1. U.S. GODAE: Global Ocean Prediction with Community Effort: Community Effort: NRL, U. of Miami, FSU, NASA-GISS, NOAA/NCEP, NOAA/AOML, NOAA/PMEL, PSI, FNMOC, NAVOCEANO, SHOM, LEGI, OPeNDAP, UNC, Rutgers, USF, Fugro-GEOS, Orbimage, Shell, ExxonMobil

2. Example of commercial users OCENS (www.ocens.com) is a Seattle, Washington company delivering weather and ocean data to at-sea users around the world.www.ocens.com METEOREM (www.meteorem.com) provides ocean and weather forecasts to marinas, fishing fleets, etc.www.meteorem.com ROFFS (www.roffs.com) consist of fisheries oceanographers that use satellite and other oceanographic and meteorological datawww.roffs.com Horizon Marine, Inc. (www.horizonmarine.com)www.horizonmarine.com Orbimage (www.orbimage.com)www.orbimage.com Shell (www.shell.com)www.shell.com Exxon-Mobil (www.exxonmobil.com)www.exxonmobil.com Ocean Numerics (www.oceannumerics.com)www.oceannumerics.com Etc.

3. ROFFS™ FISHING OCEANOGRAPHIC ANALYSIS

4. ROFFS™ TECHNIQUE TAKE AN REPRESENTATIVE IMAGE TRACE THE WATER MASS BOUNDARIES COMPARE TO PREVIOUS DAY COMPARE TO TWO DAYS AGO ….. –TIME HISTORY OVER GOOD BOTTOM GRADIENT STRENGTH VELOCITY OF WATER OTHER CIRCULATION FACTORS –LOCAL & REGIONAL –PERSISTENCE & CLIMATOLOGY –LOCAL & REGIONAL WINDS

5. CLOUDS ARE A MAJOR PROBLEM SST and OCEAN COLOR NOT ALWAYS AVAILABLE USE ALTIMETERS –VALID DATA TWICE A WEEK –VISUALIZATION OF FRONTAL BOUNDARIES A PROBLEM USE HYCOM PRESENTLY FOR GUIDANCE NOT FOR DETAILS –VALIDATION NEEDED -> TRUST

6. ROFFS™ 13 July 2007

7. ROFFS™ VS HYCOM

8. Example of scientific users Provision of boundary conditions for regional systems Hurricane research Provision of velocity fields for comparison to glider measurements, moorings, etc. Etc.

9. George Halliwell, Nick Shay Rosenstiel School of Marine and Atmospheric Science University of Miami, Miami, FL William Teague Naval Research Laboratory, Stennis Space Center, MS Evaluation of the Simulated Ocean Response to Hurricane Ivan in Comparison to High-Quality Ocean Observations JGR, revised

10. Observed SST Response to Ivan AVHRR (Walker et al, 2005) Microwave satellite (Remote Sensing Systems)

11. Ivan Intensity

12. Pre-Ivan OHC Maps from the NCODA GOM Nowcast

13. Ivan Simulation Run within the 1/25° GOM Domain Initial and Boundary Conditions from NCODA GISS Vertical Mixing Atmospheric Forcing –Very important - must resolve the inner core of the storm –Start with the 0.5-degree NOGAPS forcing Problems: –Eye and eyewall poorly resolved –Maximum winds underestimated by 30-40% –Blend NOGAPS wind field with HWIND gridded vector wind fields from NOAA/HRD Produce wind speed and wind stress forcing fields that resolve the inner core structure

15. SSH, 10 Sept. 2004

16. Simulated SST Response to Ivan

17. SST (C) Before and After Ivan

18. Depth-Time Temperature Variability

19. SEED Moorings and Ivan Path 9

21. uv 0 150 Observations GISS Observations KPP MY GISS MY