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The CUAHSI Hydrologic Information System
Consortium of Universities for the
Advancement of Hydrologic Science, Inc. (CUAHSI)
http://www.cuahsi.org
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HIS Project Team • University of Texas at Austin – David Maidment (PI), Tim
Whiteaker • San Diego Supercomputer Center – Ilya Zaslavsky, David
Valentine, Tom Whitenack • Utah State University – David Tarboton, Jeff Horsburgh • CCNY– Michael Piasecki • University of South Carolina – Jon Goodall, Tony Castronova • Idaho State University – Dan Ames, Jiri Kadlec • Tufts University—Alva Couch, Alex Bedig
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Outline
• The HIS Story
• HIS components
• Putting the pieces together
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Outline
• The HIS Story
• HIS components
• Putting the pieces together
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HIS Connects People with Data
The CUAHSI Hydrologic Information System (HIS) provides web services, tools, standards and procedures that enhance access to more and better data for analysis.
his.cuahsi.org
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What kind of data does HIS support?
• HIS is designed for in situ (e.g., sensor) data collected at a fixed point.
• Archetype: Stream flow at a gage on a river • Sensor can measure any physical, chemical, or
biological property • Relaxing assumptions
– Moving platform data can be represented (but not as efficiently as custom designed database)
– Time series can be associated with polygon or arc in WaterML 2.0
– “Simple” laboratory analyses (aquatic chemistry…)
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Rainfall Water quantity
Meteorology
Soil water
Groundwater
We Collect Lots of Water Data
Water quality
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The Data Have a Similar Structure
A point location in space A series of values in time
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Data Are Collected by Many Organizations
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USA has GIS Data Repository
…but nothing equivalent for water data
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Data Integration Fixed-point Time Series
GIS Coverages
Weather and Climate Dynamic Grids
Remote Sensing
Digital Watershed
Currently, the focus is on data from monitoring sites at point locations.
Geologic Structures
Geochemical Data
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The Result
• WaterML language for describing water data
• Global (?) catalog of water data sources
• Free software for data access
Metadata Catalog
WaterML Standards
Services
Software
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Map integrating NWIS, STORET, & Climatic Sites 100 public services
32,000+ variables 2.79 million sites 33.9 million series Referencing 18+ billion data values
Metadata Catalog, October, 2012
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HIS Usage
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
Number of Time Series Downloaded
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Outline
• The HIS Story
• HIS components
• Putting the pieces together
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Catalog (Google)
Web Server (CNN.com)
Browser (Firefox)
Access
Web Paradigm
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HIS Central
HydroServer HydroDesktop Data access
Services-Oriented Architecture for Water Data
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HIS Central
HydroServer HydroDesktop Data access
Services-Oriented Architecture for Water Data
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HydroDesktop • Free, open source solution for HIS data access • www.hydrodesktop.org
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HD-Opening Screen
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Select Area of Interest
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Select Constituents of Interest
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Examine Metadata
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Select Series for Download
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View Data
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GIS fully integrated with HIS
- Metadata catalog - Ontology keywords - WaterOneFlow/WaterML
Discovery Access
Analysis
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Built-in Analysis
• Tables • Graphs • Editing • Export
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Prototype Web-based Client
HydroModeler
https://data. cuahsi.org
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HIS System Overview
Users (HydroDesktop)
USGS
University
Data
HydroServers Data Discovery
Data Access
Data Web
Service
Metadata Catalog
HIS Central
HIS Central
Hydrologic Ontology Data
Registration
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Getting Water Data (the old way) Different Query Pages Different Query Responses
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WaterML includes location, variables, and time series
location
variable
time series
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Web Pages and Web Services http://www.safl.umn.edu/ http://his.safl.umn.edu/SAFLMC/cuahsi_1_0.asmx
Uses Hypertext Markup Language (HTML) Uses WaterML
(a Markup Language for water data)
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WaterOneFlow Web Service
• Set of query functions – Get Sites – Get Site Info – Get Variable Info – Get Values
• Returns data in WaterML
Data Source
Network
Sites
Variables
Values
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Locations
Variables
Date Ranges
WaterML and WaterOneFlow
GetSites GetSiteInfo GetVariableInfo GetValues
WaterOneFlow Web Service Client
EPA
UT USGS
Data Repositories
Data
Data Data
EXTRACT TRANSFORM LOAD
WaterML
WaterOneFlow is how you ask for data WaterML is the format of what comes back
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HIS System – HydroServer
Users
University
Data
HydroServers Data Discovery
And Access
Data Access
Data Registration
Web Service
USGS
Data
Metadata Catalog
HIS Central
HIS Central
Hydrologic Ontology
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HydroServer Goals
• A platform for publishing space-time hydrologic datasets that: – Provides local control of data – Makes data universally available – Is open source (hydroserver.codeplex.com)
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GIS Data
HydroServer
Ongoing Data Collection Point Observations Data
Historical Data Files
ODM Database
Data presentation, visualization, and analysis through Internet
enabled applications
Internet Applications
GetSites GetSiteInfo GetVariableInfo GetValues
WaterOneFlow Web Service
WaterML
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Operational HydroServers
http://icewater.usu.edu/ http://www.his.npca.ca/hydroserver/
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KISTERS AG KISTERS group 40 09/01/2013
Import/Export Framework
SOS
KISTERS Telemetry
WISKI / Hydstra
HydroServer Alternatives - KISTERS
SOS APIs
XHydro
APIs
External Client Application
HydroGET, ….
Vendor driver
OpenMI
CUAHSI internal
WMS/WFS
Files DB http
(s)ftp DB DB
CUAHSI
CUAHSI
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Why Publish Data with HIS
Recognition Public service Collaboration Cost savings
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HIS System – HIS Central
Users
University
Data
HydroServers Data Discovery
And Access
Data Access
Data Registration
Web Service
USGS
Data
Metadata Catalog
HIS Central
HIS Central
Hydrologic Ontology
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• Publishers – Register a data service
• Users – Find a data service
• Supported by – Metadata Catalog – Hydrologic Ontology
HIS Central
http://hiscentral.cuahsi.org
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Metadata Catalog
Stores description of time series, e.g., The USGS measures streamflow at Waller Creek
& Koenig with data from 7/31/1968 to the present…
…and you can get the data from here. Registered services harvested weekly
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Map integrating NWIS, STORET, & Climatic Sites 100 public services
32,000+ variables 2.79 million sites 33.9 million series Referencing 18+ billion data values
Metadata Catalog, October, 2012
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Ontology: Conceptual Framework
• Chemical descriptions from EPA/USGS Substance Registry System
• Physical descriptions from CF Conventions – NetCDF Climate & Forecast; 137 variables
• Biological descriptions from Integrated Taxonomic Information System
http://cf-pcmdi.llnl.gov/
http://www.epa.gov/srs/
http://www.itis.gov/
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Hydrosphere
Biological
Chlorophyll Chlorophyll A
Pheophytin
Indicator
Organisms
E. Coli
Fecal Coliform
Chemical
Dissolved
Oxygen
DO Concentration
DO Saturation
Suspended
Solids
Fixed Suspended
Solids
Total Suspended
Solids
Physical
Discharge Groundwater Flow
Stream Discharge
Temperature Air Temperature
Water
Temperature
Thematic Concepts Core Concept Property Branch Leaf
Variables
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HydroTagger
Each Variable in your data is connected to a corresponding Concept
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HIS Central Web Service • Programmatic methods
to query the national metadata catalog
• Search by: – Location – Variable (concept) – Date Range – Data source
(WaterOneFlow service)
http://hiscentral.cuahsi.org/webservices/hiscentral.asmx
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Services-Oriented Architecture for Water Data
WaterML
HIS Central
HydroServer HydroDesktop Data access
Data Publisher
Catalog
User
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The Road Ahead – WaterML 2.0
• CUAHSI Water Data Center – Recommended for funding at NSF – $800K/yr for 3 yr start-up
• Broader collaboration – Hydrology Domain Working Group
• World Meteorological Organization • Open Geospatial Consortium (OGC)
• Towards an international standard – OGC standard adopted, July, 2012 – WMO initiate process to accept as standard Nov.,
2012
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Data Integration Fixed-point Time Series
GIS Coverages
Weather and Climate Dynamic Grids
Remote Sensing
Digital Watershed
Currently, the focus is on data from monitoring sites at point locations.
Geologic Structures
Geochemical Data
![Page 54: The CUAHSI Hydrologic Information System · 2013-01-09 · Client Web Service . EPA . UT . USGS . Data . Repositories . Data . Data. Data TRANSFORM . EXTRACT LOAD . WaterML . WaterOneFlow](https://reader034.vdocuments.mx/reader034/viewer/2022042304/5ed00e8ad8ce7e3a855da34c/html5/thumbnails/54.jpg)
Multiple Services, Multiple Clients within a Standards-Oriented Environment
CUAHSI HIS
IEDA Earthchem
UNIDATA THREDDS
IRIS DMC
LTER PASTA IDM
Structural and Semantic mediation within community and data type
Ecology
Standards-based interface to serve multiple clients
Geology Hydrology Geomorphology
Scientists Students Citizens
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