1. Some notes on CyberGIS in hydrology Ilya Zaslavsky Spatial Information Systems Lab San Diego Supercomputer Center UCSD TeraGrid CyberGIS Workshop, February 2-3, 2010

2. CUAHSI HIS: NSF support through 2012 (GEO) Partners: Academic: 11 NSF hydrologic observatories, CEO:P projects, LTER, CZO… Government: USGS, EPA, NCDC, NWS, state and local Commercial: Microsoft, ESRI, Kisters International: Australia, UK Standardization: OGC, WMO (Hydrology Domain WG); adopted by USGS, NCDC, Army Corps of Eng 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? UT-Austin, SDSC/UCSD, Utah State U, Idaho State U, Drexel U, U of So. Carolina PI: D. R. Maidment (UT-Austin)

3. Test bed HIS Servers Central HIS servers ArcGIS Matlab IDL, R MapWindow Excel Programming (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 HIS Desktop

4. CUAHSI Water Data Services 4 Map Integrating NWIS, STORET, & Climatic Sites 47 services 15,000 variables 1.8 million sites 9 million series 4.3 billion data values The largest water data catalog in the world

5. International Standardization of WaterML 5 OGC/WMO Hydrology Domain Working Group http://external.opengis.org/twiki_public/bin/view/HydrologyDWG/WebHome Towards an agreed upon- feature model - observations model - semantics Expressed as WaterML 2.0 By organizing- Interoperability Experiments and pilots, standard design activities, webinars… First OGC/WMO HydroDWG workshop : at Ispra, Italy, March 15-18, 2010

6. Why CyberGIS Some critical CI issues we encountered – Efficient management of large volumes of distributed spatio-temporal data – Understanding and unifying data models across sub-domains of water – Development of data exchange standards – Community ontology management and curation When one writes a CyberGIScience proposal for hydrology… – Intellectual merit: reconciling different notions of space and time in a field that describes water dynamics – Broad impact: spatial data integration at a scale where critical mass is achieved fast, which makes it beneficial to broader multidisciplinary group of stakeholders, and thus sustainable – Transformative: large distributed data interfaced with models, and coupled with provenance management  resulting in a different rate and quality of simulations, larger models, and better decision-making