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Metadata in a Hydro-meteorological Model Chain

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Presentation on theme: "Metadata in a Hydro-meteorological Model Chain"— Presentation transcript:

1 Metadata in a Hydro-meteorological Model Chain
Principal Scientist at HR Wallingford in Oxfordshire, UK Chair of OpenMI Association Metadata in a Hydro-meteorological Model Chain 3rd Workshop on Coupling Technologies for Earth System Models 21st April 2015; Manchester, UK. Q.K.Harpham

2 Context: DRIHM

3 DRIHM Use Case

4 DRIHM Model Architecture
Meteorology Hydrology P-Interface Oceanography Hydraulics Q-Interface Coastal Morphology

5 OpenMI Composition

6 Metadata, Documentation and Licence
Model MAP Metadata, Documentation and Licence Adaptors to common interface standards for I/O using controlled vocabularies What must I do to my model? You must MAP it. This presentation refers to how metadata can enable this model chain. Portability of model components

7 Metadata Nature and Purpose
Supports discovery of model instances. Supports an initial assessment of a model’s suitability for use. Supports validation of coupling across interfaces. Derived from standards. As simple and short as possible.

8 Derived from ISO19115 (Title, Abstract, Point of Contact etc.)
Metadata Formulation Derived from ISO19115 (Title, Abstract, Point of Contact etc.) Extension to describe numerical models including: Language, platform, dimensions, run time Inputs and outputs (including Name, Description, Format, Feature Type) Position given as bounding box Parameter given in controlled vocabulary

9 Input / Output Interfaces
Particular attention to model I/O interfaces: Assumption of single coordinate reference system. Overall model extent for main catalogue. Bounding box for each I/O. Parameter name and file path (to identify data location). Time range. Timestep type (regular / irregular); max and min interval.

10 Encoded Implementation

11 Usage Generally accurate and comprehensive. Spatial (bounding boxes) and temporal (bounds and timesteps) highly accurate. Controlled vocabularies used if offered, sometimes failed at scientific boundaries. Not of sufficient quality to support automation. Uncertainty over necessity of listing all inputs and outputs.

12 Interface Validation Not precise enough to completely automate the interface, but validates to a certain level: receivingModel.input.parameterName=providingModel.output.parameterName AND receivingModel.input.parameterUnit = providingModel.output.parameterUnit receivingModel.input.timeRange.minimumTime >= providingModel.output.timeRange.minimumTime AND receivingModel.input.timeRange.maximumTime <= providingModel.output.timeRange.maximumTime

13 Spatial validation using feature type and bounding box:
Interface Validation Spatial validation using feature type and bounding box: receivingModel.input.featureType = providingModel.output.featureType providingModel.output.position contains receivingModel.input.position or coordinate by coordinate: providingModel.output.y-coordinate >= greatest receivingModel.input.y-coordinate AND smallest providingModel.output.y-coordinate <= smallest receivingModel.input.y-coordinate AND similar for x-coordinate…

14 Harpham, Q. K. and Danovaro, E. , 2015
Harpham, Q.K. and Danovaro, E., Towards standard metadata to support models and interfaces in a hydro-meteorological model chain, Journal of Hydroinformatics , IWA Publishing. doi: /hydro Q.K.Harpham


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