15 minutes resolution

The SEVIRI cloud mask dataset has been generated and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) to enhance the cloud property dataset CLAAS. The SEVIRI cloud mask dataset contains the cloud mask in 15 minutes temporal resolution. The dataset is pixel based, where a SEVIRI pixel is about 4x4 km² in size, depending on location in SEVIRI's field of view. The data are provided with regional coverage from ± 60° N/S and ± 60° E/W. Inter-calibrated effective radiances of Meteosat-8 and 9 form the basis of the cloud mask dataset which spans 9 years from 2004 to 2012. The dataset is complemented with a comprehensive documentation of the algorithms used and the generation of the dataset. Validation studies and user guidance are available as well. With this dataset, small, regional and large scale cloud processes at temporal scales of hours to years can be studied. In addition, the dataset is suited for all applications in which a conservative cloud mask is essential (e.g. land surface, aerosol or trace gas retrievals).

SEVIRI云掩膜数据集由欧洲气象卫星组织（EUMETSAT）气候监测卫星应用设施（CM SAF）生成并发布，用于完善云属性数据集CLAAS。该数据集提供时间分辨率为15分钟的云掩膜产品。数据集基于像元构建，单个SEVIRI像元尺寸约为4×4平方千米，具体大小取决于其在SEVIRI视场内的位置。数据覆盖范围为南北纬±60°、东西经±60°的区域。经过交叉定标的Meteosat-8和Meteosat-9有效辐射率是该云掩膜数据集的基础数据源，数据集时间跨度为2004年至2012年，共计9年。该数据集附带所用算法及数据集生成流程的完整文档，同时提供验证研究资料与用户使用指南。依托该数据集，可开展小时至年尺度下的小尺度、区域尺度及大尺度云过程研究。此外，该数据集适用于所有需要保守型云掩膜的应用场景（例如地表、气溶胶或痕量气体反演）。