A Story Between Dragon King and Aurora in the World of MAGE

When (times in MT)
Wed, Dec 4 2024, 2pm - 1 hour
Event Type
Speaker
Dong Lin
Affiliation
NSF NCAR/HAO
Building & Room
CG1-3131

Aurorae, also known as the polar lights, are splendid natural light display in the Earth’s upper atmosphere. Aurorae are produced by electrons and ions from the Earth’s magnetosphere and solar wind, which move along the Earth’s magnetic field lines and dive into the topside atmosphere, i.e., the ionosphere-thermosphere. There are various physical mechanisms facilitating the precipitation, e.g., acceleration along geomagnetic field lines, and interactions with plasma waves. The most important consequence of auroral precipitation is the generation of ionospheric conductivity due to ionization of neutral atmosphere by the energetic charged particles. In order to understand the formation process of aurora, we have been developing a physics based precipitation model, named as Dragon King, to characterize different types of auroral precipitation based on their respective underlying physics. The Dragon King model is embedded in the Multiscale Atmosphere-Geospace Environment (MAGE) whole geospace model, which treats the Earth’s magnetosphere, ring current, and ionosphere-thermosphere as coupled system. In this colloquium, I will talk about recent progress in the development of the Dragon King model, and its application in the study of auroral precipitation and geospace storms.

About the Speaker

Dr. Dong Lin is a Project Scientist from the High Altitude Observatory (HAO) of NSF National Center for Atmospheric Research (NCAR). Dr. Lin got his PhD degree in Electrical Engineering from Virginia Tech in 2019 before joining HAO as an ASP postdoc. He was promoted to Project Scientist I in January 2022. Dr. Lin is a member of the CGS modeling team and working group lead of precipitation and conductance. He has been primarily working on characterizing auroral precipitation, and critical magnetosphere-ionosphere coupling processes and effects during storm time.