Texas Coastal Ocean Observation Network - PowerPoint PPT Presentation

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Texas Coastal Ocean Observation Network

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... Water Quality Sensor Current Meter Uses of TCOON Data Tidal Datums Littoral Boundaries Oil-Spill Response Navigation Storm ... Solar Panels Data ... – PowerPoint PPT presentation

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Title: Texas Coastal Ocean Observation Network


1
Texas Coastal Ocean Observation Network
  • Dr. Patrick R. Michaud
  • December 12, 2001

2
TCOON Overview
  • Started 1988
  • Over 50 stations
  • Primary Sponsors
  • General Land Office
  • Water Devel. Board
  • US Corps of Eng
  • Nat'l Ocean Service

Gulf of Mexico
3
TCOON Overview
  • Measurements
  • Precise Water Levels
  • Wind
  • Temperature
  • Barometric Pressure
  • Follows NOAA/NOS standards
  • Real-time, online database

4
Typical TCOON Station
  • Wind anemometer
  • Radio Antenna
  • Satellite Transmitter
  • Solar Panels
  • Data Collector
  • Water Level Sensor
  • Water Quality Sensor
  • Current Meter

5
Uses of TCOON Data
  • Tidal Datums
  • Littoral Boundaries
  • Oil-Spill Response
  • Navigation
  • Storm Preparation/ Response
  • Research

6
Data Management
  • Automated Acquisition, Archive, Processing,
    Retrieval
  • 10-year Historical Database
  • Most processing takes place via Internet
  • Infrastructure for other observation systems

7
Data ManagementDesign Principles
  • Preserve source data
  • Annotate instead of modify
  • Automate as much as possible
  • Maintain a standard interchange format
  • Avoid complex or proprietary components
  • Emphasize long-term reliability over short-term
    costs

8
Other Real-Time Systems
  • Real-time Navigation
  • Port of Corpus Christi
  • Port Freeport
  • NOAA PORTS
  • Water-Quality
  • Nueces Bay Salinity
  • Oso Creek Dissolved Oxygen
  • Offshore Weather

9
Research
  • Real-time Automated Data Processing
  • Tidal Datum Processing
  • Web-based Visualization and Manipulation of
    Coastal Data
  • Neural-Network-based forecasts from real-time
    observations
  • Specialized sensor and data acquisition system
    development
  • Support for other research efforts

10
Neural Network Forecasting
  • Reliable short-term predictions of effects of
    storm events

11
New Data Collection Hardware
  • PC-104 based computer
  • Linux operating system
  • Solid-state Flash memory
  • 10 serial ports, 16 A/D channels
  • Low power consumption
  • Rugged for harsh environments

12
Conclusions
  • Long-term, data-rich observation network
  • Web-based infrastructure for automated collection
    and processing of marine data
  • Research in datum computation and coastal
    forecasting
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