1 NOAA/National Weather Service John Halquist. 2 Why Standards? Accessibility Versatility Consistency Ensure correct use Remove ambiguity Leverage toolkits.

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Presentation transcript:

1 NOAA/National Weather Service John Halquist

2 Why Standards? Accessibility Versatility Consistency Ensure correct use Remove ambiguity Leverage toolkits

3 GEOSS Work plan DA GEOSS Data Sharing Principles 1.There will be full and open exchange of data, metadata, and products shared within GEOSS, recognizing relevant international instruments and national policies and legislation; 2.All shared data, metadata, and products will be made available with minimum time delay and at minimum cost; 3.All shared data, metadata, and products being free of charge or no more than cost of reproduction will be encouraged for research and education. GEOSS Architecture Implementation Pilot –Proposed for future AIP

4 Hydrology DWG Hydrology Domain Working Group (HDWG) Joint Working Group formed by the Open Geospatial Consortium (OGC) and the World Meteorological Organization (WMO) Commission for Hydrology (CHy) Seeking technical and institutional solutions for describing and exchanging data describing the state and location of water resources.

5 Hydrology DWG Developing WaterML 2.0 Candidate standard Conducting OGC Interoperability Experiments (IE) - demonstrate/validate standards and services –Groundwater IE (Completed 2010) –Surface Water IE (Completed ) –Hydrologic Forecasting (Underway ) –Future Groundwater IE Phase 2 Water Quality Water Supply

6 Hydrologic Forecasting IE Responsibilities

7 WaterML 2.0 WaterML 2.0 is a candidate Open Geospatial Consortium encoding standard for the representation of in-situ hydrological observations data. WaterML 2.0 is implemented as an application schema of the Geography Markup Language version and makes use of the OGC Observations and Measurements (O&M) standard and the OMXML GML Application Schema.

8 WaterML 2.0, continued OGC WaterML 2.0 will support encoding of hydrological and hydrogeological observation data in a variety of exchange scenarios. Example areas of usage are: exchange of data for operational monitoring and forecasting programs; supporting operation of infrastructure (e.g. dams, supply systems); exchange of observational and forecast data for surface water and groundwater; release of data for public dissemination; enhancing disaster management through data exchange; and exchange in support of national reporting.

9 WaterML 2.0 Examples

10 Use Cases

11 Use Cases Sensor Observation Service (SOS) –GetObservation –GetCapabilities –DescribeSensor Web Feature Service (WFS) –GetCapabilities –DescribeFeatureType –GetFeature Web Mapping Service (WMS)

12 Use Cases – Hydro Fcst IE Observation and Forecast data exchange Forecasts with projected infrastructure operation Infrastructure operation Cross border data exchange (International) Notification services

13 What can you do? Review candidate standard and provide comments and/or questions Adopt WaterML 2.0 standard for use Participate in future improvements and modifications to the standard Watch OGC Website for status – –

14 Questions?