Success Stories Making a Difference

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Success
Stories Making a Difference Optimizing HF
Radar for SAR using USCG Surface Drifters
Art Allen U.S. Coast Guard Josh Kohut, Scott
Glenn Rutgers University and the Mid-Atlantic
Regional Coastal Ocean Observing System
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USCG Area of Responsibility
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Mid-Atlantic is the Most Urbanized Coast in the
Unites States
Puerto Rico has many similarities
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(No Transcript)
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Coast Guard Wide
.
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CG Wide

• 3 searches / day 1000 / yr
• 3 persons lost / day 1000 / yr
• Costs 10k/hr to search
• 10k/hr x 1000 x 3 hr 30M
• Value of Statistical Life 3M
• 1000 x 3M 3B

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CG Wide

• Assume 100 persons involved / yr with
  sub-optimal search areas
• Assume 22 POS now typical
• 22 save/100 vs. 48/100 vs. 67/100
• Save 26 to 45 additional persons / yr
• ( 78M 135M VSL)

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Search Rescue Problem

• Create a SAR case when alerted
• Gather data, estimate uncertainties
• Use model to determine search area
• Estimate resource availability and capability
• Plan the next search
• Promulgate the search plan
• Perform the search plan
• Evaluate the completed search
• Repeat above until survivors are found and rescued

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Search And Rescue Optimal Planning System SAROPS
WWW NOAA Navy
(CMF) CJMTK Mapping Framework
EDS
Maptech
MORE EXTS

• SAROPS Extension
• GUI
• Drift Resouce allocation modules

3D Analyst

• SAR Tools Extension
• Flares, Patterns, Etc

Spatial - A
GeoStat - A
HAZMAT
SAROPS
C-Map
Other
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Search And Rescue Optimal Planning System SAROPS
SAROPS Computer Screen
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Compact CODAR HF Radars
5 MHz
Receive Antenna
Transmit Antenna
25 MHz and 13 MHz
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MARCOOS
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Hurricane Floyd Simulation - 1999 Point
Measurement vs. Field of Measurements United
States Coast Guard Rutgers
Factor of 25 Reduction
Factor of 4 Reduction

• Conclusions
• 1999 data footprint was too small.
• Operational decision aids could not use the data.
  
• A vision for the future was developed.

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Integration of CODAR and UConn Statistical
Forecasts with SAROPS 2002 Tidally Dominated
Long Island Sound 2004 - Winds Tides - Full
Continental Shelf
Arthur Allen, Chris Turner, Marion
Lewandowski, Paul Hall, Eoin Howlett, Dave
Ullman, Jim ODonnell, Todd Fake, Josh Kohut,
Hugh Roarty, Scott Glenn
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US Coast Guard Self Locating Data Marker Buoy
(SLDMB)
Drifters are Tossed Overboard Expand and Drift
with the Surface currents Positions transmitted
to Shore via satellite
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Comparison of Actual Drifter Tracks with CODAR
Data
New Jersey Shelf (2004)
Long Island Sound (2002)
Nearest Coastal Site CODAR Currents SLDMB Drifter
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Lost Glider Recovery Rutgers, USCG, Civil Air
Patrol
Civil Air Patrol
Glider ru02 as seen from Search Plane
Communication Plane
Search Plane
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Existing HF Radar QA/QC/Metadata Working Groups
www.qartod.org Q2 Spring, 2005 Norfolk VA Q3
Fall, 2005 San Diego CA
www.rowg.org/rowg Rowg1 February 2005 Points
Unknown Rowg2 March, 2006 Charleston SC Rowg3
September, 2007 San Diego, CA
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US Coast Guard SAROPS Testbed
July 26-September 15 2006
10 Drifters 51 Days
February 24 April 7 2007
2 Drifters 45 Days
April 30 June 7, 2007
6 Drifters 30 Days and counting
In Partnership with - USCG RD Center -
USCG Office of SAR - URI (Dave Ullman) -
Rutgers
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Start
Start
Coast Guard SLDMB Drifters
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MARCOOS Forecast Models HF Radar Data
Assimilation
Statistical Model STPS U. Connecticut Dynami
cal Models NYHOPS Stevens Institute of
Technology ROMS Rutgers University HOPS
U. Massachusetts, Dartmouth
All 4 forecasts will be evaluated for inclusion
in the USCG search planning tool, SAROPS