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

5. . Coast Guard Wide FYCases Lives Saved Lives Lost Before CG After CG TotalUnaccounted for ‘0331,5625,104409246655481 ’0432,5175,555502277779676 ’0529,7805,648521320841606 ’0628,3165,260476310786667

6. CG Wide 1) 3 searches / day = ~ 1000 / yr 2) 3 persons lost / day = ~ 1000 / yr 3) Costs $10k/hr to search $10k/hr x ~1000 x ~ 3 hr = ~ $30M 4) Value of Statistical Life = $3M 1000 x $3M = ~ $3B

7. CG Wide 1) Assume 100 persons involved / yr with sub-optimal search areas 2) Assume 22% POS now “typical” 3) 22 save/100 vs. 48/100 vs. 67/100 4) Save 26 to 45 additional persons / yr ($ 78M – $135M VSL)

8. 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

9. Maptech Spatial - A 3D Analyst GeoStat - A HAZMAT C-Map Other… SAROPS Extension -GUI -Drift & Resouce allocation modules EDS WWW NOAA Navy SAR Tools Extension - Flares, Patterns, Etc (CMF) CJMTK Mapping Framework TMS GEBASE COPEXTCOPEXT M O R E E X T’ S Search And Rescue Optimal Planning System – SAROPS

10. SAROPS Computer Screen

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

12. MARCOOS

13. Hurricane Floyd Simulation - 1999 Point Measurement vs. Field of Measurements United States Coast Guard & Rutgers Conclusions: 1)1999 data footprint was too small. 2)Operational decision aids could not use the data. 3)A vision for the future was developed. Factor of 4 Reduction Factor of 25 Reduction

14. Arthur Allen, Chris Turner, Marion Lewandowski, Paul Hall, Eoin Howlett, Dave Ullman, Jim O’Donnell, Todd Fake, Josh Kohut, Hugh Roarty, Scott Glenn Integration of CODAR and UConn Statistical Forecasts with SAROPS 2002 – Tidally Dominated – Long Island Sound 2004 - Winds & Tides - Full Continental Shelf

15. 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

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

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

18. Existing HF Radar QA/QC/Metadata Working Groups www.rowg.org/rowg Rowg1: February 2005: Points Unknown Rowg2: March, 2006: Charleston SC Rowg3: September, 2007: San Diego, CA www.qartod.org Q2: Spring, 2005: Norfolk VA Q3: Fall, 2005: San Diego CA

19. US Coast Guard SAROPS Testbed In Partnership with - USCG R&D Center - USCG Office of SAR - URI (Dave Ullman) - Rutgers July 26-September 15 2006 February 24 – April 7 2007 April 30 – June 7, 2007 10 Drifters 51 Days 2 Drifters 45 Days 6 Drifters 30 Days … and counting

20. Coast Guard SLDMB Drifters Start

21. 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 MARCOOS Forecast Models HF Radar Data Assimilation