报告题目：Using datasets of opportunity to probe the upper atmosphere using data assimilation
报告专家：Associate Prof. Dr. Javier Amezcua
报告时间：2024年3月13日（周三）上午10:00
会议形式：Webex-线上会议（会议ID: 27441291796）
会议链接：https://yuefeizeng.my.webex.com/meet/pr003558 (电脑浏览器直接进入，无需密码)
主持人：曾跃飞教授
专家简介：
Prof. Dr. Javier Amezcua obtained his PhD study in 2012 at University of Maryland in USA and then worked as postdoc and later senior researcher at University of Reading in UK. Since 2022 he has been associate professor at Monterrey Institute of Technology in Mexico. His interests cover data assimilation, bayesian problems and etc. Since 2020, he is the member of organising committee of International Symposium of Data Assimilation (ISDA).
报告摘要：
Around the world, seismic and acoustic arrays are constantly recording “background noise”. This “noise”, however, can contain useful information. Infrasound generated in the Earth’s surface can propagate vertically through the atmosphere, be reflected at some altitude, and travel back to the ground where it is detected. These waves are affected by the atmospheric conditions they encounter. Hence, the infrasound-related observations recorded in the stations contain integrated information of the atmospheric variables. In this talk we show how the Modulated Ensemble Transform Kalman filter can make use of these observations to infer stratospheric values. Since this is a poorly-observed region, any information proves quite valuable.
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气象灾害教育部重点实验室
气象灾害预报预警与评估协同创新中心
南京信息工程大学大气科学学院
2024.3.11