Impacts of extreme events on Arctic climate variability

报告简介:

Arctic sea ice is declining rapidly in response to global anthropogenic warming. However, climate model simulations consistently predict lower rates of Arctic Sea ice decline than observations, even though there have numerous efforts on improving the models' capability on the simulations of positive feedback processes such as sea ice-ocean coupling, surface radiative forcing and sea ice-albedo. Here we present several evidences on the accumulated impacts of extreme events in the Arctic on the sea ice variability during the global warming. We show that for the lack of simulations of extreme events in the Arctic Ocean, climate models are difficult to capture their cumulative effects on the sea ice retreat. Our results suggest the need to enhance the ability of climate models to simulate or parameterize extreme events to improve the ability to simulate the rapid retreat of sea ice.

报告人简介:

陈显尧
Xianyao Chen, Professor of Physical Oceanography in Ocean University of China. His primary research interests are ocean and climate dynamics, from seasonal to multidecadal time scales, and from regional to global scales, with special interest in global sea level rise, global ocean warming and the Arctic rapid change. These works are published in Science, Nature, Nature Climate Change, and other peer-reviewed journals. One of his main findings recently is to show the contributions of global ocean warming to the sea level rise and the global warming slowdown and accelerations.