Wallops SuperDARN data in netCDF format (2019-Nov)

2019-Nov 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.'本数据集为2019年11月沃洛普斯（Wallops）SuperDARN雷达的网络通用数据格式（netCDF）数据，所有数据文件均基于AACGM v2坐标系，采用公开的FitACF算法2.5与3.0版本生成。 若在学术出版物中使用本数据集，请引用该数据集。相关RST工具包可通过以下链接获取：https://github.com/SuperDARN/rst SuperDARN相关研究的顺利开展，离不开全球多国科研团队与工程人员的共同付出：他们负责雷达的搭建与运维、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数据使用的标准致谢表述示例。 若拟将研究成果投稿至学术期刊，用户需提前与SuperDARN项目首席研究员（Principal Investigator, PI）沟通。含雷达设备与PI联系方式的清单可通过以下链接查阅：（SuperDARN雷达概览） <strong>SuperDARN数据使用的标准致谢模板：</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、英国及美国的国家科学资助机构支持建设的雷达观测阵列。'