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Transcript
The CUAHSI Observations
Data Model
Jeff Horsburgh
7-9-2007
David Maidment, David Tarboton, Ilya Zaslavsky, Michael
Piasecki, Jon Goodall, David Valentine, Tom Whitenack, Tim
Whiteaker, Bora Beran, Ernest To
http://www.cuahsi.org/his.html
Primary Use Cases
• Relational data model underlying the
CUAHSI Hydrologic Information System
– Observation catalogs for national datasets
(USGS NWIS, EPA STORET) and web
services
– Standardization of investigator data
management in environmental observatories
What is an Observation?
• An observation is an event that results in a value
describing some phenomenon (OGC
Observations and Measurements, 2006)
• ODM focuses on observations made at a point
• Types: grab samples for laboratory analysis,
physical measurements from field instruments,
streaming data from in-situ sensors
• Not covered – observation fields (e.g., grids,
images, etc.)
ODM Overview
Streamflow
• A relational database at the
single observation level
(atomic model)
Precipitation
• Stores observation data made & Climate
ODM
at points
• Metadata for unambiguous
interpretation
• Traceable heritage from raw
measurements to usable
Water Quality
information
• Standard format for data
sharing
• Cross dimension retrieval and
analysis
Groundwater
levels
Soil
moisture
data
Flux tower
data
Associated Tools
• Data Loaders
– ODM Data Loader
– Streaming Data Loader
• ODM Tools
– Query and export – export
data series and metadata
– Visualize – plot and
summarize data series
– Edit – delete, modify, adjust,
interpolate, average, etc.
• Controlled Vocabularies
– Online moderated system
Associated Tools
• ODM Web Services
– WaterML
• Data Access
System for
Hydrology (DASH)
– A common data
window for accessing,
viewing and
downloading
hydrologic information
• HydroSeek
– Ontology based
search engine
Model Extensibility
• The ODM schema is generic, but the
controlled vocabularies are not
– Variable names, data types, units, etc.
• ODM controlled vocabularies are editable
via a moderated system online
• Working on ODM API to shield
applications from changes to the database
schema