Abstract

A series of observational data analysis, remote sensing analysis, and Coupled Model Intercomparison Project (CMIP) data analysis found that, in the context of global change, temperature changes in high-altitude areas are more severe than in low-altitude areas. Studies have shown that the feedback effect of snow albedo is the main influence mechanism of the altitude dependence of temperature changes. However, there are also some studies that hold different views, and believe that the altitude dependence of temperature changes depends on the study area, use data, and research elements. This lecture will discuss these issues with you.

Presenter Profile

GAO Yanhong is a professor in the Department of Atmospheric and Oceanic Sciences of Fudan University, a recipient of the State Council's special government allowance, a winner of the National Science Fund for Outstanding Youth, a winner of the Qinghai-Tibet Plateau Youth Science and Technology Award, and a subject in charge of the National Key R&D Program. She has been committed to exploring the land surface process, land-atmosphere interaction and regional climate effects of the Qinghai-Tibet Plateau for a long time, and has achieved some internationally influential and systematic innovative results in three aspects: improving models, simulating phenomena and revealing mechanisms. By improving the land surface model, the dynamic downscaling simulation system of the Qinghai-Tibet Plateau was constructed to more accurately simulate the warming characteristics of the Qinghai-Tibet Plateau with altitude and the spatial distribution of dry and wet changes, revealing that the circulation changes caused by warming affect the Qinghai-Tibet Plateau. The dominant factor in the spatial distribution of dry and wet changes. She has published more than 100 scientific papers and cited thousands of times by SCI. She is currently a member of the editors of journals such as JMR, IJH, JEES, and plateau meteorology, and a reviewer of more than 100 geological journals.