1. Application of GHRSST Data to the Stewardship of Living Marine Resources: Putting SST Back in the Saddle Dave Foley Joint Institute for Marine and Atmospheric Research University of Hawai`i at Manoa and Environmental Research Division NOAA Southwest Fisheries Science Center GHRSST Users Symposium Santa Rosa, CA May 29, 2009

2. Ocean Features Important to Fisheries and Protected Species Ocean ‘fronts’, boundaries, ‘edges’ Mesoscale circulation patterns, e.g., eddies, meanders, ‘loops’ Convergence zones Vertical thermal topography Ocean surface winds Wave heights

3. The GHRSST Advantage Characterization of local error for each product –Reassurance to the user This allows for better integration into blended, cloud-free products –More likely to engage decision makers with a gap-free product. Standardized format with rich metadata –Easy access via tools compatible with the US Integrated Ocean Observing System

4. Early Autonomous Sampling Platforms

5. GOES MODIS (Aqua) AVHRR AMSRE

6. Blended 5-day SST

7. Tagging of Pelagic Predators (TOPP) Census of Marine Life Barbara Block Stanford University Steven Bograd* NOAA SWFSC ERD Dan Costa UC - Santa Cruz *Contact: steven.bograd@noaa.gov

8. GHRSST and TOPP Advantages of GHRSST data –NRT and delayed, science-quality data sets that resolve physical features at the daily scale required to understand quick moving creatures (tunas, seals, birds etc…) –Well populated scenes to help geolocation –Data accuracy essential for determination of “preferred habitat” based on physiological factors Issues –Lack of historical depth

10. Modern Autonomous Sampling Platforms Body Size: 2.5 to 3.0 kg Pop Center: NWHI Est. Pop.: 590,000 pairs Status: Vulnerable Body Size: 3.0 to 3.5 kg Pop Center: NWHI Est. Pop.: 61,000 pairs Status: Threatened

11. Bird Derived SST’s 24 hour record from archival tag

12. Albatross Post Breeding Courtesy Scott Shaffer, UCSC

13. Pathfinder 8-day image

14. GHRSST 1-day mw-ir-oi

16. Incidental By-catch of Sea Turtles Steven Bograd, Dave Foley* NOAA SWFSC ERD Evan Howell NOAA PIFSC *Contact: dave.foley@noaa.gov

17. US programs to protect Turtles in the Pacific El Nino Watch –Examination of SST fields legally mandated for determination of closures of CA drift/gill net fishery to protect Loggerhead turtle (Caretta caretta). Based on GHRSST June 1, 2009 TurtleWatch –NASA-funded program to mitigate by-catch of loggerheads in Hawaii Long-line fishery (currently voluntary). Transitioning to GHRSST underway.

18. El Nino Watch Report

20. Actual Data Used (AVHRR GAC)

21. REMSS Inc., GHRSST data set

22. Cetacean Avoidance Ben Best, Ei Fujioka, Pat Halpin, and Jason Roberts Marine Geospatial Ecology Lab Nicholas School of the Environment, Duke University Lisa Ballance, Jay Barlow, Elizabeth Becker, Steven Bograd, Karin Forney, and Jessica Redfern Southwest Fisheries Science Center NOAA - National Marine Fisheries Service Dave Foley* and Daniel Palacios Joint Institute for Marine and Atmospheric Research, University of Hawai`i at Manoa NASA Grant/Cooperative Agreement Number: NNX08AK73G *Contact: dave.foley@noaa.gov

23. Spatial Decision Support System (SDSS) Provides spatially explicit, quantitative predictions of marine mammal habitat (probability of occurrence) and species density. Predictions based on habitat variables derived from remotely sensed products. Allows environmental planners to estimate and avoid potential interactions (e.g., ship strikes, oil drilling noise, Navy exercises) with protected marine species. Average summer density

24. Spatial Decision Support System Website Click for details Courtesy of Jason Roberts, Duke University

25. SWFSC CCE Shipboard Surveys Completed transect lines 1991-2005 Cetacean surveys conducted in summer/fall of 1991, 1993, 1996, 2001, & 2005. Systematic line-transect methods were used on all surveys.

26. Sample Density Model Results Generalized Additive Models (GAMs) Fin whale Balaenoptera physalus Key Parameters dist. to 2,000m isobath, depth, SST, SVI, Beaufort

27. Moving Forward - Satellite NRT GHRSST SST fields from Remote Sensing Systems Inc. Pathfinder Jun - Dec 2005 Blended SST MW/IR/OI Sep 27, 2005 Fin whale (Balaenoptera physalus)

28. Moving Forward Redux GHRSST SST near real time data from Sep 27, 2005 Survey Sightings from Sep. 27 - Oct 16, 2005 Sightings Sep. 27 - Oct. 16 only

29. Cutting Edge: Prediction for 2008 GHRSST SST near real time data from October 15, 2008 Predicted Fin Whale density is quite unusual, and thus an excellent test. Blended SST Oct 15, 2008

30. Cutting Edge: Observed for 2008 GHRSST SST with 2008 survey sightings Very promising preliminary result Perhaps get NOAA started on providing operational support Blended SST Oct 15, 2008 Sightings Oct 6 - 16 Fin whale (Balaenoptera physalus) Data provided by Jay Barlow & team

31. User Desirements Provide full historical depth possible for certain products –REMSS Inc., daily mw_IR_oi back to 2002 (AMSR-E era) –REMSS Inc., daily mw_IR_oi back to 1999 (TMI era) Monthly products generated directly from the data sets (not a composite of the daily images). Let us discuss strategies to transition such products to operational status.