Wind Predict: Modeling the solar corona and its EUV emission

With the increase of space EUV observations (SoHO, SDO, Solar Orbiter and soon the Vigil mission), this diagnostic has become an essential tool to bridge the gap between models and our current understanding of coronal phenomena. We will present a review of the recent studies using the Wind Predict model and its different versions, which is a 3-dimension magnetohydrodynamic code to model the solar chromosphere, corona and the expansion of the solar wind. We will in particular discuss the influence of observations on the simulation results (with the question of spatial resolution, as well as the inclusion of far-side active regions observed by Solar Orbiter), and vice-versa how the generation of synthetic data can help us improve our simulations (with the implementation of a feedback loop based on automated coronal hole detection). Finally, we will present the next developments foreseen for the Wind Predict code.<b>Speaker:</b><br>Barbara Perri (IAS &amp; CEA/AIM,Université Paris-Saclay, France)<br><b>Link to ESPOS webpage:</b><br>https://espos.stream/2025/06/19/Perri/

随着空间极紫外（EUV）观测（如太阳和日球层观测台（SoHO）、太阳动力学观测台（SDO）、太阳轨道器（Solar Orbiter）以及即将开展的Vigil任务）的增多，这种诊断方法已成为弥合模型与我们当前对日冕现象理解之间差距的关键工具。我们将综述近期使用Wind Predict模型及其不同版本的研究——该模型是一款三维磁流体动力学代码，用于模拟太阳色球层、日冕及太阳风的膨胀过程。我们将重点讨论观测对模拟结果的影响（包括空间分辨率问题，以及太阳轨道器观测到的远侧活动区的纳入），反之，合成数据的生成如何帮助改进模拟（包括基于自动日冕洞检测的反馈回路的实现）。最后，我们将介绍Wind Predict代码的未来发展规划。<b>报告人：</b><br>Barbara Perri（法国巴黎萨克雷大学IAS与CEA/AIM）<br><b>ESPOS网页链接：</b><br>https://espos.stream/2025/06/19/Perri/