EGU25-10383, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-10383
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Predicting characteristics of bursty bulk flows in Earth’s plasma sheet using machine learning techniques
1,2- 1Department of Earth and Space Sciences, Southern University of Science and Technology, College of Science, Shenzhen, China (xuedongfeng1@gmail.com)
- 2Department of Atmospheric and Oceanic Sciences, University of California Los Angeles, Los Angeles, CA, USA.
How to cite: Feng, X., Yang, J., Bortnik, J., Wang, C.-P., and Liu, J.: Predicting characteristics of bursty bulk flows in Earth’s plasma sheet using machine learning techniques, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10383, https://doi.org/10.5194/egusphere-egu25-10383, 2025.