The Geo4NIEM Project was organized to address specific functional requirements to meet the following objectives:
What is it? An inter-disciplinary, inter-agency and international virtual observatory system for water resources information from observations and forecasts in the U.S. and Canada, building on current networks and capabilities, designed to support these functions:
- Hydrologic modeling for historical and current stream flow and groundwater conditions. Requires the integration of trans-boundary stream flow and groundwater well data, as well as national river networks (US NHD and Canada NHN) from multiple agencies. Emphasis on time series data and real-time flood monitoring.
- Modeling and assessment of nutrient load into the lakes. Requires accessing water-quality data from multiple agencies and integrating with stream flow information for calculating loads. Emphasis on discrete sampled water quality observations, linking those to specific NHD stream reaches and catchments, and additional metadata for sampled data.
- Collection and preservation of provenance, uncertainty measures, and other metadata throughout processing workflows.
Key objectives of these use cases are:
- To link observations data to the stream network, enabling queries of conditions upstream from a given location to return all relevant gages and well locations. This is currently not practical with the data sources available.
- To bridge differences in semantics across information models and processes used by the various data producers, to improve the hydrologic and water quality modeling capabilities.
Why do it now? Improved capabilities for sharing, accessing, and integrating hydrologic and climatic data have been identified as a critical need for some time. We are at a point in time at which an opportunity exists to make large steps forward by leveraging existing resources – including data portals, standards, technologies, activities, and expertise – to develop an initial operational capability for the system described above.
- Leverage a large body of existing data holdings and related activities of multiple agencies in the US and Canada.
- Influence data and metadata standards used internationally for web-based information sharing, through multiple agency cooperation and OGC standards setting process.
- Reduction of procurement risk through partnership-based development of an initial operating capability verses ~10x the cost for building a fully operational system using a traditional “waterfall approach”.
- Identification and clarification of what is possible, and of the key technical and non-technical barriers to continued progress in sharing and integrating hydrologic and climatic information.
- Promote understanding and strengthen ties within the hydro-climatic community. This is anticipated to be the first phase of a multi-phase project, with future work on forecasting the hydrologic consequences of extreme weather events, and enabling more sophisticated water quality modeling.
- Release Request for Quotation / Call for Participation (RFQ/CFP)
- Proposals due
- Project Kickoff Meeting, Washington DC area
- Completion of development and engineering reports
This project has been renamed to the HDWG Groundwater IE
This Interoperability Experiment (IE) will implement a number of prototype GeoLinking services based on the interface specification originally described in the Geolinked Data Access Service (GDAS) and GeoLinking Service (GLS) Discussion Papers. The purpose of the IE will be to confirm that OGC specifications completely support the ab...
The MOSIA consortium group (MOdeling Support with standards for Information and Architecture models applied to ATM) is a consortium of organisations with a background in Information management and Information, Service and Architecture modeling from a set of standardisaton organisations, in particular OGC (Open Geospatial Consortium), ISO/TC211, INSPIRE and OMG (Object Management Group). The MOSIA group is led by SINTEF and consist of the following partners:
· Snowflake Software
· Open Geospatial Consortium (OGCE)
· No Magic
· Institute for Geoinformatics (IfGI), Westfälische Wilhelms-Universität Münster (WWU)
· Managed AIS (M-AIS)
OGC Testbed 10 (OWS-10) brings new capabilities
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