1 / 26

Marine & Aquatic Sensor Arrays Ken Johnson Monterey Bay Aquarium Research Institute

Marine & Aquatic Sensor Arrays Ken Johnson Monterey Bay Aquarium Research Institute. General Outline:. Sustained, Integrated Ocean Observing Networks Observatories Network Issues Biogeochemical Sensor Systems.

mliss
Download Presentation

Marine & Aquatic Sensor Arrays Ken Johnson Monterey Bay Aquarium Research Institute

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Marine & Aquatic Sensor Arrays Ken Johnson Monterey Bay Aquarium Research Institute

  2. General Outline: • Sustained, Integrated Ocean • Observing Networks • Observatories Network Issues • Biogeochemical • Sensor Systems

  3. Ocean Observatories InitiativeApproved by the National Science Board for a Future NSF Budget Includes: Coastal Observatories Plate Scale Observatory Global Mooring Observatory

  4. Partners University of Washington Woods Hole Oceanographic Institution National Aeronautics & Space Administration,JPL Monterey Bay Aquarium Research Institute NEPTUNE Canada (IPOST)

  5. MARS (the Monterey Accelerated Research System). A cabled observatory in Monterey Bay built with NEPTUNE infrastructure as a proof of concept.

  6. TropicalAtmosphereOcean project Real-time data from moored ocean buoys for improved detection, understanding and prediction of El Niño and La Niña.

  7. Issues - • Existing ocean observing systems such as TAO & ARGO deal with relatively simple data sets of well known format - e.g. vertical T & Salinity profiles. • New sensors cannot be easily fit into the platform or data system. • Data transmission from unattended platforms in the middle of the ocean is a problem. ARGO Global Profiling Drifter Array Temp. & Salinity of Ocean Interior

  8. E.g., the MBARI OASIS System - Now two moorings in Monterey Bay & two in the equatorial Pacific. M1 M2

  9. MBARI OASIS Moorings The OASIS moorings communicate by ARGOS, microwave or packet radio. Adding new sensors becomes a large software configuration issue, particularly for complicated sensors.

  10. M1 Mooring Configuration Schedule • 07/03 Initial configuration meeting • 08/02 Final science list • 08/03 Evaluate configuration • 08/04 Instruments on hand for testing • 08/07 Assemble instruments & configure - 5 days • 08/14 Configure software - 15 days • 09/04 Software test - 5 days • 09/11 Close controller and install - 5 days • 09/19 Complete system test - 5 days • 09/28 Data download test - 1 day • 10/04 Deploy mooring & cross your fingers

  11. Software Infrastructure for the MBARI Ocean Observing System Tom O’Reilly Duane Edgington

  12. MOOS software • Application software for sensors, user interfaces, databases, etc. • Distributed applications are “glued” together by smart network infrastructure

  13. Smart network • Self-organizing; applications are notified by infrastructure when network configuration changes • E.g., database ingest engine always “aware” of available sensors • Enables automatic configuration, remote control, and autonomous coordination of sensors

  14. Network configuration • “Just plug the sensor in, and it works!” • Easily replace, remove, or add a new kind of sensor • Remote update of sensor’s driver software • Minimal configuration effort by human operators lower maintenance cost

  15. Leading technology candidates • CORBA • Java - JINI • LonWorks • Universal Plug-n-Play

  16. What kind of data will we assimilate in global observing systems? • Physical, geophysical observations (T, S, seismicity) - generally sensors are mature. • Chemical - nutrients (nitrate, phosphate, iron), gases (carbon dioxide, oxygen) - sensors exist but have not gone commercial. • Biological - bio-optical systems are mature, but not very specific. DNA based systems are beginning to appear.

  17. In Situ Ultraviolet Spectrophotometry

  18. Measurement of pCO2 from Moorings: Gernot Friederich Peter Walz Mike Burzcynski Francisco Chavez all at MBARI

  19. El Niño / La Niña Cycle in Monterey Bay Temperature PCO2 (sea - air) matm

  20. DNA Based Detection of Phytoplankton Species Using the Environmental Sample Processor (ESP) • Chris Scholin • Roman Marin • Gene Massion • all at MBARI NOTE: The entire phytoplankton standing stock of the ocean turns over each 4 days on average!

  21. Sandwich hybridization bioassay of rRNA in phytoplankton

  22. Iron (nM) Pseudo-nitzschia australis (cells/L) Does iron regulate toxic plankton blooms (e.g., Wells et al., Evaluation of iron as a triggering factor for red tide blooms. MEPS, 69, 93, 1991)?

  23. MOOS will be operational in 2003 for biogeochemical studies.

More Related