遇见数据集

SuperDARN data in netCDF format (2012-Feb)

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Zenodo2022-05-16 更新2026-05-25 收录
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2012-Feb SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, 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.'

本数据集为2012年2月的网络通用数据格式(netCDF)SuperDARN雷达数据。这批文件采用公开的FitACF算法(FitACF algorithm)2.5与3.0版本生成,坐标系采用AACGM v2坐标系(AACGM v2 coordinate system)。若在学术出版物中使用本数据集,请予以引用。 相关RST工具包(RST)可在此处获取:https://github.com/SuperDARN/rst SuperDARN相关研究的顺利开展,有赖于多国科学家与工程师团队在雷达系统搭建与运维、数据处理与共享、数据产品开发优化以及协助用户开展数据解译等多方面的不懈努力。使用SuperDARN数据及数据产品的用户,请在学术报告与出版物中对该支持致以诚挚谢意,下文提供了标准致谢表述范例。 此外,用户在提交待发表成果前,需先联系SuperDARN的项目负责人(Principal Investigator,PI)。雷达站点与项目负责人及联系方式清单可参见《SuperDARN雷达概览》。 <strong>SuperDARN数据使用标准致谢表述:</strong>"本研究作者感谢SuperDARN项目的数据支持。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国以及美利坚合众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:
2022-05-05
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