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 erosion Shipping

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.Vehicles 1.Ships 2.Submersibles

A. Satellites

Chlorophyll

Sea surface temperature anomalies – latitude/temperature anomalies

True color imagery

B. Cabled seafloor observatory

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

C. Land based radar

time/archiveviewer_lr.phphttp://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 ata/FS_km14nat00.gif

SST: egions/bigbight/sst/noaa/2006/img/ n12.jpg

Chlorophyll /regions/bigbight/chlor/fy1d/2006/img/ fyd.jpghttp://marine.rutgers.edu/cool/show/?file=.. /regions/bigbight/chlor/fy1d/2006/img/ fyd.jpg

Salinity Ocean salinity rth/Water/images/salinity_big_gif_image.ht ml rth/Water/images/salinity_big_gif_image.ht ml

Questions that combine data sets How do winds influence chlorophyll – plankton? Compare salinity data and temperature data

End

Mid-Atlantic Bight

Ocean salinity rth/Water/images/salinity_big_gif_image.ht ml rth/Water/images/salinity_big_gif_image.ht ml

Sea surface salinity m/mab.htmlhttp://www7320.nrlssc.navy.mil/global_nco m/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

BI106 material e.shtmlhttp:// e.shtml