Project Leader:
Dr. Yochanan Kushnir
Earth Institute Contact: Dr. Yochanan Kushnir
Additional External Researchers:
Richard Seager, Mingfang Ting
Description:
As we turn to face the reality of anthropogenic climate change looking towards a gradually warming climate under the influence of the increase in atmospheric greenhouse gas concentration, we should not forget the importance of variability of climate due to internal atmospheric and atmosphere-land-ocean interaction. Internal variations such as El Niño and the North Atlantic Oscillation will continue to affect the actual year-to-year and decade-to-decade variations of regional climates. The Lamont Climate Modeling Group is interested in quantifying the future impact of so-called "internal climate variability" and assess its dependence on the gradual anthropogenic "forced" warming. We are looking for an intern to assist us in applying relatively simple statistical methods to output from global climate models and observational data to address this goal. The project will entail the use of methods to distinguish between the greenhouse warming trend and internal variability, the space-time mapping of the latter, and the study of the properties of specific climate variability patterns such as mentioned above. This is essentially a computer-based data analysis project. Pre-requisites a good background in physical sciences and or mathematics and computer experience. Introductory knowledge of meteorology or related climate studies is desirable.
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