EGU24-6743, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-6743
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

The solar wind in the last solar cycle driven by ADAPT-GONG and GONG magnetograms

Zhenguang Huang, Gabor Toth, Nishtha Sachdeva, and Bartholomeus van der Holst
Zhenguang Huang et al.
  • University of Michigan, Climate and Space Sciences and Engineering, Ann Arbor, United States of America (zghuang@umich.edu)

The solar wind variations during a solar cycle are critical in understanding the solar wind acceleration mechanism in different phases of the solar cycle. It is also important in predicting the solar wind distribution in the heliosphere. This problem has been investigated from different aspects, from data analysis to numerical modeling. Previous observations have shown that the distribution of fast and slow wind are different between solar minimum and maximum. In this study, we study the solar wind variations based on a first-principles model, the Alfven Wave Solar atmosphere Model (AWSoM) developed at the University of Michigan. Huang et al. (2023) have used the ADAPT-GONG magnetograms in the last solar cycle to drive the solar wind model and shown that one of the input parameters of the model, the Poynting flux parameter, can be empirically predicted with the open field area. Moreover, they suggested that the average energy deposition rate in the open field regions is approximately constant during a solar cycle. In this study, we use the GONG synoptic magnetograms, and determine if similar conclusions are also valid. We also systematically compare the model performance between the two different input magnetograms.

How to cite: Huang, Z., Toth, G., Sachdeva, N., and van der Holst, B.: The solar wind in the last solar cycle driven by ADAPT-GONG and GONG magnetograms, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6743, https://doi.org/10.5194/egusphere-egu24-6743, 2024.