Conrad Blucher Institute for Surveying and Science

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1 d James Rizzo Assistant irector of Operations Texas A&M University-Corpus Christi Texas A&M University Corpus Christi The Island University

2 d Ø History and background of the Texas Coastal Ocean Observation Network Ø Ø Ø Ø Ø Ø Ø Ø The network now know as the Texas Coastal Ocean Observation Network began in 1988 as a result a long standing boundary dispute between the State of Texas and a private land owner. ue to a boundary dispute, the Texas General Land Office submitted a requested to the National Oceanic and Atmospheric Administration (NOAA) to establish tidal datums in an area of the Lower Laguna Madre known locally as Land Cut. The Tidal atums would be used to establish the Littoral boundary between State owned submerged lowlands and privately owned uplands. NOAA respectfully declined the request due to the lack of resources. NOAA did however offered to assist with training the agency selected in the NOAA processes of installation, operation, maintenance, and repair of a water level stations as well as the production of water level datums. In 1988, the (CBI) was selected and the agency that would be charged with establishing a network of data collection systems along the Texas Coast. In 1989, CBI began installation of the first 2 water level stations in Corpus Christi Bay that ultimately became know as the Texas Coastal Ocean Observation Network or TCOON. In 1991, the Texas State Legislature enacted a bill establishing the Texas Coastal Ocean Observation Network as an Entity of the State of Texas directed to the collection of data used to manage the states Coastal Resources. The TCOON now consists of 29 water level stations meeting the standards established by NOAAs Center for Operational Oceanographic Products and Services (CO-OPS) CBI has developed a state of the art database for collecting, archiving, and processing data to CO-OPS standards along with the production of tidal datums. Primary Sponsors Texas General Land Office US Army Corps of Engineers Texas Water evelopment Board

3 d

4 d Station Name Texas Coastal Ocean Observation Network (TCOON Station I Aransas WLR Baffin Bay Copano Bay Eagle Point North Jetty Railroad Bridge High Island Ingleside Lynchburg Manchester Matagorda City Morgans Point Packery Port Aransas Port Arthur Port Lavaca Port Mansfield Port O'Connor Rainbow Bridge Realitos Rincon Rollover Pass S. Bird Island SPICGS San Luis Pass Sargent Seadrift Texas Point USS Lexington

5 d Partnerships Operational Collaborative 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 Corpus Christi Guadalupe Blanco River Authority Sabine Neches Navigation istrict National Park Service Coastal Bend Bays and Estuaries Foundation Coastal Impact Assistance Program National Ocean Service (NOAA) Center for Operational Oceanographic Products and Services (NOAA/CO-OPS) National Weather Service WFO Corpus Christi (NOAA) Texas Spatial Reference Center Texas Height Modernization Program

6 d N Uses of TCOON ata Ø Establish Tidal datums Ø Provide Real-Time environmental data to the public as well as local, state, and federal agencies Ø Supports Ø Ø Ø Ø Ø Ø Ø Ø redge Operations Hydrographic Surveying Oil-spill Response Navigation (NOAA PORTS) Emergency Preparedness & Response Beach Nourishment Projects Marsh Protection & Restoration Coastal construction Ø Promote Research Ø Modeling to include Artificial Neural Network Operational Modeling AN Mobile Applications

7 d Typical TCOON Elevated Platform Configuration Primary and redundant water level sensors Primary and redundant Anemometer Air Temperature Water Temperature Atmospheric Pressure Sensor Primary and redundant ata Collection Systems ual Communication capabilities Independent power systems

8 d NOAA National Water Level Observation Network (NWLON) Used as Control Sabin Pass Port Isabel USCG Freeport Galveston Pier 21 Corpus Christi Rockport

9 d ata Availability in Texas NOAA-CO-OPS 6

10 d ata and atums availability in Texas NOAA-CO-OPS TCOON 6 29

11 d ata and atums availability in Texas NOAA-CO-OPS TCOON Temporary

12 d ata and atums availability in Texas NOAA-CO-OPS TCOON Temporary Historic Stations Total 87

13 d Sentinels of the Coast Sentinel of the Coast NOAA CO-OPS esign Rated for Cat 4 Storm 18 Storm Surge 10 Wave Platform Elevation MSL +32 Cost $500,000 US Galveston Entrance Channel, April 2011 North Jetty, April 2011 Texas Point, August 2011

14 d Sentinels of the Coast In 2012 CBI was awarded a $2,000,000 Coastal Impact Assistance Program Grant Award for the installation of 4 new Sentinel of the Coast ata Collection Platforms. Freeport Harbor Channel (Surfside) Matagorda Ship Channel (Port O Connor) Aransas Channel (Port Aransas) Brazos Santiago Pass (South Padre Island)

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

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

17 d 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)

18 d Water Level predictions: Measurements & Tidal Predictions for Packery Channel

19 d Predictions for Packery Channel: 4/10/ :49 CST

20

21 d Potential for Storm Surge Predictions within Bays: Galveston Bay Manchester Predictions - ANN trained on 2006 data 9 Hrs Predictions Ike Track Sept. 5 Sept 14 6 Error vs. Prediction Time Error [m] Water Levels [m] Hours Surge at Pleasure Pier / Manchester 3 Pleasure Pier Time to Landing [hrs] Surge [m] 4 Manchester Prediction Time [hrs] 30

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

23 d Transit Time Indica,on of the predicted water level Predicted transit,me from the start posi,on to that loca,on +4:42 Arrow indica,ng the strength (length of arrow) and direc,on of the predicted current if stronger than 0.25 Kts

24 d

25 Questions?

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