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Modeling WG Agenda

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Agenda

  • Documentation of the various system components (UNC, UM and USF)
  • Robustness – (how to keep the system running in case of power outages, and other technical issues)
  • Need to understand role of SURA-SCOOP vis a vis SEACOOS, grid technologies, etc. SURA-SCOOP to provide help in robustness and computer needs.
  • Skill assessment strategies
    • Doing time series comparisons, correlations, etc.
    • Not doing spatial statistics, or spectra
    • Neural networks (instead of EOFs) – does this suggest where data should be collected so that the model and data structures can be compared?
  • SSRA manuscript
  • Baroclinic analog
    • The need for a baroclinic hindcast paper (focus on summer 2003?)
    • Can we define the SEACOOS modeling strategy for this case?
    • What are optimal nesting strategies?
  • Data assimilation strategies (do we need HF radar for assimilation or for verification?)
  • CODAE
    • to assimilate data,
    • to recommend – via OSSEs – where to measure, and
    • for reanalysis
  • Ecosystem-relevant applications (Lagrangian measures)

Other topics

Wave modeling

  • Important, we need someone, we can’t do it ourselves (contacts include Paul Work, Brian Haus)
  • Look at partnership with privates such as Oceanweather Inc
  • Perhaps we need to borrow results from somewhere

Coupled atmos-ocean models

  • UMiami (Shuyi Chen), Sethu Raman (NCSU), Pat Welsh (NWS) lead existing efforts that we could consider
  • When the 5-year sustained effort comes into place each modeling site should have a meteorological modeling effort (the marine meteorological community would be a natural client)

Ecosystem models

  • Lagrangian models (MPAs) – this is strength we already have and we should proceed with this right away
  • Lower trophic models are harder and need a “true” biologist

Sediment transport

  • requires wave-modeling particularly inshore
  • may need additional mapping of sediment types, seasonality of algal maps
  • seek advice regarding scientific questions, models’ robustness

Strategic versus tactical modeling M.O. - consider in the future for opportunities for tactical (swat-team) approaches to be possible

River discharge data

- should this be added to the DMAC list of “wet data points”? Also, SCOOP may be a player. The runoff data should be QC’d.

CODAE – see IOOS “white paper”