1. InvestigatorAffiliationInvestigatorAffiliation A. AllenU.S. Coast GuardL. AtkinsonOld Dominion University A. F. BlumbergStevens Institute of Technology W. BoicourtUniversity of Maryland W. BrownUniversity of Massachusetts M. BrunoStevens Institute of Technology D. ChapmanUniversity of DelawareA. CopeNOAA Mount Holly WFO A.GangopadhyayUniversity of Massachusetts T. HerringtonStevens Institute of Technology D. HollowayOPeNDAPE. HowlettApplied Science Associates D. KingUniversity of MarylandJ. KohutRutgers University B. LipphardtUniversity of DelawareA.MacDonaldMonmouth University J. McDonnellRutgers UniversityJ. MoisanNASA Wallops J. O’DonnellUniversity of ConnecticutM. OliverRutgers University O. SchofieldRutgers UniversityH. SeimUniversity of North Carolina J. TitlowWeatherFlow Inc.D. UllmanUniversity of Rhode Island J. WilkinRutgers UniversityR. WilsonSUNY, Stony Brook W. WittmanPublic Service Electric & Gas M. YaroshCIT A. VorosNY/NJ COASTS. GlennRutgers University 30 Co-PIs, 20 Institutions Surface current and wave validation of a nested multi- static regional HF radar network in the Mid-Atlantic Bight NWS WFOs Std Radar Sites Mesonet Stations LR HF Radar Sites Glider AUV Tracks USCG SLDMB Tracks NDBC Offshore Platforms CODAR Daily Average Currents Cape Cod to Cape Hatteras: ~1000 km Coastline

2. Regional Theme 1: Maritime Safety – Search And Rescue Before HF Radar After HF Radar MARCOOS Regional Observations Coast Guard SAROPS Weatherflow USCG

3. USCG Area of SAR Responsibility

4. SLDMB Deployments 1 Jan 2006 – 31 Dec 2007

5. CG wide SAR Statistics FYCasesLives Saved ‘0529,7805,648 ’0628,3235,290 ’0727,0905,175

6. Create a SAR case when alerted Search & Rescue Problem

7. Create a SAR case when alerted Gather information about case Search & Rescue Problem

8. Create a SAR case when alerted Gather information about case Get environmental data & uncertainties Search & Rescue Problem

9. Create a SAR case when alerted Gather information about case Get environmental data & uncertainties Use model to determine search area Search & Rescue Problem

10. Create a SAR case when alerted Gather information about case Get environmental data & uncertainties Use model to determine search area Estimate resource availability and capability Search & Rescue Problem

11. Create a SAR case when alerted Gather information about case Get environmental data & uncertainties Use model to determine search area Estimate resource availability and capability Plan, promulgate & perform the next search Search & Rescue Problem

12. Create a SAR case when alerted Gather information about case Get environmental data & uncertainties Use model to determine search area Estimate resource availability and capability Plan, promulgate & perform the next search Evaluate the completed search Search & Rescue Problem

13. Create a SAR case when alerted Gather information about case Get environmental data & uncertainties Use model to determine search area Estimate resource availability and capability Plan, promulgate & perform the next search Evaluate the completed search Repeat above until survivors are found and rescued Search & Rescue Problem

14. SAROPS Interface

15. EDS Catalog Server THREDDS OPeNDAP Winds Currents Drifters Weather Catalog DB SAROPS Client Web Client Internet Web Services

16. Example EDS Data Sources Currents NAVO Global NCOM NOAA NCEP HYCOM NOS Regional ADCIRC CODAR Regional Models Other… Bluelink, Satellite Data(AOML), commercial Winds FNMOC NOGAPS FNMOC COAMPS NOAA NCEP NAM NOAA NCEP GFS NOAA NDFD* NOAA NDBC Regional Models (e.g GLERL) Other… commercial

17. Example EDS Data Sources Currents NAVO Global NCOM NOAA NCEP HYCOM NOS Regional ADCIRC CODAR Regional Models Other… Bluelink, Satellite Data(AOML), commercial Winds FNMOC NOGAPS FNMOC COAMPS NOAA NCEP NAM NOAA NCEP GFS NOAA NDFD* NOAA NDBC Regional Models (e.g GLERL) Other… commercial

18. 26 Sites

19. Regional Theme 1: Maritime Safety Search And Rescue Product Flow Chart MARCOOS QA/QC HF Radar Data ROMS (Rutgers) STPS, (UConn) HOPS (SMAST) NYHOPS (Stevens) YEAR 2 YEAR 1 SAROPS

20. US Coast Guard SAROPS Testbed QA/QC Goals: Ensure that data going to Coast Guard is within uncertainty estimates defined in SAROPS Standardize settings among 26 current sites. Continue research on new algorithms/settings Models SAROPS

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

22. Tuckerton HF radar grid

23. Drifter to Drifter Comparisons

24. Abs[Codar-drifter] (cm/s) RMS: 10.24 cm/s R 2 : 0.62

25. East Component RMS: 8.5 cm/s R 2 :0.76 NP:929 North Component RMS: 11.7 cm/s R 2 :0.40 NP:929 Total Vector Comparisons

26. Test and Evaluate QA/QC Procedures UNC-CH (Seim and Haines) - First Order Lines - MUSIC Parameters ODU (Garner and Atkinson) - Real-time Diagnostics - Baseline Comparisons Rutgers (Kohut, Roarty, Lichtenwalner) - Merging Algorithm - Antenna Pattern Sensitivity - Nearshore waves and Currents

27. Test and Evaluate QA/QC Procedures UNC-CH (Seim and Haines) - First Order Lines - MUSIC Parameters ODU (Garner and Atkinson) - Real-time Diagnostics - Baseline Comparisons Rutgers (Kohut, Roarty, Lichtenwalner) - Merging Algorithm - Antenna Pattern Sensitivity - Nearshore waves and Currents

28. How CODAR Averages… Time Series Cross-spectra Radial Files 11:00 12:00 13:00 RadsSITE_04_04_21_1200

29. Test and Evaluate QA/QC Procedures Original Algorithm RMS: 11.7 cm/s R 2 :0.55 NP:783 Vector Count Min:2 Max:4 Avg:2.8 New Algorithm RMS: 10.8 cm/s R 2 : 0.60 NP:842 Vector Count Min:3 Max:12 Avg:6.8

30. Test and Evaluate QA/QC Procedures UNC-CH (Seim and Haines) - First Order Lines - MUSIC Parameters ODU (Garner and Atkinson) - Real-time Diagnostics - Baseline Comparisons Rutgers (Kohut, Roarty, Lichtenwalner) - Merging Algorithm - Antenna Pattern Sensitivity - Nearshore waves and Currents

31. HF Radar derived Wave Evaluation Longterm trends and focused process studies

32. Transition Through the Storm

33. HF Radar derived Wave Evaluation Nearshore bathymetric effects Inversion: deep to shallow (Lipa and Barrick) Linear dispersion vs. depth Refraction: Snell’s Law Present Algorithm Nearshore Algorithm CODAR In Situ

34. Test and Evaluate QA/QC Procedures UNC-CH (Seim and Haines) - First Order Lines - MUSIC Parameters ODU (Garner and Atkinson) - Real-time Diagnostics - Baseline Comparisons Rutgers (Kohut, Roarty, Lichtenwalner) - Merging Algorithm - Antenna Pattern Sensitivity - Nearshore waves and Currents December 2007 – February 2008

35. MARCOOS is providing regional surface current observations to the Coast Guard through SAROPS MARCOOS will provide regional surface current forecasts to the Coast Guard through SAROPS MARCOOS QA/QC team is continually testing new algorithms to further lower uncertainties of surface current and nearshore wave estimates. Summary