SuperDARN Grid data in netCDF format (2002-Oct)

2002-Oct 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.'本数据集包含2002年10月的SuperDARN雷达数据，采用网络通用数据格式（netCDF）存储。所有数据文件均基于公开的FitACF与make_grid算法3.0版本生成，坐标系采用高度调整修正地磁坐标系（AACGM v2）。若将本数据用于学术出版物，请引用本数据集。相关RST代码资源可通过以下地址获取：https://github.com/SuperDARN/rst。 SuperDARN相关研究的顺利推进，离不开多国科学家与工程师团队的协同努力——他们负责雷达系统的搭建与运维、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。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致以谢意。下文提供了SuperDARN数据使用的致谢规范说明。 此外，拟投稿发表相关研究成果的用户，需提前与SuperDARN首席研究员（PI）取得联系。雷达设备与首席研究员的名录及联系方式可参见：SuperDARN雷达概况。 **SuperDARN数据使用标准致谢表述：** '作者致谢使用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、英国及美利坚合众国的国家科学资助机构支持建设的雷达观测阵列。'