Two NSF Data Services Projects

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Two NSF Data Services Projects

• Rick Hooper, President
• Consortium of Universities for the Advancement of
  Hydrologic Science, Inc.

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Services-Oriented Architecture for Publishing
Time-Series Data

• Links geographically distributed information
  servers through internet
• Web Services Description Language (WSDL from W3C)
• We designed WaterML as 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
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Synthesis and communication of the nations water
data http//his.cuahsi.org
Government Water Data
Academic Water Data
National Water Metadata Catalog
Hydroseek
WaterML
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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
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Hydroseek Data Access
Federal Agencies, State Agencies, and Academic
Researchers
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Map-based or Basin-based Search
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Enter Data Type
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Results
Chesapeake Bay Program
EPA
USGS
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Get Data with one request!
Data Cart
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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 nations water
  observations presently existing.

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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
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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

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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

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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
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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

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• 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

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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 Whats next? Upkeep,
  growth, architecture central or distributed,
  etc. etc.