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Collaborative Research: Super Dual Auroral Radar Network (SuperDARN) Operations, Research and Community Support

合作研究：超级双极光雷达网络 (SuperDARN) 运营、研究和社区支持

基本信息

批准号：
1934997
负责人：
Simon Shepherd
金额：
$ 120.39万
依托单位：
Dartmouth College
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-02-01 至 2025-01-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934997&HistoricalAwards=false
关键词：
Collaborative Research Super Dual Auroral

项目摘要

Space weather is the result of the coupling of energy from the solar wind into geospace and the myriad interactions between electric fields and charged particles with the geomagnetic field and neutral atmosphere. The resulting variability and disturbed conditions leads to harmful impacts on technological systems and even to risk to humans. Scientific imperatives and practical concerns converge in making space weather a rising priority for society and national planners. This collaborative project provides support for a consortium of four U.S. universities to continue the operations of a suite of High Frequency coherent-backscatter radars within the NSF Division of Atmospheric and Geospace Sciences (AGS). This extension will enable a broad range of research across the space science community. The U.S. consortium functions as part of the international Super Dual Auroral Radar Network (SuperDARN) which encompasses more than 35 radars distributed from mid through high to polar latitudes in both the northern and southern hemispheres. The leveraged benefits of the activities include student participation in the engineering and scientific tasks required to operate the network and to achieve the desired data products.SuperDARN is well known for producing maps of the large-scale circulation of ionospheric plasma that can be compared in terms of scientific significance and practical utility to maps of winds and pressure systems in tropospheric weather. The radars observe a wide range of effects in the coupled magnetosphere-ionosphere thermosphere system that bear directly on understanding and modeling space weather events. The award will continue a program of continued observations while also achieving significant refurbishment of eleven U.S. radars located in North America and add the operations of two new radars in Iceland that are being built on separate support. It will also enable, with partial funding and by virtue of the availability of data, a broad range of research by the U.S. SuperDARN scientists on such new themes as convection in the inner magnetosphere, subauroral ionospheric convection, and solar flare impacts on the ionosphere. As a consequence of this award, the U.S. research community will be supplied with data from the entire set of SuperDARN radars and assisted in the application of SuperDARN data and data products. The award will provide new data products to the community include mapping of ionospheric plasma convection at much improved spatial resolution and techniques for applying machine learning to geospace datasets. In coordination with international collaborators simplified methods for data access will be developed that meet the emerging requirements by agencies and journals to make data discoverable and interoperable.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.

空间天气是来自太阳风的能量耦合到地球空间，以及电场和带电粒子与地磁场和中性大气之间无数相互作用的结果。由此产生的变化和扰动条件对技术系统产生有害影响，甚至对人类构成风险。科学的需要和实际的关切汇合在一起，使空间天气日益成为社会和国家规划者的优先事项。该合作项目为一个由四所美国大学组成的联盟提供支持，以继续在美国国家科学基金会大气和地球空间科学部（AGS）内运行一套高频相干后向散射雷达。这一扩展将使整个空间科学界的研究范围广泛。美国联盟是国际超级双极光雷达网络（superdamn）的一部分，该网络包括超过35个雷达，分布在南北半球从中纬度到高纬度到极纬度。这些活动的杠杆效益包括学生参与操作网络和实现所需数据产品所需的工程和科学任务。superdamn以绘制电离层等离子体大尺度环流图而闻名，这些图在科学意义和实际用途上可与对流层天气中的风和压力系统图相比较。雷达观测到磁层-电离层-热层耦合系统的广泛影响，直接关系到对空间天气事件的理解和模拟。该合同将继续进行持续观测项目，同时还将对位于北美的11台美国雷达进行重大翻新，并增加冰岛两台新雷达的运行，这两台新雷达正在单独支持下建造。通过部分资金和数据的可用性，它还将使美国SuperDARN科学家在诸如内磁层对流、亚极光电离层对流和太阳耀斑对电离层的影响等新主题上进行广泛的研究。作为该合同的结果，美国研究界将获得来自整套超级雷达的数据，并协助超级雷达数据和数据产品的应用。该奖项将为社区提供新的数据产品，包括以更高的空间分辨率绘制电离层等离子体对流，以及将机器学习应用于地球空间数据集的技术。将与国际合作者协调，制定简化的数据存取方法，以满足各机构和期刊对数据可发现和可互操作的新要求。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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

期刊论文数量（18）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Bistatic Observations With SuperDARN HF Radars: First Results

使用 SuperDARN 高频雷达进行双基地观测：初步结果

DOI：
10.1029/2020rs007121
发表时间：
2020
期刊：
Radio Science
影响因子：
1.6
作者：
Shepherd, S. G.;Sterne, K. T.;Thomas, E. G.;Ruohoniemi, J. M.;Baker, J. B. H.;Parris, R. T.;Pedersen, T. R.;Holmes, J. M.
通讯作者：
Holmes, J. M.

Virtual Height Characteristics of Ionospheric and Ground Scatter Observed by Mid‐Latitude SuperDARN HF Radars

DOI：
10.1029/2022rs007429
发表时间：
2022-01
期刊：
Radio Science
影响因子：
1.6
作者：
E. Thomas;S. Shepherd
通讯作者：
E. Thomas;S. Shepherd

Multi‐Scale Density Structures in the Plasmaspheric Plume During a Geomagnetic Storm

地磁暴期间等离子体层羽流的多尺度密度结构

DOI：
10.1029/2021ja030230
发表时间：
2022
期刊：
Journal of Geophysical Research: Space Physics
影响因子：
0
作者：
Nishimura, Y.;Goldstein, J.;Martinis, C.;Ma, Q.;Li, W.;Zhang, S. R.;Coster, A. J.;Mrak, S.;Semeter, J. L.;Nishitani, N.
通讯作者：
Nishitani, N.

Multi-instrument observations of polar cap patches and traveling ionospheric disturbances generated by solar wind Alfvén waves coupling to the dayside magnetosphere

多仪器观测极冠斑块和太阳风阿尔文波耦合到日侧磁层产生的行进电离层扰动

DOI：
10.5194/angeo-40-619-2022
发表时间：
2022
期刊：
Annales Geophysicae
影响因子：
1.9
作者：
Prikryl, Paul;Gillies, Robert G.;Themens, David R.;Weygand, James M.;Thomas, Evan G.;Chakraborty, Shibaji
通讯作者：
Chakraborty, Shibaji

Super Dual Auroral Radar Network Expansion and Its Influence on the Derived Ionospheric Convection Pattern

超级双极光雷达网络扩展及其对衍生电离层对流模式的影响