For more information about this meeting, contact Fei Wang, Hope Shaffer, Toan Nguyen, Mark Levi, Victor Nistor, Jinchao Xu, Ludmil Zikatanov.
|Title:||Mathematical Challenges in Climate Variability|
|Seminar:||Computational and Applied Mathematics Colloquium|
|Speaker:||Juan M. Restrepo, University of Arizona|
|Abstract: A fundamental challenge in climate science is to make sense of very limited and poorly constrained data. A notable problem in this realm is the question of whether global warming is an industrial era trend or not.
Even though many data gathering campaigns are taking place or are being planned, the very high dimensional state space of the system makes 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 retrodictions. I will review some of the challenges with this process, cover some of our group's efforts to meet these.
Problems in which progress can be made by a combination of deterministic and statistical techniques are endemic in climate science and other geosciences. I will also enumerate a prioritized list of problems, which if addressed with careful mathematical treatment, will have a significant impact on climate variability and a variety of other geoscience problems.|
Room Reservation Information
|Date:||11 / 04 / 2013|
|Time:||02:30pm - 03:30pm|