报告人：Zachary Labe（普林斯顿大学 博士后研究员）

时间：2023.11.16 20:00-21:00

Zoom会议：946-708-84815

密码：见邮件或班级通知

报告人简介

Dr. Zachary Labe is a Postdoctoral Research Associate at NOAA’s Geophysical Fluid Dynamics Laboratory and the Atmospheric and Oceanic Sciences Program at Princeton University. He obtained a Ph.D. in Earth System Science from the University of California, Irvine in 2020. His current research interests explore the intersection of climate variability, extreme events, decadal prediction, and explainable artificial intelligence. In addition to academic research, he is very passionate about improving science communication, accessibility, and outreach through engaging data-driven visualizations.

报告简介

The Arctic is warming more than three times faster than the globally-averaged temperature trend. However, understanding the far-reaching impacts of this dramatic warming remains unclear. One of the proposed mechanisms involve changes in the upward propagation of planetary waves that weaken the stratospheric polar vortex due to Arctic sea-ice loss. This anomaly then propagates downward into the troposphere and leads to a negative phase of the Arctic Oscillation/North Atlantic Oscillation within several weeks. In this presentation, I will review our work on using large ensembles from two high-top general circulation models for separating the Arctic amplification-forced signal from atmospheric internal variability. While the response in the lower troposphere is robust to sea-ice loss, the statistical significance in the stratosphere and regional eddy-driven jet response is sensitive to the number of ensemble members. It is therefore crucial to consider the influence of internal variability when designing climate perturbation experiments. Finally, I will share some of our ongoing work in using explainable neural networks as a new approach to comparing climate models with observations in polar regions.