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Crossing the Digital Divide Presented by: Fernando R. Salas David Maidment, Enrico Boldrini, Stefano Nativi, Ben Domenico OGC Technical Meeting – Met/Occean.

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Presentation on theme: "Crossing the Digital Divide Presented by: Fernando R. Salas David Maidment, Enrico Boldrini, Stefano Nativi, Ben Domenico OGC Technical Meeting – Met/Occean."— Presentation transcript:

1 Crossing the Digital Divide Presented by: Fernando R. Salas David Maidment, Enrico Boldrini, Stefano Nativi, Ben Domenico OGC Technical Meeting – Met/Occean DWG Austin, Texas March 19, 2012 CUAHSI

2 Introduction and Motivation Source: Iowa State University Department of Natural Resource Ecology and Management

3

4

5 Linking Observations and GIS Watershed Analysis Observations River Mapping

6 Searching for Climate Data

7 What is the Digital Divide? Observations and Time Series Geographic Information Systems (GIS) Climate Observations and Grids Remote Sensing

8 Interoperability Challenges Observations Data Measures variables over a discrete space-time domain Stored in tables, relational databases and geodatabases Gridded Data Measures variables over a continuous space-time domain Stored in large multi- dimensional arrays in specialized formats How can we connect these very different worlds together?

9 …The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is a consortium of 125 universities working together to advance the state of hydrologic science in the United States… http://his.cuahsi.org

10 How the Web Works HTML – web language for text and pictures CatalogBrowserWeb Server Harvesting Search Access

11 How We Share Observations Data CatalogUserServer Harvesting Search Access HIS Central HydroDesktop HydroServers Web Services WaterML Language

12 CUAHSI Water Data Services Catalog 69 public services 18,000 variables 1.9 million sites 23 million series 5.1 billion data values And growing All the data comes out in WaterML The largest water data catalog in the world

13 Observations Data Information Model Data Source United States Geological Survey (USGS) Network National Water Information System – Unit Values Sites Colorado River at Austin Variables Streamflow Values 2,500 cfs at 8:30 am on June 19 th, 2011

14 Gridded Data Information Model Data Source National Climatic Data Center (NCDC) Dataset North American Regional Reanalysis (NARR) Grid Size 32 kilometer Variables Temperature Values 78 deg. Fahrenheit at 8:00 am on June 15 th, 2000 Time 1 NARR

15 Data Cube Space {x,y} Time {t} Variable {v i } Space {x,y,z} Time {t} Variable {v i }

16 THREDDS Data Servers WCS WMS NetCDF OpenDAP HTTP

17 Distributed File Sharing Systems Source: http://www.esrl.noaa.gov/thredds/catalog/Datasets/NARR/catalog.html Enables users to access large quantities of gridded data using standardized data services

18 WFS Building a Series Catalog for Observations Data Datacart – a collection of data series organized thematically Observations Metadata Catalog -Source -Site Name -Location (Lat/Long) -Variable Name -Variable Units -Concept -Start Date -End Date -WaterML URI

19 WFS Building a Series Catalog for Gridded Data Datacart – a collection of data series organized thematically Coverage Metadata Catalog -Source -Coverage Name -Location (Lat/Long Box) -Variable Name -Variable Units -Concept -Start Date -End Date -WCS URI

20 Building a Catalog of Services WFS CSW Time SeriesRaster Series THREDDS Servers HydroServers WaterML NetCDF

21 Services Stack Framework Catalog Services for the Web (CSW) enable metadata services describing observations data to be registered in a catalog of services. Web Feature Services (WFS) enable data services to be completely described by metadata in a series catalog. Sensor Observation Services (SOS) and Web Coverage Services (WCS) enable observations and climate data to be conveyed through the internet in a standardized manner. Catalog Metadata Data Services CSW WFS SOS Catalog Metadata Data Services CSW WFS WCS

22 Services Stack Framework for Observations Data Catalog Services for the Web (CSW) enable metadata services describing observations data to be registered in a catalog of services. Web Feature Services (WFS) enable observations data services to be completely described by metadata in a series catalog. Sensor Observation Services (SOS) enable observations data to conveyed through the internet in a standardized manner. Catalog Metadata Data Services CSW WFS SOS

23 Services Stack Framework for Gridded Data Catalog Metadata Data Services CSW WFS WCS Catalog Services for the Web (CSW) enable metadata services describing gridded data to be registered in a catalog of services. Web Feature Services (WFS) enable gridded data services to be completely described by metadata in a series catalog. Web Coverage Services (WCS) enable gridded data to conveyed through the internet in a standardized manner.

24 One Common Ontology Precipitation Streamflow TurbiditySnow Cloud Cover Precip Rainfall Rain Total Precip Precip Rainfall Rain Total Precip

25 HydroPortal – A Catalog Service …enables data discovery across multiple data sources and types… Geoportal Extension of ArcGIS implements Catalog Services for the Web (CSW)

26 GI-cat Service Broker GI-cat broker catalog mediation/adaptation solution Standard based solution – Support to several international and community standards, including THREDDS, WCS, WFS, CSW. – Support to several standard discovery interfaces, including CSW 2.0.2 AP ISO, OpenSearch Successful harvesting of more than 400,000 resources Courtesy of Enrico Boldrini from the Earth and Space Science Informatics Lab

27 A SOA Broker/Mediator component Service Provider Service Provider Server Service Registry Service Registry Publish  Find  Bind Protocol sharing Bind  Service Broker Service Broker Mediator Order Harvest Service Consumer Service Consumer Client Courtesy of Enrico Boldrini from the Earth and Space Science Informatics Lab

28 Service Providers Service Providers Server Discovery capability Inventory capability Access capability CSW ISO CSW ebRIM CSW/ebRIM-EO GBIF THREDDS/OPeNDAP WCS WMS WCS WMS CDI Processing capability OpenSearch CSW-Core GI-cat Broker/Mediation component Service Consumer Service Consumer Client Mediator GI-cat Service Broker / MediatorGI-cat Functions: - Mediation - Distribution - Messaging - Persistence - Access -..... Functions: - Mediation - Distribution - Messaging - Persistence - Access -..... CSW-ISO CSW-EBRIM CIM/EO INSPIRE portal INSPIRE portal ESA-HMA portal Registry Harvest GEO portal WFS OpenSearch WPS OpenModeller GeoNetwork CSW client Web browser ArcGIS Explorer CSW client ArcGIS Explorer CSW client Courtesy of Enrico Boldrini from the Earth and Space Science Informatics Lab

29 Catalog Services Interoperable Data Discovery System CSW HydroServers THREDDS Servers HydroCatalog Data Services CSW

30 Integrated Search

31 Interoperability Challenges Revisited

32 Hydrometeorologic Information System HydroCatalogHydroDesktop THREDDS/Hydro Server WCS SOS WFS CSW

33 Conclusions No one system can cross the digital divide Data access through standard web services can mask the variations in data structure between relational databases and data file systems Aggregation services are key to bridging the gap between hydrologic and atmospheric sciences We need semantic mediation to facilitate the discovery of data

34 Questions?

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