Difference between revisions of "User:Dakota.Sullivan"

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Dakota Sullivan is a Computational Mathematics major at Marquette University.
 
Dakota Sullivan is a Computational Mathematics major at Marquette University.
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== Research Topic ==
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Using statistical surrogates to estimate the behavior of storm surge during a hurricane or tropical storm. [[Using_Gaussian_Stochastic_Processes_(GaSP)_for_Hazard_Mapping|See here for more details]].
  
 
== Milestones ==
 
== Milestones ==

Revision as of 02:06, 23 June 2015

Personal Info

Dakota Sullivan is a Computational Mathematics major at Marquette University.

Research Topic

Using statistical surrogates to estimate the behavior of storm surge during a hurricane or tropical storm. See here for more details.

Milestones

Week 1 (6/1 - 6/5)

  • Read about statistical surrogates
  • Plot test function
  • Find optimization routine in Python
  • Become comfortable with LaTeX

Week 2 (6/5 - 6/12)

  • Complete eading on storm surges
    • Technical paper from Dr. Spiller
    • Non-technical, independent research
  • Use optimization routine to find parameters to fit

Week 3 (6/15 - 6/19)

  • Play around with reading data files from computer experiment
    • Hopefully storm surge data – maybe move to Week 4
  • Implement optimization of model posterior (∴)

Week 4 (6/22 – 6/26)

  • Continue on (∴)
  • Play around with reading data files and plotting outputs
  • Reading about Monte Carlo calculations
  • Regroup and discuss plan for July

Week 5 (6/29 – 7/3)

  • Mini-presentation on July 2nd
  • Work on applying surrogate to storm surge model (♦)
  • Identify challenges in doing so

Week 6 (7/6 – 7/10)

  • Continue to work on (♦)
  • Use surrogate in probability calculation (∗)
  • Discuss possible scenario model

Week 7 (7/13 – 7/17)

  • Work on (♦) and (∗)

Week 8 (7/20 – 7/24)

  • Work on (♦) and (∗)

Week 9 (7/27 – 7/30)

  • Posters due July 29th

Week 10 (8/3 – 8/7)

  • Finish presentations and papers