报告人：王显威(长聘教轨副教授)

时间：2022.10.26 14:00-15:30

腾讯会议：619-388-344

密码：见邮件或班级通知

报告人简介

王显威，博士，上海交通大学海洋学院长聘教轨副教授，博士生导师，上海市海外高层次人才引进计划。他本科毕业于吉林大学测绘工程系，博士毕业于中国科学院遥感应用研究所；先后在北京师范大学、俄亥俄州立大学和纽约大学阿布扎比分校开展与极地冰川变化相关的研究。主要研究兴趣为遥感在地球科学研究中的应用，尤其关注极地冰川变化及冰川-海洋交互作用。其主要采用光学遥感、雷达遥感和高度计数据探测南极和格陵兰岛典型冰川的三维立体变化，并结合冰川实地测量、海洋观测数据以及冰川模型等进行冰川-海洋交互作用研究。王显威副教授分别参加过四次南极和格陵兰岛考察，具有丰富的极地科学考察经验，在Cryosphere、Remote Sensing of Environment等期刊发表文章23篇。

报告简介

Global warming and ocean circulation changes have posed substantial threat to Greenland and Antarctic glaciers, which are melting rapidly and have triggered 14 mm sea level rise from 2003 to 2019. Antarctic glaciers are losing ice to the ocean primarily through two processes: iceberg calving and basal melting of ice shelves/tongues. To better predicate future sea level rise, it is urgent to monitor the three-dimensional changes and reveal the calving and basal melting mechanism of Antarctic glaciers. In this presentation, Mertz and Drygalski Ice Tongues are taken as example to study the iceberg calving and how ocean melting ice tongue in East Antarctica. Remote sensing and satellite altimetry were used to detect Mertz Ice Tongue changes before and after calving event. A calving cycle of approximately 70 years caused by seafloor shore, Mertz Bank has been revealed. The glacier-ocean interaction was conducted around Drygalski Ice Tongue. Measurement from Global Positioning System (GPS), Autonomous Phase-sensitive Radio-Echo-Sounder (ApRES), oceanographic mooring and computer modeling were used to study the motion and basal melting of Drygalski Ice Tongue. Rapid basal melting close to the tongue front was detected in austral summer, which was likely triggered by intrusion of Antarctica Surface Water in austral summer. Glacier-ocean interactions, such as glacier calving or basal melting, can be reflected from spaceborne, terrestrial and oceanic observations and are important processes to predict sea level changes. To better understand the driving forces of glacier changes, multi-disciplinary observation and modeling from remote sensing, computer science, glaciology, oceanography and atmosphere science are required.