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.

太阳物理是地球空间科学的核心，因为太阳活动直接决定着地球、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和开发空间天气预报技术，至关重要的是要建立一个共同的网络基础设施，以收集、获取、分析、共享来自地面和空间观测站以及来自数据驱动的数值模拟和建模的各种形式的数据，并发展利用先进的计算机科学技术进行有效分析的能力。该项目的主要目标是创建一个研究协调网络(RCN)，该网络将促进太阳物理学和计算机科学家之间的新合作，这将导致开发支持地球立方体倡议目标的积木的想法和具体计划。该RCN将积极鼓励不同社区成员的参与，并将提供一个有组织的虚拟结构，促进科学转化开放源码知识合作。这一合作将提高RCN参与者经营的个人研究项目的科学回报。RCN的活动将由一个指导委员会监督，该委员会由学术太阳物理学家和来自该领域顶尖大学和研究中心的计算机科学家组成。指导委员会将组织由首席调查员(PI)小组成员领导的三个专题工作组，这些工作组将处理与以下相关的具体挑战：1)寻找数据和发现知识；2)使用数据和跨学科数据；3)模拟和建模。指导委员会将组织专题工作组，其主要目标将是建立和加强太阳物理学家和网络/计算机科学家之间的伙伴关系，促进将导致更好的科学成果的新的合作，开发和讨论有效整合和分析空间和地面观测站和超级计算机模拟中心产生的现有和即将建立的大型数据库的新想法、方法和工具。区域协调工作组将由PI小组的成员领导，他们将组织虚拟研讨会，并在外地的一般会议(如美国地球物理联盟年会和日光层和行星际环境会议)期间举行特别会议。此外，PI小组将组织所有工作组参加的年度全体技术交流会。RCN指导委员会将与地球立方体治理密切合作，并参加地球立方体年度会议。RCN将积极让学生和青年研究人员参加其工作组，并促进和支持他们参加地球立方会议。项目成果将发表在定期的项目报告、学术文章中，并在地球立方会议和科学会议上公布。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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