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Articles | Volume 12, issue 4
Articles | Volume 12, issue 4
https://doi.org/10.5194/os-12-909-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/os-12-909-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 12, issue 4
Research article
 | 
26 Jul 2016
Research article |  | 26 Jul 2016

Accessing diverse data comprehensively – CODM, the COSYNA data portal

Gisbert Breitbach, Hajo Krasemann, Daniel Behr, Steffen Beringer, Uwe Lange, Nhan Vo, and Friedhelm Schroeder

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Cited articles

Baschek, B., Brix, H., Badewien, T., Breitbach, G., Colijn, F., Doerffer, R., Emeis, K.-C., Eschenbach, C., Friedrich, J., Fischer, P., Garthe, S., Horstmann, J., Ohle, N., Petersen, W., Riethmueller, R., Roettgers, R., Schlueter, M., Schroeder, F., Schulz-Stellenfleth, J., Seemann, J., Stanev, E., Winter, C., Wirtz, K., Zielinski, O., and Ziemer, F.: COSYNA – Coastal Observing System for Northern and Arctic Seas, Special Issue, Ocean Science and BioGeoScience, https://doi.org/10.5194/os-2016-31, 2016.
Behrens, A. and Guenther, H.: Operational wave prediction of extreme storms in Northern Europe, Nat. Hazards, 49, 387–399, 2009.
Blower, J. D., Gemmell, A. L., Griffiths, G. H., Haines, K., Santokhee, A., and Yang, X.: A Web Map Service implementation for the visualization of multidimensional gridded environmental data, Environ. Modell. Software, 47, 218–224, 2013.
Botts, R.: OpenGIS® SensorML: Model and XML Encoding Standard, https://portal.opengeospatial.org/files/?artifact_id=55939, 2014.
Botts, R. and Reed, D. (Eds.): OGC® Sensor Web Enablement: Overview And High Level Architecture, http://portal.opengeospatial.org/files/?artifact_id=15540, 2006.
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Short summary
The coastal observation system COSYNA aims to describe the physical and biogeochemical state of a regional coastal system. The COSYNA data management (CODM) is the link between observations, model results and data usage. The challenge for CODM is the integration of diverse data sources in terms of parameters, dimensionality and observation methods to gain a comprehensive view of the observations. How this is achieved is described in the paper.
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Special issue
COSYNA: integrating observations and modeling to understand...