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U.S. GODAE: Global Ocean Prediction with

U.S. GODAE: Global Ocean Prediction with. 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. Example of commercial users.

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U.S. GODAE: Global Ocean Prediction with

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  1. U.S. GODAE: Global Ocean Prediction with 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. • METEOREM (www.meteorem.com) provides ocean and weather forecasts to marinas, fishing fleets, etc. • ROFFS (www.roffs.com) consist of fisheries oceanographers that use satellite and other oceanographic and meteorological data • Horizon Marine, Inc. (www.horizonmarine.com) • Orbimage (www.orbimage.com) • Shell (www.shell.com) • Exxon-Mobil (www.exxonmobil.com) • Ocean Numerics (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. JGR, revised Evaluation of the Simulated Ocean Response to Hurricane Ivan in Comparison to High-Quality Ocean Observations 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

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

  11. Ivan Intensity

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

  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

  14. SSH, 10 Sept. 2004

  15. Simulated SST Response to Ivan

  16. SST (C) Before and After Ivan

  17. Depth-Time Temperature Variability

  18. SEED Moorings and Ivan Path 9

  19. u v 0 Observations Observations 150 GISS GISS MY MY KPP KPP

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