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Title: Rutgers UniversityGliders and GOES risk


1
Rutgers University-Gliders and GOES risk reduction
Oscar Schofield Scott Glenn
Coastal Ocean Observation Lab Josh Kohut
Operations Center Hugh Roarty, John Kerfoot,
Chip Haldeman, and David Aragon Glider
Hardware, Software
Field Ops Mark Moline Ian Roberts California
Polytechnic State University
2
Slocum Electric Glider

Science Bay Specs. Length 30 cm Diameter 21.3
cm Max. Payload Weight 4 kg
Glider Specs. Length 1.5 m Hull Diameter 21.3
cm Weight 52 kg
3
Communication
Each glider is equipped with two bi-directional
communication links, located in the tail.
FREEWAVE A high frequency radio (RF)
communication link (Freewave Technologies) allows
for high speed, line of sight data transmission
and a repeater can be used to increase the
distances of communication IRIDIUM Satellite
telephone link (Iridium Satellite LLC) also
provides global communication coverage.
ARGOS ARGOS transmitter is also located in the
tail and broadcasts GPS coordinates to locate the
glider in case of an emergency.
-CAN WE GET THE SHIP GPS POSITIONS?
4
Example of Glider Data Flow Path (MIREM)
-Data plotted in real-time, data can be pushed
out in real-time -Coordinates can be adjusted on
the fly by the team
perf. pred.
IOP data
raw data
MEDAL
retask command
IOP data
perf. pred.
(with HM-14)
retask coordinates
METRON Display
5
WetLabs Pucks CTD
6
The optical sensors for GOES-CA
7
ADVANTAGE IS COLLECTING DATA DURING ALL CONDITIONS
8
Vicarious calibration backscattering
attenuation
Attenuation (particulate dissolved)
Backscatter (particles)
VP
glider
ln(S1/S2)0.88 0.28
9
SUBSURFACE SPATIAL MAPS ANCHORED BY AUVs
10
NJSOS Endurance Line Fall 2003 - Present
KILOMETERS FLOWN 8615 GLIDER DAYS 689
11
NJSOS Optical Backscatter Cross-Sections
110
12
Deployment (1) 09/05-10/03 One Glider outfitted
with CTD SAM, ship calibration data
Deployment (2) 10/06 -10/15 Two
Gliders outfitted with CTD SAM
ftp//marine.rutgers.edu/pub/cool/glider/cblast_20
05/
"John Kerfoot" ltkerfoot_at_imcs.marine.rutgers.edugt
13
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14
Density
1)
3)
2)
4)
15
Chlorophyll fluorescence
3)
1)
2)
4)
16
Backscatter
3)
1)
4)
2)
17
Bbp (660)/Bbp(532)
1)
3)
2)
4)
-We are very interested in combining this data
with the ship discrete measurements to develop
new products.
18
Deployment (1) 09/05-10/03 One Glider outfitted
with CTD SAM, ship calibration data
Deployment (2) 10/06 -10/15 Two
Gliders outfitted with CTD SAM
ftp//marine.rutgers.edu/pub/cool/glider/cblast_20
05/
"John Kerfoot" ltkerfoot_at_imcs.marine.rutgers.edugt
19
Glider SAM 09/06-10/03 attenuation
wind speed (m s-1)
Ophelia
20
Glider SAM 09/06-10/03 bulk particulate
refractive index
np11.671(bbp650/bp650)0.582 Twardowski et al.
2001
21
Glider SAM 09/06-10/03 bulk particle density
rho(np-1.03)/0.151.1 Twardowski et al. 2004
22
MONTEREY WILL BE THE THIRD GLIDERS SITE
Data from Wednesday 500 PM
Hawaii Pacific Missile Test Range
NJ Nonlinear Wave Experiment
23
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24
Darwins Odyssey January 11, 2006
25
Oct. 03
Jun. 04
Mar. 04
Mar. 04
Jul. 04
Nov. 03
Apr. 04
Aug. 04
Nov. 03
Sep. 04
Dec. 03
Apr. 04
Sep. 04
Jan. 04
May. 04
Jan. 04
May. 04
Sep. 04
Feb. 04
Jun. 04
Oct. 04
Feb. 04
Jun. 04
26
Future steps? New sensors
Fluorescence kinetics Photosynthetic rates,
quantum yields Is the nepheloid layers dominated
by living material?
Radiant light field Underwater visibility
models What can we see?
Above water measurements Air-sea temp.
diffrence, radiant heating, e
27
Mail box 2 Thinking using its own data
Future steps? Flight Smart Automated
-Using agent oriented programming make Glider
fleets smart by optimizing on their sampling
based on what data is delivered from the
observatory.
Mail box 3 Thinking using other real-time data
28
Needs? Better Eyesight! Algorithms to derive
proxies to feed models Are nepheloid layers
dominated by the minerogenics? By organics?
A) Salinity
B) bb(650) (m-1)
D) bb(650) / c(650)
C) c(650) (m-1)
Hudson River plume
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