Difference between revisions of "User:John.Bihn"
From REU@MU
m |
|||
Line 12: | Line 12: | ||
== Daily Log == | == Daily Log == | ||
+ | |||
+ | (Currently same as milestones- updated daily log will be posted soon!!!) | ||
=== Week 1 (6/1 - 6/5) === | === Week 1 (6/1 - 6/5) === |
Revision as of 22:08, 17 June 2015
Personal Info
John Bihn is a statistics major at Williams College. He is a member of the Williams Ultimate Frisbee Organization (WUFO), junior leader of the Moocho Macho Moocow Military Marching Band, and staff writer for the Williams Record. His favorite color crayon is Purple Mountains' Majesty.
Research Topic
Using statistical surrogates to estimate the behavior of storm surge during a hurricane or tropical storm. See here for more details
Milestones
Weekly milestones can be found on our main project page, located here
Daily Log
(Currently same as milestones- updated daily log will be posted soon!!!)
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 reading 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