Validation of EUHFORIA cone and spheromak coronal mass ejection models

Author:

Rodriguez L.ORCID,Shukhobodskaia D.ORCID,Niemela A.ORCID,Maharana A.ORCID,Samara E.,Verbeke C.,Magdalenic J.,Vansintjan R.,Mierla M.,Scolini C.ORCID,Sarkar R.,Kilpua E.,Asvestari E.ORCID,Herbst K.ORCID,Lapenta G.,Chaduteau A. D.ORCID,Pomoell J.,Poedts S.ORCID

Abstract

Aims. We present validation results for calculations of arrival times and geomagnetic impact of coronal mass ejections (CMEs) using the cone and spheromak CME models implemented in EUropean Heliospheric FORecasting Information Asset (EUHFORIA). Validating numerical models is crucial for ensuring their accuracy and performance with respect to real data. Methods. We compared CME plasma and magnetic field signatures measured in situ by satellites at the L1 point with the simulation output of EUHFORIA. The validation of this model was carried out using two datasets in order to ensure a comprehensive evaluation. The first dataset focuses on 16 CMEs that arrived at Earth, offering specific insights into the model’s accuracy in predicting arrival time and geomagnetic impact. Meanwhile, the second dataset encompasses all CMEs observed over eight months within Solar Cycle 24, regardless of whether or not they arrived at Earth, covering periods of both solar minimum and maximum activity. This second dataset enables a more comprehensive evaluation of the model’s predictive precision in term of CME arrivals and misses. Results. Our results show that EUHFORIA provides good estimates in terms of arrival times, with root mean square error (RMSE) values of 9 hours. Regarding the number of correctly predicted ICME arrivals and misses, we find a 75% probability of detection in a 12 hour time window and 100% probability of detection in a 24 hour time window. The geomagnetic impact forecasts measured by the Kp index provide different degrees of accuracy ranging from 31% to 69%. These results validate the use of cone and spheromak CMEs for real-time space weather forecasting.

Funder

ESA Prodex

Academy of Finland

Horizon 2020

FWO-Vlaanderen

KU Leuven

ESA Prodex-12

BELSPO

Research Council of Finland

Publisher

EDP Sciences

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3