Wallops SuperDARN data in netCDF format (2021-Feb)

2021-Feb 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/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.'2021年2月沃洛普斯（Wallops）SuperDARN雷达netCDF格式数据集。本批次文件基于公开FitACF算法的2.5与3.0版本生成，坐标系采用AACGM v2标准。若在学术出版物中使用本数据集，请予以引用。相关RST工具包可在此获取：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的协同付出：他们参与雷达的搭建与运维、数据处理与共享、数据产品的开发与优化，并协助用户开展数据解译工作。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该项支持致谢。下文提供了SuperDARN数据使用的致谢规范说明。 此外，用户在提交拟发表的研究成果前，建议先咨询SuperDARN的首席研究员（PI）。包含联系方式的雷达与首席研究员名录可在此查阅：（SuperDARN雷达概览） **推荐的SuperDARN数据使用致谢格式：** “作者致谢使用SuperDARN数据。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资助机构共同资助的雷达组网。”