SuperDARN Grid data in netCDF format (2014-Feb)

2014-Feb 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.'2014年2月的netCDF格式超级双子极光雷达网（SuperDARN）雷达数据。本批次文件采用公开的FitACF与make_grid算法3.0版本，结合绝热校正地磁坐标（AACGM）v2坐标系生成。若在学术出版物中使用本数据集，请务必予以引用。其配套RST工具库可通过以下链接获取：https://github.com/SuperDARN/rst 依托SuperDARN开展的相关研究，离不开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、数据处理与开放共享、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，需在学术报告与出版物中对上述支持予以致谢。下文提供了致谢SuperDARN数据使用的简要说明。 用户在提交拟发表的研究成果前，还请先联系SuperDARN的项目负责人（Principal Investigator, PI）进行咨询。包含雷达列表及项目负责人联系方式的详情可在此处查阅：（SuperDARN雷达总览） <strong>推荐的SuperDARN数据使用致谢格式：</strong>"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资助机构支持建设的雷达组网系统。"