Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Johanson, Arne"'
Publikováno v:
Ecological Modelling, 349, 11-25 (2017)
To successfully manage marine fisheries using an ecosystem-based approach, long-term predictions of fish stock development considering changing environmental conditions are necessary. Such predictions can be provided by end-to-end ecosystem models, w
Externí odkaz:
http://arxiv.org/abs/2210.01100
Publikováno v:
Ecological Informatics, 39, 109-118 (2017)
While the distribution patterns of cold-water corals, such as Paragorgia arborea, have received increasing attention in recent studies, little is known about their in situ activity patterns. In this paper, we examine polyp activity in P. arborea usin
Externí odkaz:
http://arxiv.org/abs/2209.13644
Autor:
Johanson, Arne, Hasselbring, Wilhelm
Despite the increasing importance of in silico experiments to the scientific discovery process, state-of-the-art software engineering practices are rarely adopted in computational science. To understand the underlying causes for this situation and to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a4023852153ba71cb9a2f67b5a2391b
Poster Beitrag der Open-Access-Tage 2018 in Graz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2395a9a3d0090a9db8c6c307d8d93e09
Publikováno v:
[Paper] In: International Open Science Conference 2017, 12.-14.03.2017, Berlin, Germany .
Ocean observation systems, such as Argo floats or the modular ocean laboratory MoLab, produce an increasing amount of time series data. Both, statistical data mining techniques and manual exploration via visualization are necessary for oceanographers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2386::7f8734fc548019357efda161bde839b7
http://oceanrep.geomar.de/37579/
http://oceanrep.geomar.de/37579/
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
[Poster] In: Sixth International Workshop on Climate Informatics (CI 2016), 22.-23.09.2016, Boulder, Colorado . Sixth International Workshop on Climate Informatics (CI 2016) .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2386::8556633646408df225d6977b9e85bc2a
http://oceanrep.geomar.de/34759/
http://oceanrep.geomar.de/34759/
Publikováno v:
[Paper] In: 6. International Workshop on Climate Informatics (CI 2016), 22.-23.09.2016, Boulder, Colorado . Proceedings of the Sixth International Workshop on Climate Informatics (CI 2016) ; pp. 25-28 .
Ocean observation systems gather an increasing amount of climate-relevant time series data. To interactively explore and analyze such high-dimensionaldatasets, we developed the software OceanTEA. Our open-source tool leverages modern web technology t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2386::1f888fd270fc3b971a0b47ff3f7846d3
http://oceanrep.geomar.de/34758/
http://oceanrep.geomar.de/34758/
Autor:
Johanson, Arne
Publikováno v:
(PhD/ Doctoral thesis), Technische Fakultät, Kiel, Germany, 401 pp
The ever-increasing complexity of in silico experiments in computational science is reflected in the growing complexity of the simulation software enabling these experiments. However, computational scientists rarely employ state-of-the-art software e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2386::2730d3938fd952f68c148385f16518be
http://oceanrep.geomar.de/32070/
http://oceanrep.geomar.de/32070/