Texas Water Data Services
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1 Texas Water Data Services David R. Maidment Center for Research in Water Resources University of Texas at Austin SSpeed Conference Houston Tx, Oct 30, 2008
2 Communicating Water Data During Flood Emergencies National Weather Service uses SHEF (Standard Hydrologic Exchange Format) Developed in early 1980 s and not adapted for internet NWS had a HydroXC project to update SHEF but it has ended they want to use WaterML WaterML could be a public format for exchange of water time series data during floods
3 Water quantity and quality Water Data Soil water Rainfall Groundwater Meteorology Modeling
4 GIS and Water Resources GIS Water Resources Data: Static in time Complex in space Standardized formats Data: Dynamic in time Simple in space (points) No standardized formats
5 HTML as a Web Language HyperText Markup Language Text and Pictures in Web Browser <title>texas Water Development Board</title> <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> <html> <head> <meta name = "Robots" content = "index,follow"> <meta name = "Priority" content = "home,twdb,homepage"> <meta name = "Author" content = "Texas Water Development Board, Agency Number 580"> <meta name = "Title" content = "Texas Water Development Board"> <meta name = "Description" content = "Texas Water Development Board Home Page"> <meta name = "Keywords" content = "water,drought,rain,conservation,groundwater,surfacewater,lake,reservoir,hyd rology,geology,desalination,twdb,loans,grants,wastewater,sewage,clean Water,Drinking Water,State Revolving Fund,planning,State Water Plan,GIS,Geographic Information Systems,Mapping,data">
6 WaterML as a Web Language Streamflow data in WaterML language Discharge of the San Marcos River at Luling, June 28 - July 18, 2002
7 What is CUAHSI? 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 CUAHSI HIS Earth Sciences UCAR Atmospheric Sciences Unidata Ocean Sciences National Science Foundation Geosciences Directorate
8 CUAHSI Member Institutions 122 Universities as of October 2008
9 Get Data WaterML HIS Central Get Metadata National Water Metadata Catalog
10 Synthesis and communication of the nation s water data Government Water Data Academic Water Data National Water Metadata Catalog Hydroseek WaterML
11 Observations Data Model 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: /2007wr
12 Point Observations Information Model for USGS Daily Values USGS Data Source Streamflow gages Network GetSites GetSiteInfo San Marcos River at Luling, TX (Site: ) Discharge, stage (Daily or instantaneous) Sites Variables Values GetVariables GetVariableInfo GetValues cfs, 6 July 2002, A {Value, Time, Qualifier}
13 WaterML and WaterOneFlow Locations Variable Codes Date Ranges GetSiteInfo GetVariableInfo GetValues WaterML Data TWDB Texas DATAA&M NWIS Data Client LOAD WaterOneFlow Web Service TRANSFORM Data Repositories EXTRACT WaterML is an XML language for communicating water data WaterOneFlow is a set of web services based on WaterML
14 WaterOneFlow Set of query functions Returns data in WaterML
15 Making a Query in WaterML Query Site Variable Response
16 Defining a Site in WaterML Query Site Variable Response
17 Describing a Variable in WaterML Query Site Variable Response
18 Time Series Response in WaterML Query Site Variable Response
19 HydroExcel
20 We are at a tipping point. Web pages Web services Internet Internet Computer Person Computer Computer People interact with a remote information server Networks of information servers provide services to one another
21 Information communication Water web pages Water web services Water Markup Language (WaterML) HyperText Markup Language (HTML)
22 Prototype Texas HIS TWDB is supporting a 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
23 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,...)
24 Texas Hydrologic Information System Sponsored by the Texas Water Development Board and TNRIS using CUAHSI technology for state and local data sources (using state funding)
25 Publishing an ODM Water Data Service Texas Parks and Wildlife Dept Texas Water Development Board Texas Instream Flow Program Ingest Data From Different Sources Transform Data into Uniform Format with SSIS Scripts WaterML Observations Data Model (ODM) TPWD ODM TWDB ODM Load Newly Formatted Data into ODM Tables in MS SQL/Server TIFP ODM Wrap ODM with WaterML Web Services for Online Publication
26 Publishing a Hybrid Water Data Service WaterML TCOON Metadata are Transferred from XML to the ODM TCOON METADATA ODM Metadata From: ODM Database in Austin GetSites GetSiteInfo GetVariableInfo TCOON Water Data Service TCOON DataValues Get Values from: TCOON Web Site in Corpus Christi Web Services can both Query the ODM for Metadata and use a Web Scraper for Data Values Calling the WSDL Returns Metadata and Data Values as if from the same Database
27
28 HydroGet
29 Connecting Modes 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 HIS-Lite Service connected to an existing data archive Hydrologic Information System Existing Archive CUAHSI Translator Daily Values HIS Lite WaterML WaterML WaterML WaterML
30 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
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