Climate Variability: Goals and Challenges

Thursday, June 9, 2011 - 10:30am - 11:30am
Keller 3-180
Juan Restrepo (University of Arizona)
A fundamental challenge in climate science is to make sense of very limited and
poorly constrained data. Even though many data gathering campaigns are taking pl
ace or are being planned, the very high dimensional state space of the system ma
kes the prospects of climate variability analysis from data alone very tenuous,
especially in the near term. The use of models and data, via data assimilation,
is one of the strategies pursued to improve climate predictions and retrodiction
s. I will review some of the challenges with this process, cover some of our gro
up's efforts to meet these. I wil also enumerate a prioritized list of problems,
which if addressed with careful mathematical treatment, will have a significant
impact on climate variability understanding.