Sentinel-5P TROPOMI – Cloud Fraction (CF), Level 3 – Global

The TROPOMI instrument onboard the Copernicus SENTINEL-5 Precursor satellite is a nadir-viewing, imaging spectrometer that provides global measurements of atmospheric properties and constituents on a daily basis. It is contributing to monitoring air quality and climate, providing critical information to services and decision makers. The instrument uses passive remote sensing techniques by measuring the top of atmosphere solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum. The operational trace gas products generated at DLR on behave ESA are: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4), together with clouds and aerosol properties. This product displays the Cloud Fraction (CF) around the globe. Clouds play a crucial role in the Earth's climate system and have significant effects on trace gas retrievals. The radiometric cloud fraction is retrieved from the UV using the OCRA algorithm. Daily observations are binned onto a regular latitude-longitude grid. This product is created in the scope of the project INPULS. It develops (a) innovative retrieval algorithms and processors for the generation of value-added products from the atmospheric Copernicus missions Sentinel-5 Precursor, Sentinel-4, and Sentinel-5, (b) cloud-based (re)processing systems, (c) improved data discovery and access technologies as well as server-side analytics for the users, and (d) data visualization services.哥白尼（Copernicus）哨兵5号前驱（SENTINEL-5 Precursor）卫星搭载的TROPOMI仪器是一台天底观测型成像光谱仪，可每日开展全球大气属性与组分的测量工作。该仪器助力空气质量与气候监测，为相关服务机构及决策者提供关键信息。 本仪器采用被动遥感技术，通过测量地球及其大气反射与辐射的大气顶太阳辐射开展观测。TROPOMI搭载的四台光谱仪覆盖电磁波谱的紫外（UV）、可见光（VIS）、近红外（NIR）以及短波红外（SWIR）波段。由德国航空航天中心（DLR）代表欧洲空间局（ESA）生成的业务痕量气体产品包括：臭氧（O₃）、二氧化氮（NO₂）、二氧化硫（SO₂）、甲醛（HCHO）、一氧化碳（CO）与甲烷（CH₄），以及云与气溶胶属性数据。 本数据集展示全球范围内的云量分数（CF）。云在地球气候系统中发挥关键作用，且对痕量气体反演具有显著影响。辐射云量分数通过OCRA算法从紫外波段数据中反演得到。每日观测数据被网格化至规则的经纬网格。 本数据集由INPULS项目研发生成。该项目旨在：(a) 研发创新型反演算法与处理器，用于生成哥白尼大气任务Sentinel-5 Precursor、Sentinel-4及Sentinel-5的增值产品；(b) 构建基于云的（再）处理系统；(c) 改进面向用户的数据发现与访问技术及服务端分析工具；(d) 提供数据可视化服务。