用于极光预报和分析的交互式计算机模型

IF 0.9 Q4 GEOCHEMISTRY & GEOPHYSICS
A. Vorobev, A. Soloviev, V. Pilipenko, G. Vorobeva
{"title":"用于极光预报和分析的交互式计算机模型","authors":"A. Vorobev, A. Soloviev, V. Pilipenko, G. Vorobeva","doi":"10.12737/stp-82202213","DOIUrl":null,"url":null,"abstract":"An interactive computer model of a short-term (with a horizon 30–70 min) forecast of aurora intensity has been developed in the form of a web-based geoinformation system. The OVATION-Prime empirical model is used as the basic software, which establishes statistical relationships between parameters of the solar wind, the interplanetary magnetic field, and auroral particle fluxes. On the basis of this model, a system has been built which simulates the spatial planetary distribution of the probability of observing auroras and a number of accompanying quantities. Data visualization is carried out on the basis of the virtual globe technology and is provided to the end user via a specialized web service. The forecast has been verified by comparing the model predictions with the data from 16 cameras conducting continuous observations of the auroras in the visible spectrum. The proportion of coincidences between the predicted and observed auroras was 86 %. The developed service enables both forecasting and analysis of past events. The system allows us to compare the spatial distribution of probability of auroras with railway transport systems for the territory of the Russian Federation.","PeriodicalId":43869,"journal":{"name":"Solar-Terrestrial Physics","volume":" ","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Interactive computer model for aurora forecast and analysis\",\"authors\":\"A. Vorobev, A. Soloviev, V. Pilipenko, G. Vorobeva\",\"doi\":\"10.12737/stp-82202213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An interactive computer model of a short-term (with a horizon 30–70 min) forecast of aurora intensity has been developed in the form of a web-based geoinformation system. The OVATION-Prime empirical model is used as the basic software, which establishes statistical relationships between parameters of the solar wind, the interplanetary magnetic field, and auroral particle fluxes. On the basis of this model, a system has been built which simulates the spatial planetary distribution of the probability of observing auroras and a number of accompanying quantities. Data visualization is carried out on the basis of the virtual globe technology and is provided to the end user via a specialized web service. The forecast has been verified by comparing the model predictions with the data from 16 cameras conducting continuous observations of the auroras in the visible spectrum. The proportion of coincidences between the predicted and observed auroras was 86 %. The developed service enables both forecasting and analysis of past events. The system allows us to compare the spatial distribution of probability of auroras with railway transport systems for the territory of the Russian Federation.\",\"PeriodicalId\":43869,\"journal\":{\"name\":\"Solar-Terrestrial Physics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2022-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Solar-Terrestrial Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12737/stp-82202213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solar-Terrestrial Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12737/stp-82202213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 2

摘要

已经以基于网络的地理信息系统的形式开发了一个极光强度短期(地平线为30-70分钟)预测的交互式计算机模型。OVATION Prime经验模型被用作基础软件,它建立了太阳风、行星际磁场和极光粒子通量参数之间的统计关系。在这个模型的基础上,建立了一个系统,模拟观测极光的概率和一些伴随量的空间行星分布。数据可视化是在虚拟地球仪技术的基础上进行的,并通过专门的web服务提供给最终用户。通过将模型预测与16台连续观测可见光谱极光的相机的数据进行比较,验证了这一预测。预测到的极光与观测到的极光的重合度为86%。开发的服务能够预测和分析过去的事件。该系统使我们能够将极光概率的空间分布与俄罗斯联邦境内的铁路运输系统进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive computer model for aurora forecast and analysis
An interactive computer model of a short-term (with a horizon 30–70 min) forecast of aurora intensity has been developed in the form of a web-based geoinformation system. The OVATION-Prime empirical model is used as the basic software, which establishes statistical relationships between parameters of the solar wind, the interplanetary magnetic field, and auroral particle fluxes. On the basis of this model, a system has been built which simulates the spatial planetary distribution of the probability of observing auroras and a number of accompanying quantities. Data visualization is carried out on the basis of the virtual globe technology and is provided to the end user via a specialized web service. The forecast has been verified by comparing the model predictions with the data from 16 cameras conducting continuous observations of the auroras in the visible spectrum. The proportion of coincidences between the predicted and observed auroras was 86 %. The developed service enables both forecasting and analysis of past events. The system allows us to compare the spatial distribution of probability of auroras with railway transport systems for the territory of the Russian Federation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Solar-Terrestrial Physics
Solar-Terrestrial Physics GEOCHEMISTRY & GEOPHYSICS-
CiteScore
1.50
自引率
9.10%
发文量
38
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信