EarthCube RCN: Towards Integration of Heliophysics Data, Modeling, and Analysis Tools

EarthCube RCN：迈向太阳物理数据、建模和分析工具的集成

• 批准号: 1743321
• 负责人: Gelu Nita
• 金额: $ 29.98万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-04-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1743321&HistoricalAwards=false
• 关键词: EarthCube; RCN; Towards; Integration; Heliophysics

Heliophysics is in the core of the Geospace science because the solar activity directly determines the conditions of the Earth space environment and atmosphere. For understanding the physical mechanisms of the complex multi-scale processes on the Sun and developing Space Weather forecasting techniques, it is critical to develop a common cyberinfrastructure to collect, access, analyze, share and visualize all forms of data from ground-based and space observatories, as well as from data-driven numerical simulations and modeling, and develop capabilities for their efficient analysis using advanced computer science techniques. The main goal of this project is to create a Research Coordination Network (RCN) that will foster new collaborations between heliophysics and computer scientists, which will result in ideas and concrete plans for developing building blocks supporting the goals of the EarthCube initiative. This RCN will actively encourage involvement of a diverse pool of community members and will provide an organized virtual structure that will promote a science transforming open source knowledge collaboration. This collaboration will enhance the science return from individual research projects run by the RCN participants. The activities of the RCN will be overseen by a steering committee composed of academic Heliophysicists and computer scientists from leading universities and research centers in the field. The steering committee will organize three topical working groups led by the members of the principal investigator (PI) team, which will address specific challenges related to: 1) Finding data and discovering knowledge, 2) Working with data and cross-disciplinary data, and 3) Simulations and modeling. The steering committee will organize topical working groups that will have as primary goals to build and strengthen the partnership between heliopyhsicists and cyber/computer scientists, foster new collaborations that will lead to better science outcomes, develop and discuss new ideas, methodologies and tools for efficient integration and analysis of the existing and upcoming large databases generated by space and ground-based observatories and supercomputer modeling centers. The RCN working groups will be led by the members of the PI Team, who will organize virtual seminars, as well as special sessions during general conferences in the field (such as the annual meeting of the American Geophysical Union and the Solar Heliospheric and Interplanetary Environment conference). In addition, the PI team will organize annual plenary technical interchange meetings attended by all working groups. The RCN steering committee will closely work with the EarthCube Governance and participate in the annual EarthCube meetings. The RCN will actively involve students and young researchers in its working groups and promote and support their participations in the EarthCube meetings. The project outcomes will be published in regular project reports, scholarly articles, and presented at the EarthCube meetings and scientific conferences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Heliophysic是地理科学的核心，因为太阳能活动直接决定了地球空间环境和大气的条件。为了了解太阳上复杂的多尺度过程的物理机制，并开发了太空天气预测技术，至关重要的是，要开发一个共同的网络基础架构，以收集，访问，分析，分析，共享和可视化基于地面和太空观测的所有形式的数据，以及从数据驱动的数字模拟和模型中，以及使用先进的计算机科学技术分析。该项目的主要目标是建立一个研究协调网络（RCN），该网络将促进Heliophysics和计算机科学家之间的新合作，这将制定想法和具体计划，以制定支持EarthCube Initiative目标的基础设施。该RCN将积极鼓励参与各种社区成员，并提供有组织的虚拟结构，以促进科学转变开源知识合作。这项合作将增强RCN参与者运行的个别研究项目的科学回报。 RCN的活动将由指导委员会监督，该指导委员会由该领域领先的大学和研究中心的学术热电学家和计算机科学家组成。指导委员会将组织由主要研究人员（PI）团队成员领导的三个主题工作组，该工作组将解决与以下方面的特定挑战：1）找到数据并发现知识，2）使用数据和跨学科数据，以及3）模拟和建模。 The steering committee will organize topical working groups that will have as primary goals to build and strengthen the partnership between heliopyhsicists and cyber/computer scientists, foster new collaborations that will lead to better science outcomes, develop and discuss new ideas, methodologies and tools for efficient integration and analysis of the existing and upcoming large databases generated by space and ground-based observatories and supercomputer modeling centers. RCN工作组将由PI团队的成员领导，PI团队将在该领域的一般会议上组织虚拟研讨会以及特殊会议（例如美国地球物理联盟的年度会议和太阳能地球际和太阳能地球际环境环境会议）。此外，PI团队还将组织所有工作组参加的年度全体技术互换会议。 RCN指导委员会将与EarthCube治理密切合作，并参加年度EarthCube会议。 RCN将积极参与其工作组的学生和年轻研究人员，并促进和支持他们参加EarthCube会议。该项目成果将发表在定期的项目报告，学术文章中，并在EarthCube会议和科学会议上介绍。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响来通过评估来支持的。

项目成果

Evolution of Flare-Accelerated Electrons Quantified by Spatially Resolved Analysis

• DOI: 10.3389/fspas.2020.00022
• 发表时间: 2020-04
• 作者: Natsuha Kuroda;G. Fleishman;D. Gary;G. Nita;Bin Chen;Sijie Yu

Magnetic Field Re-configuration Associated With a Slow Rise Eruptive X1.2 Flare in NOAA Active Region 11944

• DOI: 10.3389/fspas.2022.816523
• 发表时间: 2022-04
• 作者: V. Yurchyshyn;Xu Yang;G. Nita;G. Fleishman;V. Abramenko;S. Inoue;E. Lim;W. Cao

Predicting Solar Proton Events of Solar Cycles 22–24 Using GOES Proton and Soft-X-Ray Flux Features

使用 GOES 质子和软 X 射线通量特征预测太阳周期 22-24 的太阳质子事件

• DOI: 10.3847/1538-4365/ad0a6c
• 发表时间: 2024
• 期刊: The Astrophysical Journal Supplement Series
• 作者: Ali, Aatiya;Sadykov, Viacheslav;Kosovichev, Alexander;Kitiashvili, Irina N.;Oria, Vincent;Nita, Gelu M.;Illarionov, Egor;O’Keefe, Patrick M.;Francis, Fraila;Chong, Chun-Jie
• 通讯作者: Chong, Chun-Jie

Coronal Heating Law Constrained by Microwave Gyroresonant Emission

微波陀螺谐振发射约束的日冕加热定律

• DOI: 10.3847/1538-4357/abdab1
• 发表时间: 2021
• 期刊: The Astrophysical Journal
• 作者: Fleishman, Gregory D.;Anfinogentov, Sergey A.;Stupishin, Alexey G.;Kuznetsov, Alexey A.;Nita, Gelu M.
• 通讯作者: Nita, Gelu M.

Review of Solar Energetic Particle Models

• DOI: 10.1016/j.asr.2022.08.006
• 发表时间: 2022-08
• 期刊: Advances in Space Research
• 影响因子: 2.6
• 作者: K. Whitman;R. Egeland;I. G. Richardson;C. Allison;P. Quinn;J. Barzilla;I. Kitiashvili;V. Sadykov;H. Bain;M. Dierckxsens;M. Leila Mays;T. Tadesse;Kerry T. Lee;E. Semones;J. Luhmann;Marlon Núñez;S. White;S. Kahler;A. Ling;D. Smart;M. Shea;V. Tenishev;S. F. Boubrahimi;Berkay Aydin;Piet Martens;R. Angryk;M. Marsh;S. Dalla;N. Crosby;N. Schwadron;K. Kozarev;M. Gorby;M. Young;M. Laurenza;E. Cliver;T. Alberti;M. Stumpo;S. Benella;A. Papaioannou;A. Anastasiadis;I. Sandberg;M. Georgoulis;Anli Ji;Dustin J. Kempton;Chetraj Pandey;Gang Li;Junxiang Hu;G. Zank;E. Lavasa;G. Giannopoulos;D. Falconer;Yash Kadadi;Ian Fernandes;M. Dayeh;A. Muñoz-Jaramillo;Subhamoy Chatterjee;K. Moreland;I. Sokolov;I. Roussev;A. Taktakishvili;F. Effenberger;T. Gombosi;Zhenguang Huang;Lulu Zhao;N. Wijsen;À. Aran;S. Poedts;A. Kouloumvakos;Miikka Paassilita;R. Vainio;A. Belov;E. Eroshenko;M. Abunina;A. Abunin;C. Balch;O. Malandraki;M. Karavolos;B. Heber;J. Labrenz;P. Kühl;A. Kosovichev;Vincent Oria;G. Nita;E. Illarionov;Patrick M. O’Keefe-;Yucheng Jiang;Sheldon Fereira;Aatiya Ali;E. Paouris;S. Aminalragia-Giamini;P. Jiggens;M. Jin;Christina O. Lee;E. Palmerio;A. Bruno;Spiridon Kasapis;Xiantong Wang;Yang Chen;B. Sanahuja;D. Lario;C. Jacobs;D. Strauss;Ruhann Steyn;J. van den Berg;B. Swalwell;C. Waterfall;M. Nedal;R. Miteva;M. Dechev;P. Zucca;A. Engell;Brianna Maze;H. Farmer;Thuha Kerber;B. Barnett;Jeremy Loomis;N. Grey;B. J. Thompson;J. Linker;R. Caplan;C. Downs;T. Török;R. Lionello;V. Titov;Ming Zhang;Pouya Hosseinzadeh