David G. Foley Joint Institute for Marine and Atmospheric Research - University of Hawaii

1. GOES Applications:Research and Management of Living Marine Resources in the Central and Western Pacific David G. Foley Joint Institute for Marine and Atmospheric Research - University of Hawaii R. Michael Laurs Honolulu Laboratory NOAA Fisheries GOES-R User Workshop II 1-3 October 2002 Boulder, CO

2. Overview • Support of NOAA Fisheries missions • Relevant oceanic scales • Specific Applications • Integration with other data sets • Data Management • Prospects/requests for the future GOES series

3. NOAA Fisheries Missions • Basic Missions • Build and maintain sustainable fisheries • Protect and recover endangered species • Identify and maintain essential fish habitat • Support of Treaties • MHLC

4. Specific Applications • Locating Oceanic Convergence • Marine debris ($2 M / year) • Long-line fisheries ($100 M / anum) • Interaction of LL fishery and turtles ($100 M / year) • Expanded coverage of GOES SST • Mesoscale carbon flux • Guided sampling of research ships

5. Ocean Features Important In Fisheries • Ocean ‘fronts’, boundaries, ‘edges’ • Mesoscale circulation patterns, e.g., eddies, meanders, ‘loops’ • Convergence zones • Vertical thermal topography • Ocean surface winds • Wave heights

9. Hawaii Longline Closures

10. Monk Seal Entangled in Marine Debris

11. North Pacific Subtropical Convergence

12. Wind Stress Curl ERS2 January - March 1998

13. ERS2 Curl and AVHRR SST 18 C Isotherm

14. ERS2 Curl, AVHRR 18 C SST and SeaWiFS 0.2 Chl a

15. Curl, 18 C, 0.2 Chl aand Swordfish CPUE

16. Curl, SST, Chl a, Swordfish CPUE and Turtle Tracks

17. Spatial and Temporal Dynamics of Subtropical Convergence

18. Possible Approach to Define Time and Area Closures • Identify habitats using satellite sensors, e.g. • Areas of convergence - Wind Stress Curl (QuikSCAT and ADEOS-II) • Swordfish habitat - 18 C Isotherm (GOES, AVHRR GAC and MODIS) • Marine turtle habitat - 0.2 Chlorophyll (MODIS AM/PM) • Model anticipated longline fishery interactions • Adjust fishery closures accordingly • Guide vessels for at-sea Debris Recovery

20. Coral Reef Monitoring

21. Data Integration • Essential types of integration • Ground truth • Improves satellite products

22. Comparing Different Spatial Scales

23. SST at Maro Reef • Define minimum acceptable performance • Know when it works • Know when it fails • Devise regional calibrations

24. Data Integration • Essential types of integration • Ground truth • Improves satellite data • Sky truth • Improves in situ collection method

25. Winds at French Frigate Shoals • Identified discrepancy between satellite and in situ • Tested additional in situ platforms • Corrected error in mooring data

26. Product Development • Understand Regional Characteristics • Climatic conditions • Physical dynamics • Ecological interest • Focus on application • Choose appropriate platform • Work through example • Deliver product (and technology)

27. Data Management Near Real Time • High quality digital data from central processing • NRT from NESDIS|ORA and OSDPD • NRT from NASA and ESA • Regional products at local nodes • Targeted development through partnerships with end users • Flexible distribution schemes

28. Data ManagementSupporting Data • Delayed science-quality data sets • Basic data from large archives • E.g., NASA DAACs, ESA, NOAA|SAA • Extracted time series • Climatologies • Complementary in situ data

29. Desirements - General • Near-Real Time (< 11 hours) • Cloud-Cleared SST • Historical Data Sets • Spatial Coverage to include Western Pacific. • Hourly Solar Irradiance • Ocean Color Capacity (e.g., SEI)

30. Desirements - Specific