Difference between revisions of "User:Dakota.Sullivan"
From REU@MU
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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
Contents
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