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SuperDARN雷达数据集采用netCDF格式存储。本数据集使用公开的FitACF与make_grid算法3.0版本生成，并采用AACGM v2坐标系。若将本数据集用于学术出版物，请予以引用。相关RST代码库可通过以下链接获取：https://github.com/SuperDARN/rst SuperDARN相关研究成果的取得，离不开全球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译工作。SuperDARN数据及数据产品的使用者需在学术汇报与发表论文中致谢此项支持，下文提供了致谢SuperDARN数据使用的简短范本。 拟投稿发表的研究成果，需先与SuperDARN项目首席研究员（Principal Investigator，PI）沟通。包含雷达与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) **SuperDARN数据使用致谢推荐表述**："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、英国及美国国家科学基金机构共同资助的雷达探测阵列。"