Conrad Blucher Institute for Surveying and Science

Transcription

1 d James Rizzo Assistant irector of Operations - Office: Mobile: james.rizzo@tamucc.edu

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3 d Texas Coastal Ocean Observation N Network (TCOON) Began in 1988 with 2 stations in Bay Consists of 30 data collection platforms Primary Sponsors Texas General Land Office Texas Water evelopment Board US Army Corps of Engineers In partnership with: National Oceanic and Atmospheric Administration, Center for Operational Oceanographic Products And Services

4 d Partnerships N Operational Partners Texas General Land Office-Coastal Resources Texas General Land Office-Oil Spill U.S. Corp of Engineers - Galveston istrict Center for Oceanographic - Operational Products and Services (NOAA/CO-OPS) Texas Water evelopment Board City of Guadalupe Blanco River Authority Sabine Neches Navigation istrict National Park Service Coastal Bend Bays and Estuaries Foundation Coastal Impact Assistance Program Collaborative Partners National Ocean Service (NOAA) Center for Operational Oceanographic Products and Services (NOAA/CO-OPS) National Weather Service WFO (NOAA) Texas Spatial Reference Center Texas Height Modernization Program

5 d Uses of TCOON N ata Establish Tidal atums Littoral Boundaries redge Maintenance Support Hydrographic Surveying Oil-spill Response Navigation (NOAA PORTS) Emergency Preparedness & Response Water Quality Studies Beach Nourishment Projects Marsh Protection & Restoration Research Artificial Neural Network Operational Modeling Mobile Applications

6 d Typical Station N Configuration ual Anemometers Air Temp sensor GOES Satellite Antenna Solar Panels Water Level Sensor Primary and Redundant ata Collection Systems Hardened Structure Backup water level sensor

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13 d National Water Level Observation Network (NWLON) 6 stations

14 d 6 NWLON & 30 TCOON

15 d 6 NWLON, 30 TCOON, + 17 Temporary Stations

16 d 6 NWLON 30 TCOON 17 Temporary 35 Historic stations *All Benchmark networks have Tidal atum and updated NAV 88 elevations

17 d Results: What s next?

18 d Sentinels of the Coast Galveston Entrance Channel, April 2011 North Jetty, April 2011 Texas Point, August 2011

19 d Sentinels of the Coast Port O Conner Port Aransas S. Padre Island Freeport

20 d NOAA and CBI, a 22 N year partnership Prior to becoming an IIQ contractor, CBI performed numerous tasks at the request of CO-OPS. These include installation, maintenance, and/or operation of systems along the entire Gulf Coast in support of PORTS, NWLON, NERRS, and even Joint Hydrographic Surveys projects in Tampico, Mexico. AS an IIQ contractor, CBI s previous projects include: Texas NWLON: Mobile PORTS Gulfport PORTS Pascagoula PORTS Sabine PORTS present Houston Galveston PORTS - present Lake Charles PORTS

21 d Mobile PORTS stations installed by CBI Coast Guard Sector Mobile WL/MET Fort Morgan MET/Buoy M Shore Mobile Container Terminal HACP Mobile State ock Pier E HACP Buoy M ATON

22 d Pascagoula PORTS stations installed by CBI ock C Met ock E WL Rear Range A Met Petit Boise Met Buoy 10 + Shore Buoy 17 + Shore Northrup Grumman HACP 2/20/2013

23 d Gulfport PORTS stations installed by CBI (iscontinued in 2012) West Pier HACP West Pier Met Outer Range Met aymarker 32 HACP Buoy 22 + shore Buoy 26 + shore 2/20/2013 RAFT 23

24 d Sabine PORTS stations installed by CBI Port of Beaumont HACP Rainbow Bridge WL (TCOON) Rainbow Bridge HACP Port Arthur HACP Port Arthur WL/MET (TCOON) West Port Arthur Bridge HACP Sabine Front Range HACP USCG Sabine WL/MET (NWLON) USCG Sabine HACP Buoy 34 ATON + shore (Texas Point TCOON) 2/20/

25 d CBI is also under contract for Operations and Maintenance of Houston/Galveston and Lake Charles PORTS

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27 CBI &TCOON an integrated observations and operational predictions system Too much data? Approach and computational infrastructure for transition from research/data to actionable information Operational Model Examples: Water Level Forecasting Water temperature predictions for navigation interruption Transit App for ship channel navigation Other examples

28 February 3-5, 2011 Cold Front Advice for start of traffic Interruption: :00 Advice for end of traffic Interruption: :00 7C 7C 7C 7C

29 Transit Time Large amount of measurements, nowcasts and predictions for most US ports (PORTS ) Predictions are difficult to access in the field Synthesize and augment predictions/data and make them accessible on a smart phone Transit App developed in collaboration with NOAA CO-OPS

30 Transit Time Mobile App Indication of the predicted water level Predicted transit time from the start position to that location +4:42 Arrow indicating the strength (length of arrow) and direction of the predicted current if stronger than 0.25 Kts

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32 Other Prediction Tools Water level predictions for the Texas Coast (implemented since ~ 2005) Storm surge predictions for Texas bays (prototype) Local hydrodynamic models (CMS) forced by stations from the dense TCOON network Use dense observation networks to set-up small and computationally efficient local hydrodynamic models

33 Water Level predictions: Measurements & Tidal Predictions for Packery Channel

34 Tide performance along the Texas coast ( ) CF (15 cm) Central Frequency of 15cm Frequency of predictions within 15cm of measurement

35 ANN Water Level Model Inputs: 0-48hrs past measurements: water levels, wind speeds, wind directions Tidal level predictions, wind predictions Atmospheric Predictions from North American Model, presently WFR-NAM, transmitted 4 times daily Models trained over 1 year of hourly data (selecting data sets with fronts and storms) Models optimized based on NOS criteria, mainly Central Frequency (15 cm)

36 Predictions for Packery Channel: 4/10/ :49 CST

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38 Central Frequency CF (15 cm) Performance Analysis (CC Naval Air Station ) 102 % 100 % 98 % 96 % 94 % 92 % 90 % 88 % 86 % 84 % 82 % ANN with Wind Forecasts ANN without Wind Forecasts Persistent Model Tides CF(15 cm) = 90% Forecast Time [hrs] ANN inputs include Estuary and Coastal Measurements

39 Surge [m] Water Levels [m] Error [m] Potential for Storm Surge Predictions within Bays: Galveston Bay Ike Track Sept. 5 Sept 14 Manchester Predictions - ANN trained on 2006 data Hrs Predictions Hours Error vs. Prediction Time Prediction Time [hrs] Surge at Pleasure Pier / Manchester Manchester Pleasure Pier Time to Landing [hrs]

40 Acknowledgments The ANN water level prediction system was in part supported by grants from the NOAA s Coastal Management Program (CMP), the Sea Grant Technology Program, the NOAA Environmental Cooperative Science Center (ECSC) and the Texas Research evelopment Fund (TRF). The water temperature prediction system was in part funded by Texas Parks and Wildlife, the Coastal Conservation Association and NOAA Environmental Cooperative Science Center (ECSC). The Transit App was in part supported by NOAA ECSC & NOAA CO-OPS. The views expressed herein are those of the authors and do not necessarily reflect the views of sponsors.

41 In conclusion The began the development of the Texas Coastal Ocean Observation Network in Since it s inception, the TCOON has expanded, contracted, stations have been destroyed, and been rebuilt. As a result, data from 30 TCOON stations installed on Storm resistant, hardened structures. ata are available online and in near real-time. CBIs database archives all information and activities associated with each data collection station included in TCOON. For more information, visit: