SuperDARN data in netCDF format (2016-Mar)

2016-Mar SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, 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.'2016年3月发布的netCDF（网络通用数据格式）格式SuperDARN雷达数据。本批次文件采用公开FitACF算法的2.5与3.0版本生成，坐标系采用修正地磁坐标系（AACGM v2）。若在学术出版物中使用本数据集，请予以引用。相关RST工具可从以下地址获取：https://github.com/SuperDARN/rst。 依托SuperDARN开展的研究，离不开多国科学家与工程师团队的辛勤付出——他们参与雷达的搭建与运维、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。SuperDARN数据及数据产品的使用者需在学术报告与发表论文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范例。 使用者在提交拟发表的研究成果前，需咨询SuperDARN的项目负责人（Principal Investigator，PI）。雷达与项目负责人及其联系方式清单可参见：(SuperDARN雷达概览)。 **推荐的SuperDARN数据使用致谢表述：** '本研究作者感谢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、英国及美国的国家科学基金机构共同资助的雷达组网系统。'