Annual Report 2008.pdf - SAMSI

I took several extended trips to NCAR during my year at SAMSI. This was useful, in that some
of the problems and datasets I worked with came from those trips.
10. Other Issues:
None
Yongku Kim
Plans for 2008-10
I will work as a Post Graduate Scientist at the National Center for Atmospheric Research
(NCAR) in the Institute for Mathematics Applied to Geosciences (IMAGe) Division from Aug. 1
2008. I will work with Dr. Stephen Sain in the Geophysical Statistics Project (GSP).
Future Research Plans
1. Hierarchical Bayesian modeling for geophysical spatiotemporal processes related to
Geophysical Statistics Project (GSP) at NCAR
2. Analysis and design issues based on superensemble forecasting in climate models
1. Program Involvement:
I have been doing research on (1) reanalysis of ozone health effects in the Environmental Risk
working group, (2) Atlantic hurricane modeling in the Multivariate with Multivariate Extremes–
Methodology working group, (3) statistical analysis of water potential data in the Sensor
Network dataset working group and (4) Statistical Design for Sensor Network Deployment with
Duke forest soil moisture data in the Sensor Design working group.
2. Interactions with Other Institutions:
I have been involved in DDDAS project with Duke university.
DDDAS-TMRP: Dynamic Sensor Networks - Enabling the Measurement, Modeling, and
Prediction of Biophysical Change in a Landscape.
3. High Points at SAMSI:
I have a lot of chances to work or talk with people from other research area (not just statistics).
4. Suggestions for Improvement:
5. Mentoring:
SAMSI provides me valuable suggestions about not only academic issues but also my future or
direction after SAMSI.
6. SAMSI Benefits for the Future:
I am very happy and satisfied with research environment at SAMSI. I have a good chance to
extend my research area and improve my research skills.
7. SAMSI in contrast with University Setting:
At SAMSI, I have enough time to do my own research and a lot of chance to be involved in
various research topics with SAMSI program.
8. SAMSI in comparison to Other Experiences: