Bloomcast - Python Facilitating Operational Oceanography (Doug Latornell)

Bloomcast is a daily prediction of the beginning of the aquatic growing season in the Strait of Georgia. Python makes it possible by collecting meteorological and river flow data, running a Fortran code, analyzing its results, and publishing the prediction to the web - all while I sleep.

Transcript

1. Bloomcast:
   Python Facilitating
   Operational Oceanography
   Doug Latornell
   @djlatornell
   Dept of Earth, Ocean & Atmospheric Sciences
   University of British Columbia
   

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2. Operational Oceanography ???
   

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3. Operational Meteorology
   Weather Forecasts
   

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4. ● Run Daily-ish
   ● Driven by Most Current
   Available Real-World Data
   Operational Model:
   

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5. Bloomcast:
   Python Facilitating
   Operational Oceanography
   

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6. Bloomcast ???
   

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7. ● Run SOG Model Daily
   ● Forced by Weather and River
   Flows
   ● Predict Date of 1st Spring
   Phytoplankton Bloom in the
   Strait of Georgia
   Bloomcast:
   

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9. http://www.fields.utoronto.ca/video-archive/static/2013/06/166-1777/mergedvideo.ogv
   

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11. Bloomcast:
    Python Facilitating
    Operational Oceanography
    

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12. Python !!!
    

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13. FORTRAN codes are the idiot
    savants of the modern software
    world
    SOG is in FORTRAN
    

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14. SOG
    YAML
    Requests
    ElementTree BeatifulSoup
    Logging
    (SMTP Handler)
    Colander
    Subprocess NumPy
    Matplotlib Mako
    cron rsync
    

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15. SOG
    YAML
    Requests
    ElementTree BeatifulSoup
    Logging
    (SMTP Handler)
    Colander
    Subprocess NumPy
    Matplotlib Mako
    cron rsync
    

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16. Requests
    

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17. SOG
    YAML
    Requests
    ElementTree BeatifulSoup
    Logging
    (SMTP Handler)
    Colander
    Subprocess NumPy
    Matplotlib Mako
    cron rsync
    

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18. SOG
    YAML
    Requests
    ElementTree BeatifulSoup
    Logging
    (SMTP Handler)
    Colander
    Subprocess NumPy
    Matplotlib Mako
    cron rsync
    

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19. http://www.eos.ubc.ca/~sallen/SoG-bloomcast/results.html
    

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20. 2013 was bloomcast’s 2nd year in
    production
    2012:
    ● Cloud fraction interpolation problem
    ● Bloom date agreed with satellite and cruise
    chlorophyll data
    2013:
    ● New Cloud fraction interpolation algorithm (thanks
    to Requests and NumPy)
    ● Bloom date agreed with satellite and chlorophyll
    data from an instrumented ferry
    

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21. Future:
    ● Operational deployment of SOG to do
    daily calculation of productivity in Strait
    of Georgia year-round
    ● SOG in the Gulf of St. Lawrence
    ○ GSL-bloomcast, GSL-productivity ??
    ● Bloomcast 2014 and onward
    

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22. Allen, S.E. and M.A. Wolfe.
    Hindcast of the timing of the spring phytoplankton bloom in the Strait of Georgia,
    1968-2010.
    Progress in Oceanography. Volume 115, Pages 6-13, 2013.
    http://dx.doi.org/10.1016/j.pocean.2013.05.026
    Collins, A.K., S.E. Allen, and R. Pawlowicz.
    The role of wind in determining the timing of the spring bloom in the Strait of
    Georgia.
    Canadian Journal of Fisheries and Aquatic Sciences, Volume 66, Pages 1597-1616,
    2009.
    http://www.nrcresearchpress.com/doi/abs/10.1139/f09-071
    J.R. Irvine, J.R., W.R. Crawford.
    State of physical, biological, and selected fishery resources of Pacific Canadian
    marine ecosystems in 2012.
    Fisheries and Ocean Canada Research Document - 2013/032.
    http://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-
    DocRech/2013/2013_032-eng.html
    

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23. SOG
    YAML
    Requests
    ElementTree BeatifulSoup
    Logging
    (SMTP Handler)
    Colander
    Subprocess NumPy
    Matplotlib Mako
    cron rsync
    

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