Gliderpalooza 2013 to Modelpalooza 2014: Joint US & Canadian Ocean Glider Operations Supporting...

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  • 8/10/2019 Gliderpalooza 2013 to Modelpalooza 2014: Joint US & Canadian Ocean Glider Operations Supporting Multidisciplinary Scientific Research and Education

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    Mike Crowleycrowley@Rutgers.edu

    Mike Crowley, Scott Glenn,

    Oscar Schofield, Fred Whorisky and many,

    many, many more

    Crowley@rutgers.edu

    Gliderpalooza 2013 to Modelpalooza 2014: Joint

    US & Canadian Ocean Glider Operations

    Supporting Multidisciplinary Scientific Research

    and Education

    SinceJuly 26, 1999

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    Mike Crowleycrowley@Rutgers.edu

    To seek, discover & applynew knowledge &

    understanding

    of our coastal ocean

    Satellites HF-Radar

    Ocean Forecast

    Ensemble

    Weather

    Stations

    Population Density

    Gliders Drifters

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    Mike Crowleycrowley@Rutgers.edu

    2013 Gliderpalooza Partners & Funders

    A true grass-rootseffort: 14 gliders, 2.5 months, 17 deployments

    OTN200

    OTN201

    Penobscot

    Modena

    Salacia

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    Mike Crowleycrowley@Rutgers.edu

    !"#$%&'("))*( ,-./0 1) 2345 2)&% 65(7 8"#$%&9

    1. Provide a unique data set tomodelers

    2.

    Provide standardized dataseta over ecological scales and

    information on fish/mammalmigrations

    3. Provide a 3-D snapshot of the

    MAB cold pool

    4.

    Provide an extensivedistributed network through the

    peak period of fall storms,demonstrating "surge" capacity

    5. Demonstration of a nationalglider network

    6.

    Proof of data flow throughIOOS to NDBC via DMAC

    7. Engage undergraduates in

    ocean observing efforts.

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    Mike Crowleycrowley@Rutgers.edu

    Goal 1: Unique dataset for modelers

    Observed (left) and ROMS ESPRESSO model (right) temperature (top) and salinity(bottom) following glider BLUE. Inset shows the glider path. In deep waters acolumn of relatively warm water delineates the offshore limit of the Cold Pool.

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    Mike Crowleycrowley@Rutgers.edu

    Goal 2: Fish/Mammal Migrations

    Vemco receiversdeployed on 9 of 16

    gliders

    Key Species: Right

    Whales, tiger sharks,

    Atlantic sturgeon, AtlanticSalmon

    Data will be organized byOTN

    Deployments to date

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    Mike Crowleycrowley@Rutgers.edu

    Goal 2: Fish/Mammal Migrations Continued

    Vemco receivers detected16 animals

    Species: Blue Shark andAtlantic Sturgeon.

    Deployments to date

    !&)3' !"#$%& :(2% 1'%4#%9 ;

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    Mike Crowleycrowley@Rutgers.edu

    Conclusion: The ocean moves!

    =

    Approach:

    Use thermal niche model + temperature hindcasts~ estimate habitat distribution in NW Atlantic

    Goal 2: Fish/Mammal Migrations Continued

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    Mike Crowleycrowley@Rutgers.edu

    Goal 3: 3D Snapshot of Coldpool

    Observed and modeled temperature and salinity followingthe trajectory of glider RU23

    Espresso BottomTemps

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    Mike Crowleycrowley@Rutgers.edu

    Goal 4: Fall Mixing Storms

    2013 will serve as a

    baseline for a calm

    season

    CINAR funding for

    2014 & 2015 focusedon severe Tropical &

    Winter storms

    CINAR Observations:

    Rapid profiler drifters,

    storm gliders and rapid-deployable buoys

    CINAR Models: nested

    ROMS & FVCOM

    2013 Tropical Storms

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    Mike Crowleycrowley@Rutgers.edu

    Goal 5: Demo of National Glider Network

    Persistence allows

    climate studies, modelassimilation and for

    event sampling

    Gliderpalooza is an

    example of surge

    capacity on east coast

    A test case for a future

    international

    collaboration?

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    Mike Crowleycrowley@Rutgers.edu

    Goal 6: Data Flow from IOOS to GTS

    Data flow through as

    defined in the upcoming

    National Glider Network

    Plan

    Operators to shore stationto DAC to world

    Successful transfer to

    GTS!

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    Mike Crowleycrowley@Rutgers.edu

    Goal 7: Undergraduate Education

    Using data from U.S. IOOS

    gliders in NSF OOI EPE tools

    for undergraduate education

    in the fall of 2013

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    Mike Crowleycrowley@Rutgers.edu

    Gliderpalooza Press

    Numerous articles in the press

    Oct 10 NY Times, Discovery,

    CNN on 3 glider deployment(Navy1, Navy2, RU23)

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    Mike Crowleycrowley@Rutgers.edu

    !BC

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    Mike Crowleycrowley@Rutgers.edu

    2014 Gliderpalooza Schedule

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    Mike Crowleycrowley@Rutgers.edu

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    2014 Gliderpalooza Partners

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    Mike Crowleycrowley@Rutgers.edu

    Current Deployments: 8

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    Mike Crowleycrowley@Rutgers.edu

    Memorial (2), Pioneer (1-2), Teledyne (2), Rutgers (2), Navy (2), U. Del., WHOI, Skidaway, Texas A&M,

    Deployments This Week: ~13

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    OJD >G

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    Mike Crowleycrowley@Rutgers.edu

    Gliderpalooza Science:Ensemble of Modeling Studies

    M d l B tt T t I t f Glid

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    Mike Crowleycrowley@Rutgers.edu

    Model Bottom Temperature Improvements from GliderAssimilation (ROMS ESPRESSO)

    No Assim

    Assimilation

    Difference

    Sept. 2013 Oct. 2013 Nov. 2013

    Note that models typically overestimate bottom temps in shallow regions. This holds true for most models globally (eg. Brazil coast RTOFS)

    M d l B tt T t I t f Glid

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    Mike Crowleycrowley@Rutgers.edu

    Model Bottom Temperature Improvements from GliderAssimilation (ROMS ESPRESSO)

    Note that models typically overestimate bottom temps in shallow regions. This holds true for most models globally (eg. Brazil coast RTOFS)

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    Mike Crowleycrowley@Rutgers.edu

    "8.)5F)( E'()1 F. A1B()5 GBH)5)-+).I;).21*. J5'K 2-()5?54( .2KK)5 5).)45+3L

    Most variation between the two models and RU29 exist within the first 300 meters of the watercolumn

    MyOcean model has a fairly consistent 1C to 2C difference in temperature from RU29 RTOFS model was fairly consistent with the RU29 data at lower depths but had very large

    discrepancies in magnitude at certain locations.

    C

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    Mike Crowleycrowley@Rutgers.edu

    Conclusions

    Leveraging numerous programs for the good of all

    Building a research community

    Enabling availability of new datasets to global models

    Improving models through assimilation and validation

    especially along bottom in shallow water

    The ocean moves!

    A k l d

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    Mike Crowleycrowley@Rutgers.edu

    Co-Conspirators

    J. Kerfoot, C. Haldeman, D. Aragon, T. Haskins, T. Miles, S. Lichtenwalner, M. Mills, G. Saba, J.

    Wilkin, A. Comeau, R. Davis, J. Pye, N. Beauchamp, S. Default, K. Morton, N. Fisher, M. Neary, N.

    Pettigrew, L. St. Laurent, J. Reilly, K. Decoteau, C. Jones, C. DeCollibus, B. Allsup, C. Jacubiak, J.Kohut, N. Strandskov, M. Breece, M. Oliver, D. Haulsee, G. Kuska, W. Boicourt, D. Gong, D. Wang,R. He, W. Woods, C. Edwards and the U.S. Navy Team headed by C. Szczechowski, B. Kirkpatrick,C. Lembke, M. Howard, S. DiMarco, S. Howden, K. Martin, R. Curry, M. Baumgartner, B. DeYoung,

    J. Paulter, R. Bachmayer

    Funding:

    IOOS (MARACOOS & SECOORA), Ocean Tracking Network, NJ DEP, EPA, Univ.

    Delaware, NASA, ONR, OTN, Univ. Maine, College of William and Mary, Univ. ofGeorgia, Teledyne Webb, NMFS and the U.S. Navy.

    Acknowledgements

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    Mike Crowleycrowley@Rutgers.edu

    Data from Gliderpalooza are available at: http://assets.maracoos.org/- MARACOOS asset Map, Glider tracks and

    data cross sections , model data, SST, ocean color, HF-RADAR,atmospheric data, drifters, buoy data, etc

    http://gliders.oceantrack.org/- Ocean Tracking Network Glider Page

    http://www.ndbc.noaa.gov/gliders.php- NDBC glider Page http://marine.rutgers.edu/cool/auvs/- Rutgers Glider site

    Work hard.

    Have fun.

    Change the world.

    -

    Doug Webb

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    Mike Crowleycrowley@Rutgers.edu

    G GQ # C #S S

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    Mike Crowley

    G4%(7 GQ9%&R(6)%9 C7#S(SR%

    Manish Parashar, Scott Glenn, OscarSchofield, Mike Crowley, Ivan Rodero,

    Maxwell Chen, Sage Lichtenwalner, MikeMills, Steve Levenson, John Kerfoot

    Rutgers University

    Luke Campbell, Dan Maher, Guy

    deWardener and many othersThe University of Maine

    Leslie SmithConsortium for Ocean Leadership

    ATQ%U&(96&3463&% O%(2