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Two NSF Data Services Projects. Rick Hooper, President Consortium of Universities for the Advancement of Hydrologic Science, Inc. Services-Oriented Architecture for Publishing Time-Series Data. Links geographically distributed information servers through internet
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Two NSF Data Services Projects Rick Hooper, President Consortium of Universities for the Advancement of Hydrologic Science, Inc.
Services-Oriented Architecture for Publishing Time-Series Data • Links geographically distributed information servers through internet • Web Services Description Language (WSDL from W3C) • We designed WaterMLas a web services language for water data • Functions for computer to computer interaction HIS Servers in the WATERS Network HIS Central at San Diego Supercomputer Center Web Services
Synthesis and communication of the nation’s water data http://his.cuahsi.org Government Water Data Academic Water Data National Water Metadata Catalog Hydroseek WaterML
CUAHSI National Water Metadata Catalog • Indexes: • 50 observation networks • 1.75 million sites • 8.38 million time series • 342 million data values NWIS STORET TCEQ
Hydroseek: Data Access Federal Agencies, State Agencies, and Academic Researchers
Results Chesapeake Bay Program EPA USGS
Get Data with one request! Data Cart
Accomplishments • Observations Data Model (ODM) is robust; • WaterOneFlow web services provide reliable access to ODM data; • WaterML is a common language for water observations data from academic and government sources • National Water Metadata Catalog is the most comprehensive index of the nation’s water observations presently existing.
Limitations • Focus on observations data measured as time series at fixed point locations; • Needs adaptation for moving sensors, transects, one-time data collections and field surveys; • Need to work more on • Coverages for weather, climate and remote sensing • Linking data and models • Linking geographic features Observations Models WaterML Geography Coverages
CUAHSI and Federal Agencies • Signed CRADA with US Geological Survey on instrumentation • Signed MoU with USGS and National Climatic Data Center (NOAA) on data services • Developing MoU with EPA Office of Water on data services
HIS Team and Collaborators • University of Texas at Austin – David Maidment, Tim Whiteaker, Ernest To, Bryan Enslein, Kate Marney • San Diego Supercomputer Center – Ilya Zaslavsky, David Valentine, Tom Whitenack • Utah State University – David Tarboton, Jeff Horsburgh, Kim Schreuders, Justin Berger • Drexel University – Michael Piasecki, Yoori Choi • University of South Carolina – Jon Goodall, Tony Castronova
HIS Overview Report • Summarizes the conceptual framework, methodology, and application tools for HIS version 1.1 • Shows how to develop and publish a CUAHSI Water Data Service • Available at: http://his.cuahsi.org/documents/HISOverview.pdf
Hydro-NEXRAD: A Community Resource for Hydrologic Research and Applications Project Goal: …to provide the hydrologic community with ready access to the vast archives and real-time information collected by the national network of NEXRAD radars. What is it? A WEB-based prototype information retrieval system that allows ordering customized radar-rainfall maps for hydrologic applications based on WSR-88D data. Science Goals • Extreme events: flash-floods, urban flooding, debris flow, landslides, etc. • Hydrologic forecasting: distributed models of water and contaminant transport, flood forecasting • Variability, predictability, complexity of water cycle • Support of WATERS network • Remote sensing …and much more…
Basin centric (USGS HUC System) • Relational database (large-scale prototype, 40 radars, over 250 radar years) • Web-based GUI (map server, database) • Extensive metadata base: basin, radar, points • Numerous radar-rainfall algorithms • Highly customizable (e.g. resolution, map projection) • High performance, ease of use • Modular design • Over 60 beta users
Updates, Plans & Challenges • Handling super resolution data and producing sub kilometer resolution rainfall products (under testing and evaluation) • Adaptation to real-time service for the community (working prototype exists) • Expanding to full national coverage (NCDC? CUAHSI?) • Expanding to multisensor (rain gauge, satellite data) capability (planned, algorithms exist) • Comprehensive performance evaluation (in progress) • Dynamic and modular nature of the system: ready for implementation of new ideas (fundamental design feature) • Facing the question “What’s next?” Upkeep, growth, architecture: central or distributed, etc. etc.