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Division of Nearshore Research Texas Coastal Ocean Observation Network

Learn about the Division of Nearshore Research's Texas Coastal Ocean Observation Network (TCOON) and its real-time data collection and processing capabilities. Discover how TCOON supports various research efforts and provides valuable information for tidal datums, navigation, water quality studies, and more.

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Division of Nearshore Research Texas Coastal Ocean Observation Network

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  1. Division of Nearshore ResearchTexas Coastal OceanObservation Network Dr. Gary Jeffress Dr. Patrick Michaud Jessica Tishmack May 7, 2003

  2. Division of Nearshore Research Projects • Texas Coastal Ocean Observation Network • NOAA/NOS Natl Water Level Obs Network • Houston/Galveston PORTS • National/Global Ocean Observing System • TWDB Intensive Surveys • Nueces Bay Salinity Project • Corpus Christi Real-Time Navigation System • CMP - Neural-Network Forecasting • CMP - Waves

  3. 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

  4. TCOON Overview • Measurements • Precise water levels • Wind • Temperature • Barometric pressure • Follows NOAA/NOS standards • Real-time, online database

  5. Wind anemometer Radio antenna Satellite transmitter Solar panels Data collector Water level sensor Water quality sensor Current meter Typical TCOON Station

  6. Nueces Bay Salinity Project • Started 1991 • Informs data management officials of opportunities to avoid water releases • Water quality data collected every 30 minutes

  7. Other Real-time Systems • Real-time navigation • Port of Corpus Christi • Port Freeport • NOAA PORTS • Offshore weather

  8. Data Collection Paths

  9. Data Management • Automated acquisition, archive, processing, retrieval • 10-year historical database • Most processing takes place via Internet • Infrastructure for other observation systems

  10. Uses of DNR/TCOON Data • Tidal datums • Littoral boundaries • Oil-spill response • Navigation • Storm preparation/ response • Water quality studies • Research

  11. Tidal Datums • Used for • Coastal property boundaries • Nautical charts • Bridge and engineering structures

  12. Tidal Datum Schematic

  13. 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

  14. 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

  15. Water Level Forecasting Isidore begins to (re-)enter the Gulf… …what will happen next?

  16. Tide Predictions Tide The periodic rise and fall of a body of water resulting from gravitational interactions between Sun, Moon, and Earth. Tide and Current Glossary, National Ocean Service, 2000 According to NOS, changes in water level from non-gravitational forces are not “tides”.

  17. Harmonic Analysis • Standard method for tide predictions • Represented by constituent cosine waves with known frequencies based on gravitational (periodic) forces • Elevation of water is modeled as h(t) = H0 +  Hc fy,c cos(act + ey,c – kc) h(t) = elevation of water at time t H0 = datum offset ac = frequency (speed) of constituent t fy,c ey,c = node factors/equilibrium args Hc = amplitude of constituent c kc = phase offset for constituent c

  18. Prediction vs. Observation It’s nice when it works…

  19. Prediction vs. Observation …but it often doesn’t work in Texas

  20. Water Level != Tide In Texas, meteorological factors have a significant effect on water elevations.

  21. Uses of Harmonic Predictions However, harmonic predictions can still be useful! Consider… Isidore begins to (re-)enter the Gulf… …what will happen next?

  22. Uses of Harmonic Predictions If we add harmonic prediction… …what will happen next?

  23. Uses of Harmonic Predictions landfall

  24. Harmonic Water Level PredictionsPresent Capabilities • Automated system for computing harmonic constituent values from observations database • Harmonic predictions available via query page for many TCOON stations

  25. Water Level Prediction (Near) Future Capabilities • Persistent model forecast • Apply difference between latest observation and harmonic prediction to future predictions • Forecasts page on DNR web site • Obtain forecasts from different models • Harmonic predictions • Persistent model • Neural-network model • Linear-regression/statistical model • Hybrid models • Information about water-level forecasting methods • Statistics on previous forecasts

  26. Neural Network Forecasting • Use neural network to model non-tidal component of water level • Reliable short-term predictions CCNAS ANN 24-hour Forecasts for 1997 (ANN trained over 2001 Data Set)

  27. Forecasts in Storm Events CCNAS ANN 12-hour Forecasts During 1998 Tropical Storm Frances (ANN trained over 2001 Data Set)

  28. 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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