OOI-OSSE09 - MIT Home Page

MIT-MSEAS
P.F.J. Lermusiaux, P.J. Haley, Jr.,
W.G. Leslie, O. Logutov, J. Xu

MIT-LAMSS
H. Schmidt, A. Balasuriya,
M. Benjamin, S. Petillo,
W.G. Leslie

UMASS-Dartmouth
A. Gangopadhyay, A. Schmidt

Experiment Description
Real-time Forecasts and Analyses
OOI-OSSE09 Information
Modeling and Data Links
MOOS-IvP Vehicle Behaviors
OOI Links
MIT Contacts
Additional Links

 

This research is sponsored by the
National Science Foundation.


OSSE Architecture, Experiment Area

Collaborators: O. Schofield, M. Meisinger, S. Chien, Y. Chao, D. Thompson, S. Glenn, R. Signell and J. Wilkin


OSSE Experiment

An Observing System Simulation Experiment (OSSE) is being conducted to test the capabilities of the National Science Foundation Ocean Observatory Initiative (OOI) CyberInfrastructure (CI) distributed ocean observing networks in the Mid-Atlantic Bight. The goal is to provide a real oceanographic test bed in which the CI 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. The NOAA MarCOOS, DoD ESPRESSO, and DHS Mid-Atlantic assets will be utilized to provide a test-bed in which to assess the CI capabilities before OOI field assets are deployed in the ocean. Additionally this effort is particularly important for allowing the wider science community to use the evolving OOI CI, allowing them to provide critical feedback during its spiral development cycles of the OOI CI.

The MIT Laboratory for Autonomous Marine Sensing Systems (LAMSS) and Multidiscplinary Simulation, Estimation, and Assimilation Systems (MSEAS) groups will support the OSSE through the integration of MOOSDB and MOOS-IvP components, behaviors and autonomous platform systems with ocean modeling and forecasting, data assimilation and uncertainty estimation, and adaptive sampling. The MIT-MSEAS group and UMASS-Dartmouth group work together on the ocean modeling component of the OSSE. They utilize the MSEAS system, with its new free-surface and two-way nested primitive-equation code (an upgraded version of the Harvard primitive-equation), forced by new barotropic tidal current estimates. The integrated OSSE prototype has been developed in a simulator environment which allows for the testing of glider and AUV parameters in the MSEAS simulated ocean conditions. Selected configurable MOOS-IvP behaviors will be provided suitable for adaptive observations in OSSE scenarios utilizing available real-time numerical model output and CASPER execution. The MSEAS web site for the OOI program can be found here.

For a more complete description of the OSSE experiment, see this Rutgers site or this OOI site.

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OOI-OSSE09 - November 2009

Real-Time Estimates of Present (13 November 1800Z/1300EST) Environmental Conditions in and around the OOI OSSE09 Domain
0m Temperature 0m Salinity 30m Temperature 30m Salinity 0-200 Velocity Ave. MAB 0-200 Velocity Ave.
MAB Domain
0m Temperature
MAB Domain
0m Salinity
Section Location Temperature Section Salinity Section Velocity Section

Nowcast, Forecast and Data Products Analyses and Forecasts Issued on
November
01 03 04 05 06 07 08 09 10 11 12 13 20
Ocean Physics MIT-MSEAS X X X X X X X X X X X X  
NetCDF Files X X X X X X X X X X X X  
Animations X
UMass-Dartmouth
Mid-Atlantic Zoom
Web
OpenDAP File Access
Vehicles

Behaviors

Test Plan

Gliders Data X X X X X X X X X X X X X
IVERS AUVs Data       X                  
Mission                          
REMUS AUVs Data                          
Mission                          
Daily Reports: Physics and Adaptive Sampling               X          

MSEAS Barotropic Tidal Predictions

Barotropic tidal estimates are obtained from the solution of shallow water equations over high resolution bathymetry. The computational code is described in Logutov (2008) and Logutov and Lermusiaux (2008). More information on the barotropic tidal calculations can be found on our tidal web page.

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OOI-OSSE09 Information

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Additional Model and Data Providers


OOI Links

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MIT Contacts


Additional Links


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