SuperDARN Grid data in netCDF format (2012-Jun)

2012-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.'2012年6月的SuperDARN雷达数据集采用netCDF（网络通用数据格式）存储。本数据集基于公开的FitACF与make_grid算法3.0版本生成，坐标系采用AACGM v2（调整高度校正地磁坐标系）。若在学术出版物中使用本数据集，请予以引用。相关RST工具包可在此处获取：https://github.com/SuperDARN/rst SuperDARN支撑的各项科研成果，离不开全球多国科研团队与工程师的共同努力——他们负责雷达的搭建与运维、数据处理与共享、数据产品的开发迭代，并协助用户进行数据解译。使用SuperDARN雷达数据及数据产品的用户，需在学术报告及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示例。 若计划将研究成果投稿至学术期刊，请先与SuperDARN项目的首席研究员（Principal Investigator，PI）取得联系。各雷达站及首席研究员的联系方式列表可参阅：<SuperDARN雷达概况> <strong>SuperDARN数据使用致谢规范表述：</strong>'本研究致谢使用SuperDARN雷达数据。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美国的国家科学资助机构支持建设的雷达探测阵列。'