dd d conrad blucher institute d for surveying and science ... · the conrad blucher institute began...
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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
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
N Texas Coastal Ocean Observation Network (TCOON)
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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
N Partnerships
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
National Water Level Observation Network
(NWLON)
6 stations
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
6 NWLON
&
30 TCOON
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
6 NWLON, 30 TCOON,
+
17 Temporary Stations
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
6 NWLON
30 TCOON
17 Temporary
35 Historic stations
*All Benchmark networks have Tidal Datum
and updated NAVD 88 elevations
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
Results:
What’s next?
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
Sentinels of the Coast • Galveston Entrance
Channel, April 2011
• North Jetty, April 2011
• Texas Point, August 2011
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Conrad Blucher Institute
for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
Sentinels of the Coast 2014-2015
• Port O’Conner
• Port Aransas
• S. Padre Island
• Freeport
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Conrad Blucher Institute for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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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Conrad Blucher Institute for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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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Conrad Blucher Institute for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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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Conrad Blucher Institute for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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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Conrad Blucher Institute for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
CBI is also under contract for Operations and Maintenance
of Houston/Galveston and Lake Charles PORTS
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Conrad Blucher Institute for Surveying and Science
Texas A&M University
Corpus Christi
The Island University
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
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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
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