Dd D Conrad Blucher Institute D for Surveying and Science ... · The Conrad Blucher Institute began...

James Rizzo

Assistant Director of Operations

Conrad Blucher Institute for Surveying and Science

Texas A&M University-Corpus Christi

Office: 361-825-5758

Mobile: 361-549-5120

[email protected]

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Conrad Blucher Institute

for Surveying and Science

Texas A&M University

Corpus Christi

The Island University

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Corpus Christi


N Texas Coastal Ocean Observation Network (TCOON)

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Began in 1988 with 2 stations in

Corpus Christi Bay

Consists of 30 data collection platforms

Primary Sponsors

• Texas General Land Office

• Texas Water Development Board

• US Army Corps of Engineers In partnership with:

National Oceanic and Atmospheric Administration,

Center for Operational Oceanographic Products

And Services

http://www.glo.state.tx.us/

http://www.twdb.state.tx.us/

http://www.usace.army.mil/

N Partnerships

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Operational Partners • Texas General Land Office-Coastal

Resources

• Texas General Land Office-Oil Spill

• U.S. Corp of Engineers - Galveston District

• Center for Oceanographic - Operational Products and Services (NOAA/CO-OPS)

• Texas Water Development Board

• City of Corpus Christi

• Guadalupe Blanco River Authority

• Sabine Neches Navigation District

• 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 Corpus Christi (NOAA)

• Texas Spatial Reference Center

• Texas Height Modernization Program

N Uses of TCOON Data

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Establish Tidal Datums

Littoral Boundaries

Dredge 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

N Typical Station Configuration

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Dual Anemometers

Air Temp sensor

GOES Satellite Antenna

Solar Panels

Water Level Sensor

Primary and Redundant

Data Collection Systems

Hardened Structure

Backup water level sensor

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National Water Level Observation Network

(NWLON)

6 stations

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6 NWLON

&

30 TCOON

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6 NWLON, 30 TCOON,

+

17 Temporary Stations

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6 NWLON

30 TCOON

17 Temporary

35 Historic stations

*All Benchmark networks have Tidal Datum

and updated NAVD 88 elevations

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Results:

What’s next?

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Sentinels of the Coast • Galveston Entrance

Channel, April 2011

• North Jetty, April 2011

• Texas Point, August 2011

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Sentinels of the Coast 2014-2015

• Port O’Conner

• Port Aransas

• S. Padre Island

• Freeport

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NOAA and CBI, a 22 year partnership

Prior to becoming an IDIQ 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 IDIQ contractor, CBI’s previous projects include:

Texas NWLON:

Mobile PORTS® 2007-2011

Gulfport PORTS® 2007-2012

Pascagoula PORTS® 2007-2012

Sabine PORTS® 2009 - present

Houston Galveston PORTS® - present

Lake Charles PORTS® - 2012

Mobile PORTS stations installed by CBI

Coast Guard Sector Mobile WL/MET

Fort Morgan MET/Buoy M Shore

Mobile Container Terminal HADCP

Mobile State Dock Pier E HADCP

Buoy M ATON

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2/20/2013

Pascagoula PORTS stations installed by CBI

Dock C Met

Dock E WL

Rear Range A Met

Petit Boise Met

Buoy 10 + Shore

Buoy 17 + Shore

Northrup Grumman HADCP

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2/20/2013 DRAFT 23

Gulfport PORTS stations installed by CBI

(Discontinued in 2012)

West Pier HADCP

West Pier Met

Outer Range Met

Daymarker 32 HADCP

Buoy 22 + shore

Buoy 26 + shore

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2/20/2013 24

Sabine PORTS stations installed by CBI Port of Beaumont HADCP

Rainbow Bridge WL (TCOON)

Rainbow Bridge HADCP

Port Arthur HADCP

Port Arthur WL/MET (TCOON)

West Port Arthur Bridge HADCP

Sabine Front Range HADCP

USCG Sabine WL/MET (NWLON)

USCG Sabine HADCP

Buoy 34 ATON + shore (Texas Point TCOON)

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CBI is also under contract for Operations and Maintenance

of Houston/Galveston and Lake Charles PORTS

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http://www.google.com/url?sa=i&rct=j&q=+thinker+&source=images&cd=&cad=rja&docid=c12l3F47AO6JVM&tbnid=iQfu1sODTpzrzM:&ved=0CAUQjRw&url=http://www.123rf.com/photo_5986664_the-thinker-statue-by-the-french-sculptor-rodin.html&ei=CC0RUeWWCurO2AWq8oHgBg&bvm=bv.41867550,d.b2I&psig=AFQjCNGzbTsvyHTO12l3QNL3-hMlcb4jfA&ust=1360166504861372

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

CBI &TCOON an integrated observations and operational predictions system

February 3-5, 2011 Cold Front Advice for start of traffic Interruption: 2-3 06:00 Advice for end of traffic Interruption: 2-5 18:00

7C

7C

7C

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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

Transit Time Mobile App

http://apps.proto.cbi.tamucc.edu/transit/

+4:42 Predicted transit time from the start

position to that location

Indication of the predicted water level

Arrow indicating the

strength (length of arrow)

and direction of the

predicted current if

stronger than 0.25 Kts

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

Water Level predictions: Measurements & Tidal

Predictions for Packery Channel

Tide performance along the Texas coast (1997-2001)

CF (15 cm)

Central Frequency of

15cm

Frequency of predictions

within 15cm of

measurement

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)

Predictions for Packery Channel: 4/10/2011 19:49 CST

http://lighthouse.tamucc.edu/supertool.php?stnid=013&elev=mwl

Performance Analysis

(CC Naval Air Station 97’-01’)

82 %

84 %

86 %

88 %

90 %

92 %

94 %

96 %

98 %

100 %

102 %

0 10 20 30 40 50 60

Forecast Time [hrs]

Cen

tra

l F

req

uen

cy C

F (

15

cm

)

ANN with Wind Forecasts

ANN without Wind Forecasts

Persistent Model

Tides

CF(15 cm) = 90%

ANN inputs include Estuary and Coastal Measurements

Potential for Storm Surge Predictions within Bays:

Galveston Bay

Ike Track Sept. 5 – Sept 14

0 50 100 150 200 2501.5

2

2.5

3

3.5

4

4.5

5

5.5

6

9 Hrs Predictions

Wate

r L

evels

[m

]

Hours

Error vs. Prediction Time

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0 10 20 30

Prediction Time [hrs]

Err

or

[m]

Surge at Pleasure Pier / Manchester

0

1

2

3

4

-72-48-24024

Time to Landing [hrs]

Su

rge [

m]

Manchester

Pleasure Pier

Manchester Predictions - ANN trained on 2006 data

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 Development Fund (TRDF).

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.

In conclusion

The Conrad Blucher Institute began the development of the

Texas Coastal Ocean Observation Network in 1988.

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.

Data 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: www.cbi.tamucc.edu

Dd D Conrad Blucher Institute D for Surveying and Science ... · The Conrad Blucher Institute began...

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