SuperDARN Grid data in netCDF format (2000-Feb)

2000-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.'2000年2月的SuperDARN雷达数据，采用netCDF（网络通用数据格式）存储。本批次数据文件基于公开的FitACF与make_grid算法3.0版本生成，采用AACGM v2坐标系统。若在学术出版物中使用本数据集，请引用该数据集。 相关RST工具包可在此处获取：https://github.com/SuperDARN/rst SuperDARN所支撑的各项研究成果，离不开全球多国科学家与工程师团队的共同努力——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予以致谢。下文提供了SuperDARN数据使用的致谢规范说明。 若拟将研究成果投稿至学术期刊，用户需提前与SuperDARN的项目首席研究员（Principal Investigator，PI）取得沟通。包含雷达名录与项目负责人联系方式的列表，可在此处查阅：（SuperDARN雷达概览） <strong>SuperDARN数据使用的标准致谢格式：</strong> "作者对使用SuperDARN数据深表致谢。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。"