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Bringing Water Data Together

This article discusses the advancements in water data collection and integration through the Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI) and the development of the Texas Hydrologic Information System (HIS). It explores the benefits and implications of bringing water data together for Texas.

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Bringing Water Data Together

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  1. Bringing Water Data Together David R. Maidment Center for Research in Water Resources University of Texas at Austin Texas Water Summit San Antonio Tx, Dec 1, 2007

  2. Bringing Water Data Together • What has happened • What is emerging • What does it mean for Texas

  3. Bringing Water Data Together • What has happened • What is emerging • What does it mean for Texas

  4. National Science Foundation • In recent years, the National Science Foundation has significantly increased its funding of water science • Formation and support of CUAHSI to link universities doing water science • Design of WATERS network for field observation of water phenomena by academics

  5. What is CUAHSI? UCAR • CUAHSI –Consortium of Universities for the Advancement of Hydrologic Science, Inc • Formed in 2001 as a legal entity • Program office in Washington (5 staff) • NSF supports CUAHSI to develop infrastructure and services to advance hydrologic science in US universities Unidata Atmospheric Sciences Earth Sciences Ocean Sciences CUAHSI National Science Foundation Geosciences Directorate HIS

  6. CUAHSI Member Institutions 115 US Universities as of November 2007

  7. Waters Network Testbed Sites

  8. CUAHSI Hydrologic Information System (HIS) HIS WATERS Testbed NSF has funded work at 11 testbed sites, each with its own science agenda. HIS supplies the common information system

  9. CUAHSI Observations Data Model http://www.cuahsi.org/his/odm.html

  10. Point Observations Information Model http://www.cuahsi.org/his/webservices.html Utah State Univ Data Source GetSites Little Bear River Network GetSiteInfo GetVariables Little Bear River at Mendon Rd Sites GetVariableInfo Dissolved Oxygen Variables GetValues 9.78 mg/L, 1 October 2007, 6PM Values {Value, Time, Qualifier, Offset}

  11. Point Observations Information Modelfor USGS Daily Values USGS Data Source GetSites Streamflow gages Network GetSiteInfo Neuse River near Clayton, NC Sites GetVariables GetVariableInfo Discharge, stage (Daily or instantaneous) Variables GetValues Values 206 cfs, 13 August 2006 {Value, Time, Qualifier}

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

  13. Observations Catalog Specifies what variables are measured at each site, over what time interval, and how many observations of each variable are available

  14. WATERS Network Information System Currently provides access to water data from 1246 sites in 16 observation networks National Hydrologic Information Server San Diego Supercomputer Center Observations catalogs WATERS testbed server

  15. GetSites GetSiteInfo GetVariables GetVariableInfo GetValues Hydrologic Information Server WaterOneFlow services DASH – data access system for hydrology ArcGISServer Geospatial Data Observations Data Microsoft SQLServer Relational Database

  16. Bringing Water Data Together • What has happened • What is emerging • What does it mean for Texas

  17. Web pages Web services We are at a tipping point …. Internet Internet Computer Person Computer Computer People interact with a remote information server Networks of information servers provide services to one another

  18. Water Data Water quantity and quality Soil water Rainfall & Snow Modeling Meteorology Remote sensing

  19. Water web pages Water web services Information communication Water Markup Language (WaterML) HyperText Markup Language (HTML)

  20. Locations Variables Time WaterML and WaterOneFlow TCEQ Data GetSiteInfo GetVariableInfo GetValues UT Data WaterML Data USGS WaterOneFlow Web Service Data Repositories Client EXTRACT TRANSFORM LOAD WaterML is an XML language for communicating water data WaterOneFlow is a set of web services based on WaterML

  21. Set of query functions Return data in WaterML WaterOneFlow

  22. request return return request NAWQA request return return request NAM-12 request return NWIS request return request return return request NARR Objective • Search multiple heterogeneous data sources simultaneously regardless of semantic or structural differences between them What we used to do ….. Michael Piasecki Drexel University

  23. NAWQA NWIS NARR HODM Semantic Mediator What we are doing now ….. GetValues GetValues GetValues GetValues generic request GetValues GetValues Michael Piasecki Drexel University GetValues GetValues

  24. Hydroseekhttp://www.hydroseek.org Supports search by location and type of data across multiple observation networks including NWIS, Storet, and university data

  25. Definition The CUAHSI Hydrologic Information System (HIS) is a geographically distributed network of data sources and functions that are integrated using web services so that they operate as a connected whole.

  26. Bringing Water Data Together • What has happened • What is emerging • What does it mean for Texas

  27. Prototype Texas HIS • TWDB is supporting a small project at UT to start building a prototype Texas Hydrologic Information System HIS servers at data sources (State agencies, River authorities, Water Districts, Cities, Counties….) Web Services Texas Hydrologic Information Server (at TNRIS) Texas Observations Catalogs and some state water datasets

  28. Levels of Government National data services (USGS, EPA, NCDC, NWS...) Web State data services (TCEQ, TWDB, TCEQ, ….) Services Regional data services (LCRA, BRA, City of Austin, ...)

  29. Web page translators (many organizations) Custom-built web services into an existing data archive (USGS) Put data into a CUAHSI HIS Server (TWDB, TAMU-CC, TNRIS) Install an HISdata appliance connected to an existing data archive Connecting Modes CUAHSI Translator WaterML Daily Values WaterML Hydrologic Information System WaterML Existing Archive HIS Appliance WaterML

  30. Applications • Rapid, low-cost data integration (flow-water quality-biology) enhances water science • Better water data access for citizens • Real-time emergency management water information network • Environmental flows information system to support Senate Bill 3

  31. Issues • What is “official” data? • Data source must assure quality • Data is published through web services • Data is indexed through HydroSeek • Need an “information sharing agreement” between data source and publishing organization • CUAHSI HIS is open source and available free of charge (NSF requirement)

  32. Conclusions • A new web services technology has emerged that can provide access and synthesis of water observations data • At many geographic locations • From many organizations (federal, state, local government, academia) • In a common format • With a common data description For more information, see http://www.cuahsi.org/his.html

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