Lecture 22 deployment strategies for different optical sampling platforms mobile platforms aka alps
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Lecture 22 : Deployment strategies for different optical sampling platforms: mobile platforms (AKA “ALPS). What are mobile platforms? Why use them? Some case studies! ALPS report, Rudnick and Perry (2003), http://www.geo-prose.com/ALPS/alps_rpt_12.16.03.pdf

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What are mobile platforms? Why use them? Some case studies!

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Lecture 22 deployment strategies for different optical sampling platforms mobile platforms aka alps

Lecture 22: Deployment strategies for different optical sampling platforms: mobile platforms (AKA “ALPS)

What are mobile platforms?

Why use them?

Some case studies!

ALPS report, Rudnick and Perry (2003), http://www.geo-prose.com/ALPS/alps_rpt_12.16.03.pdf

Special Issue of L&O (2008) on science from mobile platforms


What are mobile platforms why use them some case studies

What are mobile platforms?*Autonomous, mobile platforms without tether to ship or land; include surface drifters, profiling floats, AUVs, gliders* Sensors – small, robust, often low-power – measure water column physics, optics, biology, chemistry and sea floor properties* Wireless communication – two-way* Networks of sensing systemsWhy use them?* Sampling is the central observational problem in oceanography* Wide range of scales requires “scalable”observational systems * Global questions require observational systems to be “long-lived”* Intermittent and regional questions require observational systems to be “portable”


Surface drifter near surface good for rrs go with flow more susceptible to biofouling

Surface drifter – (near) surface; good for Rrs; go with flow; more susceptible to biofouling

Biofouling; Abbott ratio 683/555 as indicator of biofouling; why?

No optics in Surface Velocity Drifter Programme –lost opportunity?

Succession of sensors (plastic pouch & bolt cutting)?


What are mobile platforms why use them some case studies

Floats – go with the flow; can park at depth to minimize biofouling ; “lite” models to pick-up truck size; weeks to years

Mitchell, Solo float

spring bloom, Sea of Japan, 3-channel Ed –> Kd 490

How would biofouling affect Kd?


Bishop beam c carbon explorer so ocean fe fertilization

Bishop– beam c (Carbon Explorer)So. Ocean Fe fertilization

How would you verifythat c ~ POC?


Boss argo float in labrador sea b b and chl f

Boss – ARGO float in Labrador Sea: bb and chl F


Argo oxygen white paper http www imber info c wg html model for bio float array

ARGO oxygen white paper: http://www.imber.info/C_WG.htmlModel for bio-float array ?


Checkley solopc optical plankton counter on solo float

Checkley – SOLOPC optical plankton counter on SOLO float

~ 100 m – 10 mm

large cells, zooplankton, flocs

very different particle size structure on float vs. CTD mounted

––> role of aggregates in ocean dynamics

diel patterns


What are mobile platforms why use them some case studies

Gliders – lowest payload but long duration (to 7 months); add more sensors, increase drag,decrease mission length; goes slowly (neither Eulerian nor Langragian)

climatology of

deep chl max


Rutgers cool room http marine rutgers edu coolroom

Rutgers Cool Room <http://marine.rutgers.edu/coolroom>

New Jersey coast: beam c and bb

to identify nephloid layers


Auv some very large heavy payload but short duration goes where you want

AUVsome very large; heavy payload but short duration; goes where you want

Moline: Repeat transects of bioluminescence potential off

California with three time scales: A) months B) week C) day


Kirkpatrick breve buster

Kirkpatrick – Breve buster


What are mobile platforms why use them some case studies

Floats + gliders – multiple spatial scales, redundancy of sensors Floats – Ed, Lu, ISUS nitrate, beam c, bb, chl F, T, S, O2Gliders – T, S, O2, chl F, 2 bb


What are mobile platforms why use them some case studies

Future needs* New platforms - hybrid glider/AUV, large recoverable floats, small water-following floats* New and smaller sensors – more variables (turbulence, nutrients, trace metals, dissolved gases, molecular sensing, zooplankton)– redundancy of variables– ability to go deeper (avoid biofoul; deep water “val”)* Adaptive sampling and control; multiple platforms* Improved communications – cheaper* Biofouling and internal calibration* Water sampling – for unique samples and validation* Greater accessibility


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