National Science Foundation Ocean Observing Initiative Cyber Infrastructure Implementing Organizatio

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National Science FoundationOcean Observing
InitiativeCyber Infrastructure Implementing
OrganizationObserving System Simulation
Experiment NSF OOI CI IO OSSE
Yi Chao, JPL Oscar Schofield, Rutgers Scott
Glenn, Rutgers (about 30 people)
MACOORA Workshop
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Core CI OSSE Teams

• OurOcean data and model integration portal
• Yi Chao and Peggy Li, JPL
• CASPER/ASPEN mission planning and control
• Steve Chien and David Thompson, JPL
• MOOSDB/MOOS-IvP autonomous vehicle control
• Arjuna Balasuriya, MIT
• Glider Simulator, Environment and Field
  Deployment in Mid-Atlantic Bight
• Oscar Schofield, Rutgers

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CI OSSE in the Mid-Atlantic Bight

• Five real-time forecasting models
• Avijit Gangopadhyay, U. Mass-Dartmouth
• Alan Blumberg, Stevens Institute of Technology
• John Wilkin, Rutgers
• John Warner, USGS/WHOI
• Pierre Lermusiaux, MIT

MARCOOS
MACOORA Workshop
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CI OSSE November 2-13, 2009

• Objective To provide a real oceanographic test
  bed in which the designed CI technologies will
  support field operations of ships and mobile
  platforms, aggregate data from fixed platforms,
  shore-based radars, and satellites and offer
  these data streams to data assimilative forecast
  models.
• Goal To use multi-model forecasts to guide
  glider deployment and coordinate satellite
  observing.

Adaptive Sampling
Two-way interactions between the sensor web and
predictive models.
MACOORA Workshop
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Data/Model Integration Portal http//ourocean.jpl
.nasa.gov/CI
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NAM (12-km) Weather Forecast
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SST Obs.
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Model A
Model B
Model C
Model D
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Observation vs Multi-Model Ensemble
Ensemble Model
SST Obs.
MACOORA Workshop
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Model A
Model B
Model C
Model D
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Observation vs Multi-Model Ensemble
HF Radar Obs
Ensemble Model
MACOORA Workshop
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Hyperion on EO-1 7.5kmx100km (30-m)
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CI OSSE Accomplishments

• A Closed Loop OSSE/OSE
• We integrated in-situ sensors with space-based
  Earth observation system.
• Data gathered locally by a fleet of gliders is
  fed into a real-time assimilative ocean
  forecasting system.
• Model forecasts are used by scientists to command
  the gliders and space craft to optimize the
  spatial coverage over the areas of interests.
• Both data and model forecast are available in
  real-time to aid better decision making.

Adaptive Sampling
Two-way interactions between the sensor web and
predictive models.
MACOORA Workshop
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Steering CommitteeTommy Dickey (co-chair) -
University of California, Santa BarbaraScott
Glenn (co-chair) - Rutgers UniversityJim
Bellingham - Monterey Bay Aquarium Research
InstituteYi Chao - Jet Propulsion Laboratory
and California Institute of TechnologyFred
Duennebier - University of HawaiiAnn Gargett -
Old Dominion UniversityDave Karl - University
of HawaiiLauren Mullineaux - Woods Hole
Oceanographic InstitutionDave Musgrave -
University of AlaskaClare Reimers - Oregon
State UniversityBob Weller (ex officio) - Woods
Hole Oceanographic InstitutionDon Wright -
Virginia Institute of Marine SciencesMark
Zumberge - Scripps Institution of Oceanography
Glenn, S.M. and T.D. Dickey, eds., 2003, SCOTS
Scientific Cabled Observatories for Time Series,
NSF Ocean Observatories Initiative Workshop
Report, Portsmouth, VA., 80 pp.,
www.geoprose.com/projects/scots_rpt.html.
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MARCOOS data increases the explanatory power of
habitat models by as much as 50 NOAA
Fisheries And The Environment
MACOORA Mid Atlantic Cold Pool Sampling
Forecasting for Fisheries
Fisheries Users Fisheries Councils NMFS Commercial
Recreational Glider Ports U Mass Dartmouth SUNY
Stony Brook Rutgers U Delaware U Maryland Naval
Academy U North Carolina Forecast Centers U Mass
Dartmouth Stevens Institute Tech Rutgers MIT USGS
Woods Hole Operations Centers Rutgers NASA JPL
Five X-Shelf Glider Endurance Lines
Subsurface Maps Fisheries Groups
DB
NYH
CB
LIS
Cold Pool (T lt 8C) Dominant Spring-Fall
Subsurface Feature In the MAB
Data Assimilated into Forecast Models
Spring-Fall
OOI CI Tools Model Feedback to Glider Sampling
Combines Infrastructure Expertise from IOOS
MARCOOS, NSF OOI, NOAA NMFS
MACOORA Workshop
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MACOORA Themes MARCOOS Products Cross-cut
MACOORA Workshop