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Observatory Simulation Experiment: Rise of the Machines

Apr 08, 2018

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    CODAR Network Glider FleetL-Band & X-Band SatelliteReceivers 3-D Nowcasts& Forecasts

    Observatory Simulation Experiment: Rise of the MachinesRutgers University - Coastal Ocean Observation Lab

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    Whose who in RU COOL?

    J. Kohut

    Phys/Bio

    J. Wilkin

    Modeling

    R. Chant

    Physics

    M. Gorbunov

    Biology

    O. Schofield

    Biology

    R. Dunk

    Physics

    S. Glenn

    Physics

    J. McDonnell

    Education

    Faculty

    Undergrad & Grad Students

    Gliders SatellitesCODAR

    ModelingCoordinator

    C. Haldeman T. Haskins

    C. Kohut L. Bowers

    E. Handel H. Roarty L. Ojanen

    Education

    S. Lichtenwalner C. Ferraro

    M. Smith E. RiveraK. ColemanD. Aragon

    Software

    J. Kerfoot I. Heifetz E. Hunter

    M. Crowley

    D. Pompili

    Engineer

    U. Kremer

    Comp. Sci.

    D. RobertsonH.Arango

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    Science driven experiments to enables technical development

    For those using or discussing

    gliders

    27 publications since 2005

    Transition in last 3 years from

    technical engineering

    manuscripts to science results

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    The COOL group provides a rich engineering/science

    environmental test-bed that allows for technology

    development locally before being transplanted globally

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    RU-COOL Global Slocum Glider Fleet Deployments

    Fleet Statistics:

    259 Deployments

    3987 In-water days

    93000km flown (2.3 times around the Earth)

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    The Ocean Observatory Initiative (OOI) will develop an interactive

    laboratory integrated by a leading-edge, multi-scalar

    cyberinfrastructure

    Currently in construction phase

    with 5 implementing organizations

    leading large consortia of academic

    partners

    Coastal Global Networks: WHOI & OSU (PI)

    Regional Cable Network: U. Washington (PI)

    Cyberinfrastructure: Scripps (PI)

    Education & Public Engagement: Rutgers (PI)

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    Participating Institutions: Rutgers, MIT,

    Scripps, Wood Hole, NRL, U Mass, U

    Maryland, JPL, WHOI, Cal Poly, U Del,Stevens, OSU, USGS, NOAA, NURC,

    NWS(~125 scientists & engineers)

    To test the software, OOI used an

    existing ocean network. The test

    engaged scientists from across the

    country who used the software to

    enable their science. For OOI, the

    network provided an ideal realworld test

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    OSE (Observatory Simulation Experiment) was

    coordinated in COOL room, blogging, a social portal, and

    daily web-ex telecons

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    9

    Observatory (simulated) data

    Virtual Ocean

    Design, Testing and Deploy

    Models

    Data Assimilation

    Data

    Analysis

    Science Questions & Drivers

    ~100 m

    ~3 km

    Sensor &

    Platform

    Data Synthesis: Nowcast & Data Impact

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    W

    e

    at

    h

    er

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    Multiple Satellite passes

    of varying resolution

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    Model A Model B

    Model C Model D

    An ensemble of different numerical models run by different laborat

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    A fleet of four gliders

    October 30 November20, 2009

    4 Deployments

    (3 Rutgers, 1

    University of

    Delaware)

    77 in-water days

    1608 km flown

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    Science Community Workshop 1 14

    Model A Model B Model C Model D

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    COMBINING THE FIELD ASSETTS WITH OCEAN FORECASTS

    FOR PLANNING AND PROSECUTION EFFORTS

    Known constraints (slow 0.5 knot,

    Battery, shipping lanes) Uncertain constraints (time-varying

    3D currents)

    Operate autonomously & re-plandaily

    From A to B in the shortest time

    Follow a time-varying feature(shelf-slope salinity intrusion)

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    PLANNING FOR THE PRESENT

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    PLANNING IN THE FUTURE

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    Increase model resolution Reduce forecast error

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    Science Community Workshop 1 2020

    ScienceAgents

    Science Event ManagerProcesses alerts and

    Prioritizes response observations

    ASPEN

    Schedules observations on EO-1

    EO-1 Flight Dynamics

    Tracks, orbit, overflights,

    momentum management

    Science

    Alerts

    Observation

    Requests

    Updates to

    onboard plan

    Science

    Campaigns

    Scientists

    Hyperion

    on EO-1

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    Tropical Storm Ida Transition to Extratropical Northeaster (Nor-Ida Storm)

    Nov 10, 2009

    Nov 15, 2009Nov 14, 2009Nov 13, 2009

    Nov 12, 2009Nov 11, 2009

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    Nor-Ida Storm High Frequency Radar Surface Current Mapping

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    Northern Glider Southern Glider

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    Northern Glider Southern Glider

    3-hour Average Relative BackscatterProfiles on a Log-Log Scale Rouse

    Profiles

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    Turbulence levels increase rapidly with

    currents, drop slowly.

    Density stratification mixes away rapidly

    at Southern Glider little influence throughstorm

    Maximum resuspension occurs late in the

    storm

    Alongshore Transport is

    downshelf with storm

    Cross-shore Transport is (a)

    onshore for both gliders during

    peak, and (b) offshore for the

    northern glider after the storm.

    Northern glider is consistent with

    expected downwelling during

    northeaster

    Depth Integrated Results: Northern Glider RU21; Southern Glider RU05

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    To complement the Mid-Atlantic technology test-bed we are working the human

    educational test-bed using undergraduate students on campus