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
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
III. Materials
Computer lab with internet access
Handouts:
1. URL maps
2. “Ideas” sheet
IV. Procedure
A. Lecture on the topic
B. Consult ‘URL’ map to navigate various relevant sites
C. Consult ‘ideas’ sheet or come up with own ideas to complete project
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”
The Plan
I. Predicting the Ocean
A. Important
B. Data needed
Beach erosionShipping
Fishing
Biological phenomena
II. Quest for data
A. Dynamic environment
B. Real time or near-real time data
• Why?• Collection• Storage• Analysis
2. Data collection
• Use assets– Land based– At sea– Satellites
3. Storage
• Retrieval facilitated
4. Data analysis
Data scrutiny – accuracy
Data scrutiny – consistency
Data scrutiny – artifacts
III. Parameters
A. CTD
B. Backscatter
C. DO
D. Wave data
E. Current vector
F. Other
IV. Collection methods
A. Mission requirements
B. Endurance
V. Some of the assets
A. Satellites
B. Cabled seafloor observatory
C. Land based radar
D. Vehicles1. Ships
2. Submersibles
A. Satellites
ChlorophyllChlorophyll
Sea surface temperature anomalies – latitude/temperature anomalies
True color imagery
B. Cabled seafloor observatory
• http://marine.rutgers.edu/nurp/leo-15/Node_B_Wave_Plots.htm
C. Land based radar
• http://marine.rutgers.edu/cool/codar/real-time/archiveviewer_lr.php
D. Vehicles
1. Ships
2. Submersibles
a. Manned
b. Un-manned i. ROV
ii. AUV
• Non-autonomous assets have shortcomings comparable to ships
ii. An AUV – Glider
• ‘Unpowered’ vehicle• High endurance• Adequate payload
capacity• Programmable• Communicates
VII. What is a glider?
Magic!?
• Forward motion without power!
• Takes instructions and reports back
VI. Survey of coastal ocean to 200 m
VIII. Types of data
• Real time
• Discrete/’cleaned’
• Archived
Uses
• Real time – Tracking a current event– Can be unwieldy
• Discrete– Loss of time/event line– Economical
• Archived – Analyzing changes in parameters– Usually distilled
IX. Examples of data available
http://www.osdpd.noaa.gov/PSB/EPS/SST/data/FS_km14nat00.gif
SST:
http://marine.rutgers.edu/cool/show/?file=../regions/bigbight/sst/noaa/2006/img/060712.193.0938.n12.jpg
Chlorophyll
• http://marine.rutgers.edu/cool/show/?file=../regions/bigbight/chlor/fy1d/2006/img/060712.193.1217.fyd.jpg
Salinity
• Ocean salinity http://www.windows.ucar.edu/tour/link=/earth/Water/images/salinity_big_gif_image.html
Questions that combine data sets
How do winds influence chlorophyll – plankton?
Compare salinity data and temperature data
End
End
Mid-Atlantic Bight
• http://www.windows.ucar.edu/
• Ocean salinity http://www.windows.ucar.edu/tour/link=/earth/Water/images/salinity_big_gif_image.html
Sea surface salinity
• http://www7320.nrlssc.navy.mil/global_ncom/mab.html
Bight
• A bend or curve, especially in a shoreline.
• A wide bay formed by such a bend or curve.
Mid-Atlantic Bight
Cape Cod
Cape Hatteras
Sea surface temperature anomalies – latitude/temperature anomalies
Gulf of Maine
• http://www.gomoos.org/buoy/satellite.html
BI106 material
• http://www.ndbc.noaa.gov/educate/educate.shtml