SuperDARN Grid data in netCDF format (2001-Jun)

2001-Jun 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.'2001年6月的netCDF（网络通用数据格式，Network Common Data Form）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，结合AACGM v2（高度校正地磁坐标系）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工具包可于以下链接获取：https://github.com/SuperDARN/rst。 SuperDARN相关研究的顺利开展，离不开全球多国科学家与工程师团队的共同努力：他们负责雷达的搭建与运维、数据处理与开放共享、数据产品的开发迭代，以及为用户提供数据解译协助。使用SuperDARN数据及数据产品的用户，需在学术报告与发表论文中对该项支持予以致谢。下文将提供SuperDARN数据使用致谢的简要表述规范。 若拟将基于本数据的研究成果提交发表，用户需提前咨询SuperDARN项目的首席研究员（Principal Investigator，PI）。包含联络信息的雷达与PI列表可参见：<strong>SuperDARN雷达概览</strong>。 <strong>SuperDARN数据使用推荐致谢格式：</strong> '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资助机构支持建设的雷达组网系统。'