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Providing metadata and visualization for 20 years of hydrodynamic model data for the German Bight
Structured information for the uniform description of resources (metadata) is an unpopular topic but without metadata, information, data and services are neither searchable nor usable. The consistent usage of metadata allows to supply data with significant information from start to publication.
Background
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3D hydrodynamic numerical model of the North Sea Focus area: German Bight Unstructured grid resolution 30 – 2000 m Variable subgrid modelling with annual bathymetries 20 years of hindcast simulation as netCDF files
Focus area: German Bight Generic analysis tools for Big Data Specialized analysis tools for coastal engineering
applications e. g. tidal characteristics for water level, current etc.
Simulations Analysis
The metadata file is generated at the start of each new model run. The structure is based on ISO 19115, 19157, INSPIRE, GDI-DE and GovData.
What happened with the metadata in the meantime? Automatically updated for each new model run and version Continuous control, validation and maintenance Data metadata are generated and stored Process steps in the analysis are automatically saved in lineage element
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70 TB 40 TB
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Data storage
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Services
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Model data
A raster tool realigns synoptic data-sets for 1000 m dx resolution.
v Selected characteristic values prepared as GIS data
Analysis data
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PostgreSQL database
Metadata repository
THREDDS data server
Access
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Discovery Visualization Download
1.5 TB
90 GB
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Data products
data data
grid
coast line
11. April 2019 . contact person: Romina Ihde, Janina Freund, Andreas Plüß, Frank Kösters . email: [email protected] . https://mdi-de.baw.de/easygsh
bathymetry
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Publication
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Annual bathymetries (1996-2015)
20 years of tidal characteristics, e.g. tidal range, currents, bottom shear stress
Morphodynamic parameters , e. g. morphological space and activities
Sediment distribution and more as OPEN DATA
WCS
WMS
WFS
CSW
water level
data
metadata
data
metadata
![MIQS: Metadata Indexing and Querying Service for Self ...sbyna/research/papers/2019/...(e.g. MongoDB [29]) are used for maintaining the metadata and providing the metadata search functionality](https://img.pdfslide.net/doc/110x75/6021c4b9340b8c3b6466d70c/miqs-metadata-indexing-and-querying-service-for-self-sbynaresearchpapers2019.jpg)
