SuperDARN Grid data in netCDF format (2006-Apr)

2006-Apr 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.'2006年4月的netCDF格式SuperDARN雷达数据集。本数据集文件采用公开的FitACF与make_grid算法3.0版本生成，并采用AACGM v2坐标系。若在学术出版物中使用本数据集，请务必进行引用。相关RST代码仓库可访问：https://github.com/SuperDARN/rst SuperDARN所支撑的科研成果，得益于全球多国科学家与工程师团队的通力协作：他们参与雷达的搭建与运维、数据处理与开放共享、数据产品的开发迭代，并为用户提供数据解译协助。SuperDARN数据及数据产品的使用者需在学术报告与出版物中致谢此项支持，具体的致谢规范说明如下。 此外，在投稿发表前，请务必与SuperDARN项目首席研究员（PI）取得沟通。包含雷达站点与首席研究员联系方式的列表可查阅：(SuperDARN雷达概览) <strong>SuperDARN数据使用推荐致谢格式：</strong> '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、英国以及美国的国家科学基金机构资助的雷达探测阵列。'