HR: 09:00h
AN: H11K-05    [Abstracts]
TI: Deployment and Evaluation of an Observations Data Model
AU: Horsburgh, J S
EM: jeff.horsburgh@usu.edu
AF: Utah State University, Utah Water Research Laboratory, 8200 Old Main Hill, Logan, UT 84322, United States
AU: * Tarboton, D G
EM: david.tarboton@usu.edu
AF: Utah State University, Utah Water Research Laboratory, 8200 Old Main Hill, Logan, UT 84322, United States
AU: Zaslavsky, I
EM: zaslavsk@sdsc.edu
AF: San Diego Super Computer Center, University of California at San Deigo, 10100 Hopkins Drive, La Jolla, CA 92093, United States
AU: Maidment, D R
EM: maidment@mail.utexas.edu
AF: University of Texas at Austin, Center for Research in Water Resources, 10100 Burnet Rd, Austin, TX 78758, United States
AU: Valentine, D
EM: valentin@sdsc.edu
AF: San Diego Super Computer Center, University of California at San Deigo, 10100 Hopkins Drive, La Jolla, CA 92093, United States
AB: Environmental observations are fundamental to hydrology and water resources, and the way these data are organized and manipulated either enables or inhibits the analyses that can be performed. The CUAHSI Hydrologic Information System project is developing information technology infrastructure to support hydrologic science. This includes an Observations Data Model (ODM) that provides a new and consistent format for the storage and retrieval of environmental observations in a relational database designed to facilitate integrated analysis of large datasets collected by multiple investigators. Within this data model, observations are stored with sufficient ancillary information (metadata) about the observations to allow them to be unambiguously interpreted and used, and to provide traceable heritage from raw measurements to useable information. The design is based upon a relational database model that exposes each single observation as a record, taking advantage of the capability in relational database systems for querying based upon data values and enabling cross dimension data retrieval and analysis. This data model has been deployed, as part of the HIS Server, at the WATERS Network test bed observatories across the U.S where it serves as a repository for real time data in the observatory information system. The ODM holds the data that is then made available to investigators and the public through web services and the Data Access System for Hydrology (DASH) map based interface. In the WATERS Network test bed settings the ODM has been used to ingest, analyze and publish data from a variety of sources and disciplines. This paper will present an evaluation of the effectiveness of this initial deployment and the revisions that are being instituted to address shortcomings. The ODM represents a new, systematic way for hydrologists, scientists, and engineers to organize and share their data and thereby facilitate a fuller integrated understanding of water resources based on more extensive and fully specified information.
UR: http://www.cuahsi.org/his/odm.html
DE: 0525 Data management
DE: 0530 Data presentation and visualization
DE: 1800 HYDROLOGY
DE: 1819 Geographic Information Systems (GIS)
SC: Hydrology [H]
MN: 2007 Fall Meeting