SuperDARN Grid data in netCDF format (2012-Feb)

2012-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.'2012年2月的SuperDARN雷达netCDF格式数据。这些文件使用公开FitACF与make_grid算法的3.0版本，结合AACGM v2坐标系生成。若在学术出版物中使用本数据集，请予以引用。相关RST工具可通过以下链接获取：https://github.com/SuperDARN/rst SuperDARN相关研究的顺利开展，离不开多国科学家与工程师团队的共同付出：他们参与雷达的搭建与运维、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读工作。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该项支持予以致谢，关于SuperDARN数据使用的致谢说明模板详见下文。 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(Principal Investigator, PI)。包含雷达与首席研究员联系方式的列表可通过以下链接查阅：《SuperDARN雷达概览》 <strong>SuperDARN数据使用推荐致谢格式：</strong>'本研究作者致谢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探测阵列。'