OceanTEA: Exploring Ocean-Derived Climate Data Using Microservices.

Johanson, Arne, Flögel, Sascha, Dullo, Christian and Hasselbring, Wilhelm (2016) OceanTEA: Exploring Ocean-Derived Climate Data Using Microservices. Open Access [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 . NCAR Technical Note NCAR/TN, 529 .

[img]
Preview
Text
CI2016.pdf - Published Version

Download (1321Kb) | Preview

Abstract

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 to support interactive data visualization, spatial analysis of current patterns, and temporal pattern discovery via machine learning methods. The microservice architecture of OceanTEA ensures a maintainable implementation that seamlessly scales from desktop computers to cloud computing infrastructure.

Document Type: Conference or Workshop Item (Paper)
Keywords: Climate Data, Microservices
Research affiliation: Kiel University > Software Engineering
OceanRep > The Future Ocean - Cluster of Excellence > FO-R10
Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-P-OZ Paleo-Oceanography
Open Access Journal?: Yes
Related URLs:
Projects: Future Ocean, OceanTEA
Date Deposited: 17 Nov 2016 13:58
Last Modified: 15 Mar 2018 08:04
URI: http://oceanrep.geomar.de/id/eprint/34758

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...