遇见数据集

SuperDARN Grid data in netCDF format (2013-Jan)

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Zenodo2023-02-20 更新2026-05-26 收录
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2013-Jan SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'

2013年1月的SuperDARN雷达数据,格式为netCDF(网络通用数据格式)。本数据集采用公开的FitACF与make_grid算法3.0版本生成,使用AACGM v2坐标系。若在学术出版物中使用本数据集,请引用该数据集。 相关RST工具包可在此处获取:https://github.com/SuperDARN/rst SuperDARN项目所支撑的科研成果,离不开全球多国科研团队与工程师的共同努力——他们负责雷达的搭建与运维、数据处理与共享、数据产品的开发与优化,以及协助用户解读数据。使用SuperDARN数据及数据产品的用户,需在学术报告与出版物中对本项目的支持予以致谢。下文提供了致谢表述的规范说明。 若准备将基于本数据集的研究成果投稿至学术期刊,用户需提前联系SuperDARN的项目负责人(PI)。各雷达站点及项目负责人的联系方式清单可在此处查看:(SuperDARN雷达概览) **使用SuperDARN数据的标准致谢表述:** '作者感谢SuperDARN数据的使用支持。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美国的国家科学基金机构资助的雷达探测阵列。'

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Zenodo
创建时间:
2023-02-17
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