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GEOSS Water Services for Data and Maps Community Recommendations David K. Arctur, Project Lead, GEOSS AIP-6 Water SBA University.

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Presentation on theme: "GEOSS Water Services for Data and Maps Community Recommendations David K. Arctur, Project Lead, GEOSS AIP-6 Water SBA University."— Presentation transcript:

1 GEOSS Water Services for Data and Maps Community Recommendations David K. Arctur, Project Lead, GEOSS AIP-6 Water SBA University of Texas at Austin Open Geospatial Consortium (OGC) Presented at GEO X Plenary & Ministerial Summit Geneva, Switzerland January 2014

2 Purpose In conducting AIP-6 Water SBA, we wished to identify the “best practices”, exchange standards, and other conventions needed for national and regional water agencies to effectively federate their data services.

3 This is a story about millions of small datasets: each with a time series of a variable at a point location Water Quantity Rainfall … continuing and extending work demonstrated at the GEO IX Plenary in Brazil, 2012

4 Step 1: Search for a specific web map of stream gauges Step 2: Examine the GEOSS registry metadata for the web map Step 3: Follow the link to the web map

5 Click to add layers Water Data Maps: Global Stream Gauges Not just seeing data providers’ bounding boxes, but actual locations of specific data… (Esri ArcGIS Online web map viewer) 1.WMO GRDC (gauge descriptions only, no water data) 2.Kisters GRDC (WaterML 2 data for OGC Surface Water IE) 3.USGS NWIS (most have real-time data) 4.Mexico (some with historical data, hosted by Univ of Texas) 5.Dominican Republic (historical data hosted by BYU) 6.Italy & New Zealand (real-time data, developed for AIP-6)

6 Gauge description and data links… For quick overview For easy analysis WaterML for full details

7

8 WaterML 2.0 Document metadata Observation description -Phenomena time -Result time -Procedure -Observed property -Feature of interest -Result -Time series metadata -Time series data Time series data, cont’d

9 Recommendation 1: Use OGC WaterML 2 Federation of regional & national water data is much easier with community adoption and support for data exchange standards & practices WMO and OGC are developing international standards for hydrologic information: WaterML 2 is the preferred encoding –Part 1: Time series (OGC adopted; WMO pending) –Part 2: Ratings, gaugings and cross-sections (for determining flow volume as function of stream depth and streambed conditions; in development) –TBD: Sampled observations; Forecast-time representations

10 Recommendation 2: Use OGC WFS for feature layer of water data sites GEOSS Search Web Map Viewer WFS New Zealand gauges (HRC Hilltop host) WFS Italy gauges (ISPRA host) WFS GRDC gauges (Kisters host) One WFS service per data layer and/or producer Mapping this feature layer enables direct visualization of the data to support interaction with it.

11 Recommendation 3: Water Map Service Guidelines There needs to be a consistent way of describing water data time series, that would be followed by data producers and software developers. With this project we are defining a core set of feature attributes which characterize time series: –WaterMLURL for a REST call to a data service endpoint, that enables a time series to be queried from this location. –GraphURL and DownloadURL for graphing or downloading the data, if available. –BeginDate of the data (the time of first information, using ISO 8601 time format). –EndDate of the data (make Null if this is current time). –Descriptor – text descriptor of this feature (e.g. Site name for gaging station, COMID for NHDPlus, etc) –Source – text field that specifies the source of the data e.g. USGS, etc. If the EndDate field is empty (null), this means the data service is a near-real-time feed, not just an historical dataset. The WaterML time series data is served by OGC Sensor Observation Service (SOS). WMO/OGC Hydrology Working Group is working on unambiguous conventions for data service REST calls – keep track of this

12 Recommendation 4: Use OGC SOS 2 as the web data service for WaterML 2 Web Map Viewer SOS GRDC WaterML2 (Kisters host) WOF Italy WaterML1.1 (ISPRA host) SOS New Zealand WaterML2 (HRC Hilltop host) But be prepared for the many sites running CUAHSI WaterOneFlow (WOF) web service for WaterML 1.x data

13 Summary of web services (CSW) Catalog of Data Providers’ gauge layers (WFS) Map of gauges (one layer per observed property) for one Data Provider (SOS) Data service for time series at one gauge 3 Request map from each Data Provider about [observed property] 5 Request data service for time series of selected gauge 6 Return time series data or graph (WaterML, CSV) 2 Return list of Data Providers’ map layers 1 Request data about [observed property] 4 Return gauge locations as a map layer (GML SF) Community Web Portal Discovery, Access and Visualization

14 Recommendation 5: Data providers should manage WFS time series descriptions in a catalog registry Each data provider could install and manage a catalog registry of relevant time series descriptions (WFS feature layers) OR… Use an established community catalog for that purpose (eg, CUAHSI HydroServer) This catalog should itself be registered with GEOSS.

15 Example: Canadian Monitoring Network This data provider has registered its Kisters precipitation feeds in a GIcat registry installed by the data provider. This GIcat service’s CSW interface is registered in GEOSS. This enables distributed search for a single known monitor site via GEOSS Portal…

16 Public Web Map Viewer (registered in GEOSS) for Global Precipitation Gauges

17 Water Data Maps: Canada Precipitation Gauges

18 Water Data Maps: Canada Precipitation Data

19 Register with GEOSS to promote interdisciplinary discovery By registering the community portal and its catalog in GEOSS, interdisciplinary users can more easily discover these resources Community Web Portal Discovery, Access and Visualization (CSW) Catalog of Data Providers’ gauge layers (WFS) Map of gauges (one layer per observed property) for one Data Provider (SOS) Data service for time series at one gauge GEOSS

20 Summary of Recommendations 1.Use OGC WaterML 2 for water-variable time series data (streamflow, precipitation, runoff, etc). 2.Use OGC WFS for a feature layer of water data sites; one WFS service per data layer / producer. 3.Use consistent & minimal subset of time series description fields in the WFS data service. 4.Use OGC SOS 2 as the web data service for WaterML 2, but be prepared for the many sites running CUAHSI WaterOneFlow (WOF) web service for WaterML 1.x data, and even WFS for WaterML time series data. 5.Each data provider could install and manage a catalog registry of relevant time series descriptions (WFS feature layers), or use an established community catalog for that purpose (eg, CUAHSI HIS Central). This catalog should itself be registered in GEOSS.

21 Future Work: AIP-7 End-user focus Develop more application-oriented scenarios around flood, drought, and water quality monitoring and prediction. Technological focus Support discovery and access through GEOSS to additional water resource variables, such as stream depth, precipitation, water quality, soil moisture, evapotranspiration, total water storage. Promote international conventions for the specific data exchange requests (i.e., allowed parameters and values) between clients & data servers. Provide cloud-based data services to reduce equipment, software, and training needs for developing countries. Institutional focus Coordinate with IGWCO and WMO so this development work will become institutionalized by the appropriate international authoritative agencies. Work with developing countries to improve readiness to share national data

22 David K. Arctur University of Texas at Austin Open Geospatial Consortium (OGC) Thank you!


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