HR: 1340h
AN: H13H-1686 [Abstracts]
TI: Weather Downloader – A tool for downloading hydrologic data into Geographic Information Systems
AU: * To, E S
EM: eto@mail.utexas.edu
AF: University of Texas at Austin, Center for Research in Water Resources
University of Texas at Austin
10100 Burnet Road, Bldg 119, Austin, 78758,
AU: Whiteaker, T L
EM: twhit@mail.utexas.edu
AF: University of Texas at Austin, Center for Research in Water Resources
University of Texas at Austin
10100 Burnet Road, Bldg 119, Austin, 78758,
AU: Maidment, D R
EM: maidment@mail.utexas.edu
AF: University of Texas at Austin, Center for Research in Water Resources
University of Texas at Austin
10100 Burnet Road, Bldg 119, Austin, 78758,
AB:
The Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI) is an organization aimed at
developing infrastructure and services for the advancement of hydrologic science and education in the United
States. A key development of CUAHSI is WaterOneFlow web services, which provide programmatic access to
hydrologic data from a variety of data sources in a consistent manner, regardless of the data source. Weather
Downloader is a Geographic Information System (GIS) application that uses WaterOneFlow web services to
download the time series data needed to describe the hydrology of a given geographical area. It runs within
ESRI™ 's ArcGIS environment and can access meteorological, groundwater and streamflow data from public
repositories such as USGS and Daymet. In addition, it can be easily customized to access any source of data
that have been published using the WaterOneFlow web service protocol. Weather Downloader interacts directly
with ESRI™'s feature classes by systematically processing individual features and retrieving associated data into
the TimeSeries table of an Arc Hydro data model (Maidment, 2002). Through the Arc Hydro data model, time
series data can be integrated with spatial data and made accessible to GIS-based hydrologic and hydraulic
simulation models.
DE: 1819 Geographic Information Systems (GIS)
DE: 1848 Monitoring networks
DE: 1872 Time series analysis (3270, 4277, 4475)
DE: 1876 Water budgets
SC: Hydrology [H]
MN: 2007 Fall Meeting