SuperDARN Grid data in netCDF format (2009-Jun)

2009-Jun 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.'2009年6月发布的netCDF格式（netCDF）SuperDARN雷达数据。本数据集的文件基于公开的FitACF与make_grid算法的3.0版本生成，采用AACGM v2坐标系统。若在学术出版物中使用本数据，请引用该数据集。RST工具包可于此处获取：https://github.com/SuperDARN/rst SuperDARN相关研究的顺利开展，得益于多国科学家与工程师团队的协同付出：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译工作。使用SuperDARN数据及数据产品的用户，需在学术报告与发表成果中对相关支持致谢。下文提供了SuperDARN数据使用的标准致谢表述规范。 用户在提交拟发表的研究成果前，还需咨询SuperDARN的首席研究员（PI）。包含雷达及首席研究员联系方式的列表可在此处查阅：《SuperDARN雷达概览》（SuperDARN Radar Overview）。 **使用SuperDARN数据的标准致谢表述为：** "作者感谢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资助机构支持建设的雷达组网系统。"