SuperDARN Grid data in netCDF format (2021-Aug)

2021-Aug 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.'2021年8月的SuperDARN雷达数据，格式为网络通用数据格式（network Common Data Form，netCDF）。本批次文件采用公开的FitACF与make_grid算法的3.0版本生成，坐标系采用调整顶点地磁坐标系（Adjusted Apex Geomagnetic Coordinates，AACGM v2）。若在学术出版物中使用本数据集，请予以引用。 相关RST代码库可访问：https://github.com/SuperDARN/rst SuperDARN所支撑的各项研究成果，离不开多国科学家与工程师团队的共同付出：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，请在学术报告与出版物中对上述支持予以致谢。下文提供了SuperDARN数据使用的标准致谢表述格式。 若拟将研究成果投稿发表，请先咨询SuperDARN项目的首席研究员（Principal Investigator，PI）。雷达及首席研究员名录与联系方式可通过以下链接查阅：（SuperDARN雷达概览） <strong>SuperDARN数据使用致谢规范表述：</strong>‘本研究致谢使用了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支持建设的雷达探测阵列。’