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Success Stories – Making a Difference

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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Success Stories – Making a Difference

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  1. 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

  2. USCG Area of Responsibility

  3. Mid-Atlantic is the Most Urbanized Coast in the Unites States Puerto Rico has many similarities

  4. Coast Guard Wide .

  5. 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

  6. 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)

  7. 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

  8. Search And Rescue Optimal Planning System – SAROPS COP EXT TMS GEBASE WWW NOAA Navy (CMF) CJMTK Mapping Framework EDS Maptech MORE EXT’S • SAROPS Extension • GUI • Drift & Resouce allocation modules 3D Analyst • SAR Tools Extension • Flares, Patterns, Etc Spatial - A GeoStat - A HAZMAT SAROPS C-Map Other…

  9. Search And Rescue Optimal Planning System – SAROPS SAROPS Computer Screen

  10. Compact CODAR HF Radars 5 MHz Receive Antenna Transmit Antenna 25 MHz and 13 MHz

  11. MARCOOS

  12. 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.

  13. 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 O’Donnell, Todd Fake, Josh Kohut, Hugh Roarty, Scott Glenn

  14. 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

  15. Comparison of Actual Drifter Tracks with CODAR Data New Jersey Shelf (2004) Long Island Sound (2002) Nearest Coastal Site CODAR Currents SLDMB Drifter

  16. Lost Glider Recovery: Rutgers, USCG, Civil Air Patrol Lost Found 10 days later Civil Air Patrol Glider ru02 as seen from Search Plane Communication Plane Search Plane

  17. 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

  18. 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 R&D Center - USCG Office of SAR - URI (Dave Ullman) - Rutgers

  19. Start Start Coast Guard SLDMB Drifters

  20. MARCOOS Forecast Models HF Radar Data Assimilation Statistical Model STPS – U. Connecticut Dynamical 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

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