Global aeolian dust variations and trends: a revisit of dust event and visibility observations from surface weather stations

Dr. Xin Xi at Michigan Tech is leading an effort to create a homogenized weather station-based dust-climate dataset (duISD) in support of wind erosion monitoring, dust source mapping, and dust-climate analysis at local to global scales. Current version (v1) of duISD consists of CSV files documenting the monthly dust event frequency and inverse visibility derived from the SYNOP report data of the NOAA Integrated Surface Database (ISD). The temporal coverage varies by station, with some going back to the 1950s. Refer to the README file for details.
duISD v1 is associated with a research paper, titled "Global aeolian dust variations and trends: a revisit of dust event and visibility observations from surface weather stations", currently under review at Atmospheric Chemistry and Physics (https://acp.copernicus.org/preprints/acp-2020-813/).
Please use appropriate citation when using this dataset, and contact Dr. Xin Xi, ([e-mail], https://ixnix.github.io/abci/ ) if you have questions.

密歇根理工大学的席鑫博士正牵头构建一套基于气象站的均一化沙尘-气候数据集（duISD），旨在支撑从局地到全球尺度的风蚀监测、沙尘源区制图以及沙尘-气候分析。该数据集的v1版本包含若干CSV文件，记录了从美国国家海洋和大气管理局（NOAA）综合地面数据库（ISD）的SYNOP观测报告数据中提取得到的月度沙尘事件频次与反向能见度数据。各气象站的时间覆盖范围各不相同，部分站点的数据可追溯至20世纪50年代。详细信息请参阅README文件。
duISD v1版本关联一篇题为《全球风成沙尘变化与趋势：重新审视地面气象站的沙尘事件与能见度观测》的研究论文，该论文目前正在《大气化学与物理》（Atmospheric Chemistry and Physics）期刊接受审稿，预印本链接为https://acp.copernicus.org/preprints/acp-2020-813/。
使用该数据集时请规范引用，如有疑问可联系席鑫博士（邮箱：[e-mail]，个人主页：https://ixnix.github.io/abci/）。