Wallops SuperDARN data in netCDF format (2022-Dec)

2022-Dec Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, 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.'2022年12月沃洛普斯（Wallops）SuperDARN雷达网netCDF格式数据集。本数据集采用公开的FitACF算法（FitACF）2.5与3.0版本生成，坐标系采用AACGM v2（AACGM v2）。若在学术出版物中使用本数据集，请予以引用。相关RST代码库可访问：https://github.com/SuperDARN/rst 依托SuperDARN开展的研究成果，离不开全球多国科研团队与工程师的共同努力：他们参与雷达的搭建与运维、数据处理与共享、数据产品的开发迭代，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谢。下文提供了SuperDARN数据使用致谢的规范表述模板。 此外，若拟将研究成果投稿发表，建议用户先咨询SuperDARN项目首席研究员。包含雷达列表及首席研究员联系方式的信息可参阅：（SuperDARN雷达概览） <strong>SuperDARN数据使用推荐致谢格式：</strong>"作者感谢SuperDARN数据的使用支持。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共同资助的雷达观测网。"