ioos glidermeeting maracoos final
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7/31/2019 IOOS GliderMeeting MARACOOS Final
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CapeCod
CapeHatteras
NJ
MACT
VA
DE
NY
NC
RI
MD
PA10 States
111 Congressional Districts
¼ U.S. Population
MIDDLE
ATLANTIC
REGIONAL
ASSOCIATIO
N
COASTAL
OCEAN
OBSERVING
SYSTEM
1000 kmCape to Cape
To seek, discover and apply new knowledge &understanding of our coastal ocean
To seek, discover and apply new knowledge & understanding of our coastal ocean
MARACOOS 2011-2016:From Observations to
Forecasts
Scott Glenn, Carolyn Thoroughgood,
Larry Atkinson, Bill Boicourt, Wendell Brown
Plus >40 Additional Co-PI’s from >20 Institutions
Today’s Themes: 1) MARACOOS Approach
2) History of Glider Activities 3) Operational Environment
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MARACOOS Approach
I O O
S S u b s y s t e m s
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SST Difference
SPoRT + RTG SST MARACOOS
Declouded SST
Satellite Data Acquisition Network - Since 1992
Plankton
Blooms
River
Plumes
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4
HF Radar Network - Since 1996
Mid-Atlantic HF Radar Network14 Long-Range CODARs7 Medium-Range CODARs
15 Short-Range CODARs36 Total
Triple Nested & Multistatic
Dual-Use:1) Surface Current Mapping2) Vessel Tracking
1000 km
Alongshore
Length Scale
Corporate Partner – CODAR Ocean Sensors
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Autonomous UnderwaterGliders - Since 1998
Since 2003: >270 Missions
Deployments by Year Since 2005
Year Number Distance (km) Days
2012 19 5054.31 290.3
2011 37 11975.53 624
2010 46 17003.36 876.6
2009 30 18114.34 761.12008 28 16642.28 604.7
2007 27 10277.99 462.9
2006 38 9745.88 538
2005 16 4113.87 207.1
Totals 241 92927.56 4364.8Corporate Partner – Teledyne Webb Research
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Mid-Atlantic Glider Deployments: 2005 to Present
MARACOOS
MURI
Intl. Missions
EPA & NJDEPCblast
Endurance
OSSE
SW06 Endurance
Since 2005: 149 Mid-Atlantic deployments totaling 52,187 km over 2628 days
>270 Missions
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MARACOOSLeveraged
DMAC Activities
IOOS Asset Maps
NSF OOI Cyber Infrastructure
Implementing Organization
DHS Maritime
Domain
Awareness
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Forecast Model Comparison with Subsurface Glider Data: Salinity
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Two example validation
data sets: Glider RU21
and NOAA ECOMON
ship survey CTDs
In Taylor diagrams, distance from OBS
to MODEL (green dashed contours)
depicts centered (bias removed) root
mean squared error RMSE’ normalized
by observation standard deviation.
BIAS is tabulated separately in order of
decreasing skill.
Comparison is for all operational
models that include Mid-Atlantic Bight.
Global: HyCOM, NCOM, Mercator
Regional: NYHOPS, ESPreSSO,
UMassHOPS. COAWST
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Multiscale Forecast Validation Glider data (t, s) assimilation
Independent Glider (UD134) data at 25-m for (a) temperature and (b) salinity, compared to
the SMAST-HOPS 02 Nov 2009 runs. Only RU05, RU21 and RU23 data were assimilated
(UD134 was not) during the first week. Glider data are shown with blue the model run withglider assimilation is shown with a red solid line, and the model run with no glider
assimilation is shown with a dashed red line. Note the difference between assimilation and
non-assimilation runs for temperature is about 2°C; while that for salinity is about 0.4 psu.
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OOI Glider Adaptive Sampling based on Ensemble of Ocean Forecasts
Ensemble of 4 Forecasts Model-Data Profile Comparisons
Forecast Currents determine Glider Range Gliders Retasked based on Objectives
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To seek, discover & applynew knowledge &
understandingof our coastal ocean
Satellites HF-Radar
OceanForecastEnsemble
WeatherStations
PopulationDensity
Gliders
Drifters
Proposed Future Regional Glider Sampling
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Vessels -
Satellite
Satellite
Ships/ Vessels
REMUS
Modeling
Leadership
CODAR
Glider
Data Vis.
Security
Education
CODAR Network Glider FleetSatellite Data Acquisition Stations 3-D Forecasts
MARACOOS Operations CenterRutgers University - Coastal Ocean Observation Lab
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62 Moorings
7 Ships
1 Aircraft
10 Gliders
>12 Satellites
3 Ground-
stations
48 Senior
PI’s & PM’s
HiSeasNetONR Shallow Water 2006 Joint Experiment
O S
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62 Moorings
7 Ships
1 Aircraft
10 Gliders
>12 Satellites
3 Ground-
stations
48 Senior
PI’s & PM’s
HiSeasNetONR Shallow Water 2006 Joint Experiment
17 Deployments
>6,500 km
>50,000 CTD Profiles
365 Glider Days
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Deepwater Horizon Oil Spill: Coordinated Rapid ResponseContributed Assets:
HF Radar NetworksUSF, USM
Gliders
iRobot, Mote, Rutgers,SIO, UDel, USF, Navy
Drifters & ProfilersHorizon Marine, Navy
Satellite ImageryCSTARS, UDel, Rutgers
Ocean ForecastsNavy, NCSU
Data/Web Services
ASA, Rutgers, SIO
Tropical Storm Bonnie crosses the Gulf of Mexico
USM HFR
USF HFR
TS Bonnie
USM HFR validation of SABGOM Forecastin region with satellite detected oil slicks
HFR & Glider Data used for Oil SlickForecasts by NOAA/NOS/OR&R
St R h
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Hurricane Irene
August 26, 2011
http://maracoos.org
Storm ResearchIn the Mid-Atlantic:
Hurricane IreneApproaches the
MARACOOS Network
T Glid
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Two GlidersDeployed by MARACOOS
in Hurricane Irene
RU16
• Deployed for EPA.
• Map bottom dissolved
oxygen.
• Provided data on
mixing during storm.
RU23
• Deployed for MARACOOS.
• Map subsurface T/S
structure for fisheries.• Damaged early - drifter
• Recovered by fisherman
• Provided data on inertial
currents during storm.
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14
33
29
105
60
salinity
% oxygen
temperature55
55
0
0
55
d e p t h
d e p t h
d e p t h
8/12 9/07date
260
Hurricane IreneHurricane Irene
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Temp. Vert. Vel. Temp. Vert. Vel. Temp. Vert. Vel.
RU16
Temp.
Section
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For Each 2-hour Segment:
1) Calculate the Average
Temperature Profile
2) Calculate the Vertical Velocity
Standard Deviation Profile andSmooth Vertically.
Pre-Irene During Irene Post-Irene
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Time History of Mixing During Irene:
Profiles of the Standard Deviation
Vertical Velocity Profile
Time Progresses from Red to Blue
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Time History of Mixing During Irene:
Profiles of the Standard Deviation
Vertical Velocity Profile
Time Progresses from Red to Blue
Eddy viscosity
Linear
Linear * Exponential Decay
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Glider RU16
Thermocline Depth
Surface Temp
Max S.D. w’
Max S.D. w’ Depth
Glider , CODAR &
Calculated Bottom Currents
NDBC WavesBottom Orbital Velocity
NDBC Winds
MARACOOS Network Observations:Hurricane Irene
WRF M d l R SST U d t
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27/120028/0600 28/060029/0600
WRF Model Run: SST Update
Regional Observatory
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Regional Observatory – Mid-Atlantic Bight
Remote Observatory - Antarctic Global Observatory
GLIDER-ENABLED TEAM-BASED
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GLIDER-ENABLED TEAM-BASEDRESEARCH APPRENTICESHIPS
Course Mechanics :1) Marine Science Major requires 6 credits of Research.
2) Ocean Observatories course is 1.5 credits –one 80-
minute class period per week.3) Students can sign up multiple times.
What we (the teachers) do :1) Mentorship Model – Cognitive Apprenticeship –
Experiential Watch One -> Do One -> Teach One
(Observer -> Worker -> Mentor)
2) Grand Challenges can only be achieved through sustained teamwork – research now bridges semesters
and summers.
3) We do not fear failure – Undergraduate Education is a
time for exploration and risk-taking.
What the students do :
1) Divide into research teams led by a mentor (teach one),and consisting of a few workers (do one) and a few
observers (watch one).
2) Propose and conduct a team research project based on
ocean observatory data.
3) Communicate results through blogs and presentations .
Formative Assessment
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Mentors
Ocean Observatories Research Course
G
L
OB
A
L
R
E
M
O
T
E
R
E
G
IO
N
A
L
Workers
Observers
Mentors
Workers
Observers
Ocean
Observatories
Repeat Students
3-6 Times
Repeat Students
1-3 Times
Freshman
Oceanography
House
Oceans 101
Freshman
Seminar
Full ClassLogistics & Info
Sharing
Skills BuildingBackgroundDiscussions
TeamProjects
Feeder Courses
COSEE Network
OOI EPE Tools
Formative Assessment –
Continuous Re-evaluation and Redesign of:
Dark blue are the students in the light blue course
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Summative Assessment – Did we have an impact?
0
10
20
30
40
50
60
70
80
2006 2007 2008 2009 2010 2011 2012 2013
#
o f S t u d e n t s
Years
Ocean Observatories Course
Number of Marine Science MajorsSpring 2012 Course: >70 Students
Increase in Number &
Scope of ResearchInternships
Locations: Australia, Antarctica,
Svalbard, Spain, Canaries, Azores,
California, Florida, New Jersey
Sponsors: NSF, DHS, Alumni
Trans-Atlantic
Glider
Challenge
FAQ: Is it expandable?
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FAQ: Is it expandable?
Companion Course at
Plataforma Oceanica de Canarias
• Shared Glider Missions – Iceland to
Azores to Canaries to Cape Verde to Brazil
• Skype Sessions between classes
• Two-way International Exchange programs
• Students Learn Science from their teachers, culture from their peers.
• Students Learn Culture from their peers
A National Glider Network Will:
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A National Glider Network Will:
1) Enable Pooling of Technical Expertise2) Enable Sharing of Cyber Development
3) Collaboratively Address National Issues4) Invigorate a Global Glider Network5) Provide Educational Opportunities