school of ocean and earth science and technology university of hawai’i at manoa 11 february 2013...
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School of Ocean and Earth Science and TechnologyUniversity of Hawai’i at Manoa
11 February 2013
ALOHA Cabled Observatory:Data Considerations
R. Lukas, D. Karl and many others
ALOHA Cabled Observatory (ACO)Node installed June 2011 – deepest at 4728 m
Station ALOHA
ACO
F. Duennebier et al. started 2002
ACO bottom configuration
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Data and results
Aloha.manoa.hawaii.edu
CameraOBS light failed 3 JulyCAM lights failed 18 July
Jason on left – last moments on bottom “shrimp” swimming by
Deep-sea lizard fish attempting to eat an aristeid shrimp
Jeff Drazen and Aharon Fleury, UHawaii
One day, one minute of sound
First blues 31 October 2012
x10
Humpbacks returning 25 Nov 2012
ACO Network
Seafloor 100 Mb/s
Makaha 1 Gb/s
Makaha – Manoa HT 3 Mb/s MPLS
SOEST network 1 Gb/s
Internet 2 10 Gb/sReal-time data
display and access50 in-water IPs55 dry IPs
http://aloha.manoa.hawaii.edu
Future 1 Gb/s
ACO Data Management
NB ! MBARI SSDS and SIAM
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
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?
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