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Ups & Downs for Oceanography

Ups & Downs for Oceanography. I. Summary. This series is directed at Establishing importance of oceanographic data in everyday life Exploring instrumentation/platforms available, focusing on gliders Discussing examples of data collected Practicing applying such data . II. Objectives.

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Ups & Downs for Oceanography

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  1. Ups & Downs for Oceanography

  2. I. Summary This series is directed at • Establishing importance of oceanographic data in everyday life • Exploring instrumentation/platforms available, focusing on gliders • Discussing examples of data collected • Practicing applying such data

  3. II. Objectives After this series, you will be • Able to provide a suite of examples of oceanographic data that impact ‘day-to-day’ life • Able to discuss the various tools available to collect such data • Able to navigate various web sites to obtain and use such data

  4. III. Materials Computer lab with internet access Handouts: 1. URL maps 2. “Ideas” sheet

  5. IV. Procedure • Lecture on the topic • Consult ‘URL’ map to navigate various relevant sites • Consult ‘ideas’ sheet or come up with own ideas to complete project

  6. Projects (choose 1) “Wow! Fishing at xxx is going to be great today” “Why is the beach water cold today?” “We just lost $xxxx because the captain did not check at prevailing currents”

  7. The Plan

  8. I. Predicting the Ocean

  9. A. Important B. Data needed Beach erosion Shipping

  10. Fishing

  11. Biological phenomena

  12. II. Quest for data

  13. A. Dynamic environment

  14. B. Real time or near-real time data • Why? • Collection • Storage • Analysis

  15. 2. Data collection • Use assets • Land based • At sea • Satellites

  16. Retrieval facilitated 3. Storage

  17. 4. Data analysis

  18. Data scrutiny – accuracy

  19. Data scrutiny – consistency

  20. Data scrutiny – artifacts

  21. III. Parameters A. CTD B. Backscatter C. DO D. Wave data E. Current vector F. Other

  22. IV. Collection methods A. Mission requirements B. Endurance

  23. V. Some of the assets • Satellites • Cabled seafloor observatory • Land based radar • Vehicles • Ships • Submersibles

  24. A. Satellites

  25. Chlorophyll

  26. Sea surface temperature anomalies – latitude/temperature anomalies

  27. True color imagery

  28. B. Cabled seafloor observatory

  29. http://marine.rutgers.edu/nurp/leo-15/Node_B_Wave_Plots.htm

  30. C. Land based radar

  31. http://marine.rutgers.edu/cool/codar/real-time/archiveviewer_lr.phphttp://marine.rutgers.edu/cool/codar/real-time/archiveviewer_lr.php

  32. D. Vehicles

  33. 1. Ships

  34. 2. Submersibles

  35. Manned • Un-manned • ROV • AUV

  36. Non-autonomous assets have shortcomings comparable to ships

  37. ii. An AUV – Glider • ‘Unpowered’ vehicle • High endurance • Adequate payload capacity • Programmable • Communicates

  38. VII. What is a glider? Magic!?

  39. Forward motion without power! • Takes instructions and reports back

  40. VI. Survey of coastal ocean to 200 m

  41. VIII. Types of data • Real time • Discrete/’cleaned’ • Archived

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