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ALOHA Cabled Observatory: Data Considerations

ALOHA Cabled Observatory: Data Considerations. School of Ocean and Earth Science and Technology University of Hawai’i at Manoa. 11 February 2013. Station ALOHA. R. Lukas, D. Karl and many others. ACO. ALOHA Cabled Observatory (ACO) Node installed June 2011 – deepest at 4728 m.

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ALOHA Cabled Observatory: Data Considerations

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  1. ALOHA Cabled Observatory:Data Considerations School of Ocean and Earth Science and Technology University of Hawai’i at Manoa 11 February 2013

  2. Station ALOHA R. Lukas, D. Karl and many others ACO ALOHA Cabled Observatory (ACO) Node installed June 2011 – deepest at 4728 m F. Duennebier et al. started 2002

  3. ACO bottom configuration ✔ ✗ ✔ ✗ ✔ ✗ ✗ ✔ ✗ ✔ ✗ ✔ ✗ ✔ ✗ ✗ ✗

  4. Data and results Aloha.manoa.hawaii.edu

  5. OBS light failed 3 July CAM lights failed 18 July  Camera Jason on left – last moments on bottom “shrimp” swimming by

  6. Deep-sea lizard fish attempting to eat an aristeid shrimp Jeff Drazen and AharonFleury, UHawaii

  7. One day, one minute of sound

  8. First blues 31 October 2012 x10

  9. Humpbacks returning 25 Nov 2012

  10. ACO Network Future 1 Gb/s • Seafloor 100 Mb/s • Makaha 1 Gb/s • Makaha – Manoa HT 3 Mb/s MPLS • SOEST network 1 Gb/s • Internet 2 10 Gb/s • Real-time data display and access • 50 in-water IPs • 55 dry IPs http://aloha.manoa.hawaii.edu

  11. ACO Data Management NB ! MBARI SSDS and SIAM

  12. Data numbers • Two hydrophones, each sampled (16 bit) 96,000 Hz, total 3 Mb/s, 12 TB/y • Other – temperature, velocity, etc – small • When video starts working again this September, H.264 < 1 Mb/s • Using NAS drives now • Starting to use Blu-ray • Buffering needed at shore station • 3 Mb/s link to UH Manoa now ($) • In process: 1 Gb/s link over state/UH network (< $) • Network complexity – IP addresses • Subsea 55 • Shore 50

  13. Data Management • SIAM (Software infrastructure and application for MOOS) – instrument servers, from MBARI (Monterey Bay Aquarium Research Institute) • SSDS – Shore-side Data System – MBARI • Custom – hydrophone, pressure, … • Practical problems – what are best practices for acoustic and video data?

  14. Lessons • Don’t underestimate shore-side needs • Network management – intensive! • Data management – intensive! • Documentation – intensive! • Real-time – intensive! • Include good time stamps – cross-correlating data (and problems) • Understanding problems with data – intensive! • Observatories – sustained long-term observations – prove value with un-aliased data

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