1. Hydrologic Information System for the Nation Ilya Zaslavsky Spatial Information Systems Lab San Diego Supercomputer Center UCSD BOM talk, Melbourne, March 19, 2009 http://his.cuahsi.org http://hiscentral.cuahsi.org http://hydroseek.net http://river.sdsc.edu/ucsddash http://wron.net.au/DemosII/Modules/ODMKMLGatway.aspx http://maxim.ucsd.edu/mattsmaps/storet.aspx

2. SDSC Spatial Information Systems Lab Research and system development Services-based spatial information integration infrastructure, CI projects Mediation services for spatial data, query processing, map assembly services Long-term spatial data preservation Spatial data standards and technologies for online GIS (SVG, WMS/WFS) Support of spatial data projects at SDSC and beyond services In Geosciences (GEON, CUAHSI, CBEO,…) In regional development (NIEHS SBRP, CRN…) In Neurosciences (BIRN, CCDB, WBC) http://spatial.sdsc.edu/lab/ Contact: zaslavsk@sdsc.edu

3. Web Services for Generating SVG Tiny Maps on Mobile Phones J2ME device Java + Batik Viewers: TinyLine Squiggle Adobe’s ASV Services for generating object textures for Torque.Net + C# Spatial data servers

4. Background Coordinate System Veins Arteries Optic nerve Fovea Cotton-Wool Hemorrhages Foveal Coordinate System

5. CUAHSI HIS: NSF support through 2012 (GEO), ~10 mil invested Partners: Academic: 11 NSF hydrologic observatories, CEO:P projects, LTER… Government: USGS, EPA, NCDC, NWS, state and local Commercial: Microsoft, ESRI, Kisters International: Australia, UK Standardization: OGC, WMO (Hydrology Domain WG, CHy); adopted by USGS, NCDC An online distributed system to support the sharing of hydrologic data from multiple repositories and databases via standard water data service protocols; software for data publication, discovery, access and integration. What is the CUAHSI HIS?

6. Observation Stations Ameriflux Towers (NASA & DOE)NOAA Automated Surface Observing System USGS National Water Information SystemNOAA Climate Reference Network Map for the US Build a common window on water data using web services

7. Water Data Web Sites

8. NWISWeb site output # agency_cd Agency Code # site_no USGS station number # dv_dt date of daily mean streamflow # dv_va daily mean streamflow value, in cubic-feet per-second # dv_cd daily mean streamflow value qualification code # # Sites in this file include: # USGS 02087500 NEUSE RIVER NEAR CLAYTON, NC # agency_cdsite_nodv_dtdv_vadv_cd USGS020875002003-09-011190 USGS020875002003-09-02649 USGS020875002003-09-03525 USGS020875002003-09-04486 USGS020875002003-09-05733 USGS020875002003-09-06585 USGS020875002003-09-07485 USGS020875002003-09-08463 USGS020875002003-09-09673 USGS020875002003-09-10517 USGS020875002003-09-11454 Time series of streamflow at a gaging station

9. Water Data Services Set of query functions Returns data in WaterML NWIS Daily Values (discharge), NWIS Ground Water, NWIS Unit Values (real time), NWIS Instantaneous Irregular Data, EPA STORET, NCDC ASOS, DAYMET, MODIS, NAM12K, USGS SNOTEL, ODM (multiple sites)

10. Test bed HIS Servers Central HIS servers ArcGIS Matlab IDL, R MapWindow Excel Programming (Fortran, C, VB) Desktop clients Customizable web interface (DASH) HTML - XML WSDL - SOAP Modeling (OpenMI) Global search (Hydroseek) Water Data Web Services, WaterML Controlled vocabularies Metadata catalogs Ontology ETL services HIS Lite Servers External data providers Deployment to test beds Other popular online clients ODM DataLoader Streaming Data Loading Ontology tagging (Hydrotagger) WSDL and ODM registration Data publishing ODMTools Server config tools HIS Central Registry & Harvester Hydrologic Information System Service Oriented Architecture

11. Central HIS Data Services Catalog

13. Semantic Tagging of Harvested Variables

14. Hydroseek http://www.hydroseek.net Supports search by location and type of data across multiple observation networks including NWIS, Storet, and academic data

15. Online mapping over hydrologic observation OLAP cubes

16. Summary Cyberinfrastructure for managing and publishing observational data –Supports many types of point observational data –Overcomes syntactic and semantic heterogeneity using a standard data model and controlled vocabularies –Supports a national network of observatory test beds but can grow! WaterML is a standard language for consistently communicating water observations data from academic and government sources using web services – develops towards OGC standards; already adopted by several federal agencies National Water Metadata Catalog is the most comprehensive index of the nation’s water observations presently existing (1.75 million stations – the largest in the world) The system is already deployed in the US and internationally

17. Business Models ► A software product. Hardly… ► A data product:  What is the market for it; how expensive is it to maintain, what is the model (subscription?) ► A specialized search engine, with ad revenue? ► A service  Setting up HIS servers; preparing data; developing integration solutions, consulting, etc. ► A cyberinfrastructure product??

18. What is a cyberinfrastructure product? ► CI: mixed ownership and licensing models, hodgepodge of technologies, autonomously managed, assembled on demand for more or less common scenarios ► There should be governance and mediation to make CI work. Potential CI vantage points:  Controlling standards development and adoption; object identifiers, ontologies and controlled vocabularies  Being the “first compliant software”  Automatic endorsement by federal and other agencies, international market?  Controlling access to CI tools ► The value of CI grows as it grows, and more users and data contributors join in