SuperDARN Grid data in netCDF format (2003-Apr)

2003-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.'2003年4月的SuperDARN雷达数据采用netCDF格式存储。本批数据基于公开的FitACF与make_grid算法的3.0版本，以及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。相关研究支持工具（RST）可在此获取：https://github.com/SuperDARN/rst SuperDARN相关研究的顺利开展，有赖于多国科学家与工程师团队的共同贡献：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工作致谢。下文提供了SuperDARN数据使用致谢的规范表述示例。 此外，拟投稿发表的研究成果需先与SuperDARN项目首席研究员（PI）沟通。包含雷达清单及首席研究员联系方式的信息可在此查阅：《SuperDARN雷达概览》 **推荐的SuperDARN数据使用致谢格式：**"作者感谢SuperDARN数据的使用许可。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。"