Wallops SuperDARN data in netCDF format (2024-May)

2024-May Wallops 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/rst The 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) Recommended form of acknowledgement for the use of SuperDARN data: '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.'2024年5月沃洛普斯（Wallops）SuperDARN雷达(SuperDARN)的netCDF格式（netCDF）数据。此类文件采用公开的FitACF算法(FitACF)2.5与3.0版本，结合AACGM v2坐标系(AACGM v2)生成。若在学术出版物中使用本数据集，请予以引用。 相关研究软件工具包（Research Software Toolkit, RST）可于以下链接获取：https://github.com/SuperDARN/rst 依托SuperDARN开展的研究成果，有赖于多国科学家与工程师团队的共同努力：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，以及协助用户开展数据解读工作。SuperDARN数据及数据产品的使用者需在学术报告与出版物中对上述支持致以谢意。下文将提供SuperDARN数据使用的标准致谢表述范例。 使用者还需在投稿发表前咨询SuperDARN的首席研究员(Principal Investigator, PI)。雷达与首席研究员的联系方式清单可参阅：（SuperDARN雷达概览） 推荐的SuperDARN数据使用致谢表述为： "作者感谢对SuperDARN数据的使用。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美利坚合众国的国家科学基金机构共同资助的雷达组网。"