific modeling.

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EMS2022arXiv - Accepted Manuscript
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More information

Accepted/In Press date: 12 January 2022
e-pub ahead of print date: 31 January 2022
Published date: 3 February 2022
Additional Information: Publisher Copyright: © 2022 Elsevier Ltd
Keywords: Ocean modeling, Research software engineering, Thematic domain analysis

Identifiers

Local EPrints ID: 489060
URI: http://eprints.soton.ac.uk/id/eprint/489060
ISSN: 1364-8152
PURE UUID: 59f356a6-663d-403d-8882-73a7f5783596
ORCID for Wilhelm Hasselbring: ORCID iD orcid.org/0000-0001-6625-4335

Catalogue record

Date deposited: 11 Apr 2024 17:25
Last modified: 13 Jul 2024 02:12

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Contributors

Author: Reiner Jung
Author: Sven Gundlach
Author: Wilhelm Hasselbring ORCID iD

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