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Development of a Community Hydrologic Information System David G Tarboton Jeffery S Horsburgh, David R. Maidment (PI), Tim Whiteaker, Ilya Zaslavsky, Michael.

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Presentation on theme: "Development of a Community Hydrologic Information System David G Tarboton Jeffery S Horsburgh, David R. Maidment (PI), Tim Whiteaker, Ilya Zaslavsky, Michael."— Presentation transcript:

1 Development of a Community Hydrologic Information System David G Tarboton Jeffery S Horsburgh, David R. Maidment (PI), Tim Whiteaker, Ilya Zaslavsky, Michael Piasecki, Jon Goodall, David Valentine, Thomas Whitenack dtarb@usu.edu dtarb@usu.edu Support EAR 0622374 CUAHSI HIS Sharing hydrologic data http://his.cuahsi.org/

2 Outline CUAHSI and HIS data publication system WaterML and WaterOneFlow web services Observations data model (ODM) Data publication system Analysis using HIS Implementation Performance

3 Consortium of Universities for the Advancement of Hydrologic Science, Inc. An organization representing more than one hundred United States universities, receives support from the National Science Foundation to develop infrastructure and services for the advancement of hydrologic science and education in the U.S. http://www.cuahsi.org/ 110 US University members 6 affiliate members 12 International affiliate members (as of March 2009)

4 What is the CUAHSI HIS? An internet based system to support the sharing of hydrologic data comprising databases connected using the internet through web services as well as software for data discovery, access and publication. Web services and Schema WaterOneFlow and WaterML to transmit hydrologic data in a standard way GetSites GetSiteInfo GetVariableInfo GetValues Discovery Hydroseek Analysis MATLAB, Excel, GIS, R, … Modeling HydroLink + OpenMI Access HIS Desktop Observatories publication and archival of field data store and share hydrologic data HIS Server ODM Data repository Service Registry catalog hydrologic data services and metadata HIS Central 3 rd -Party Servers include data from others

5 Set of query functionsReturns 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) Slide from David Valentine WaterML and WaterOneFlow WaterML is an XML language for communicating water data WaterOneFlow is a set of web services based on WaterML

6 WaterML design principles Goal - capture semantics of hydrologic observations discovery and retrieval Role - exchange schema for CUAHSI web services Driven by –Hydrologists (community review) –ODM –USGS NWIS, EPA STORET, Academic Sources Conformance with Open Geospatial Consortium standards. http://www.opengeospatial.org/ http://www.opengeospatial.org/ For XSD pros, the WaterML schema is at http://his.cuahsi.org/wofws.html http://his.cuahsi.org/wofws.html Slide from David Valentine

7 - Sites - Variables - Values Building Blocks of WaterML Responses Response TypesKey Elements –site –sourceInfo –seriesCatalog –variable –value –queryInfo GetValues GetVariableInfo GetSiteInfo GetSites Slide from David Valentine

8 Values Each data value recorded in value element Timestamp, plus metadata for the value, recorded in element’s attributes ISO Timevalue qualifier Slide from David Valentine

9 What are the basic attributes to be associated with each single data value and how can these best be organized? Value DateTime Variable Location Units Interval (support) Accuracy Offset OffsetType/ Reference Point Source/Organization Censoring Data Qualifying Comments Method Quality Control Level Sample Medium Value Type Data Type

10 CUAHSI Observations Data Model Streamflow Flux tower data Precipitation & Climate Groundwater levels Water Quality Soil moisture data A relational database at the single observation level (atomic model) Stores observation data made at points Metadata for unambiguous interpretation Traceable heritage from raw measurements to usable information Standard format for data sharing Cross dimension retrieval and analysis Space, S Time, T Variables, V s t ViVi v i (s,t) “Where” “What” “When” A data value

11 Horsburgh, J. S., D. G. Tarboton, D. R. Maidment and I. Zaslavsky, (2008), A Relational Model for Environmental and Water Resources Data, Water Resour. Res., 44: W05406, doi:10.1029/2007WR006392. CUAHSI Observations Data Model http://his.cuahsi.org/odmdatabases.htmlhttp://his.cuahsi.org/odmdatabases.html

12 Water Chemistry from Laboratory Sample

13 Stage and Streamflow Example

14 Base Station Computer(s) Telemetry Network Sensors Query, Visualize, and Edit data using ODM Tools Excel Text ODM Database ODM Data Loader Streaming Data Loader GetSites GetSiteInfo GetVariableInfo GetValues WaterOneFlow Web Service WaterML Discovery Hydroseek Access Analysis GIS Matlab Splus R IDL Java C++ VB Water Metadata Catalog Harvester Service RegistryHydrotagger HIS Central HydroExcel HydroGet HydroLink HydroObjects ODM Contribute your ODM CUAHSI HIS Data Publication System http://his.cuahsi.org

15 Dynamic controlled vocabulary moderation system Local ODM Database Master ODM Controlled Vocabulary ODM Website ODM Controlled Vocabulary Moderator ODM Data Manager ODM Controlled Vocabulary Web Services ODM Tools Local Server XML http://his.cuahsi.org/mastercvreg.html From Jeff Horsburgh

16 Direct analysis from your favorite analysis environment. e.g. Excel, MATLAB

17 Direct analysis from your favorite analysis environment. e.g. Matlab % create NWIS Class and an instance of the class createClassFromWsdl('http://river.sdsc.edu/wateroneflow /NWIS/DailyValues.asmx?WSDL'); WS = NWISDailyValues; % GetValues to get the data siteid='NWIS:02087500'; bdate='2002-09-30T00:00:00'; edate='2006-10-16T00:00:00'; variable='NWIS:00060'; valuesxml=GetValues(WS,siteid,variable,bdate,edate,'');

18 Federal water data available through HIS Central (http://river.sdsc.edu)http://river.sdsc.edu Operational –USGS Daily Values Instantaneous Values Irregular Data Groundwater –EPA Storet –MODIS –NCEP North American Model –DayMet Development –NCDC –SNOTEL

19 11 WATERS Network test bed projects 16 ODM instances (some test beds have more than one ODM instance) Data from 1246 sites, of these, 167 sites are operated by WATERS investigators National Hydrologic Information Server San Diego Supercomputer Center HIS Implementation in WATERS Network Information System

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

21 Intermountain Constellation of Experimental WATERsheds (ICEWATER) The Inland Northwest Research Alliance (INRA) Water Research Consortium is establishing a HIS Network to share experimental watershed data to address regional water resources challenges

22 Great Salt Lake Information System A common window for accessing, viewing and downloading data and information in the Great Salt Lake Basin State AgenciesLocal OrganizationsFederal agenciesUniversities

23 Web Services - Performance

24 Conclusions Data Storage in an Observations Data Model (ODM) Data Access through internet-based Water Data Services using a consistent data language, called WaterML Data Indexing through a National Water Metadata Catalog Data Discovery through federated map and thematic keyword search system The combination of these capabilities creates a common window on water observations data for the United States unlike any that has existed before.

25 HIS Team and Collaborators University of Texas at Austin – David Maidment, Tim Whiteaker, Ernest To, Bryan Enslein, Kate Marney San Diego Supercomputer Center – Ilya Zaslavsky, David Valentine, Tom Whitenack Utah State University – David Tarboton, Jeff Horsburgh, Kim Schreuders, Justin Berger Drexel University – Michael Piasecki, Yoori Choi University of South Carolina – Jon Goodall, Tony Castronova Idaho State University – Dan Ames CUAHSI Program Office – Rick Hooper, David Kirschtel, Conrad Matiuk WATERS Network – Testbed Data Managers HIS Standing Committee USGS – Bob Hirsch, David Briar, Scott McFarlane NCDC – Rich Baldwin

26 HIS Overview Report Summarizes the conceptual framework, methodology, and application tools for HIS version 1.1 Shows how to develop and publish a CUAHSI Water Data Service Available at: http://his.cuahsi.org/documents/HISOverview.pdf


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