气象卫星专题气候产品数据集-陆表温度（LST）（2009-2019）

FY-3A/B/C VIRR重处理陆表温度（Land Surface Temperature：LST）日产品数据集V1.0（2009-2019）是利用FY-3A/B/C VIRR L1级数据的两个热红外通道（中心波长10.8 um 与12.0um），通过MODTRAN辐射传输模拟，建立基于FY3A/B/C VIRR亮温数据的统一的LST分裂窗反演算法（Sobrino分裂窗算法），通过云检测、积雪掩码、质量控制等工程化处理，实现晴空背景下的陆表温度反演。数据集将在国内和国际免费共享。

The FY-3A/B/C VIRR Reprocessed Daily Land Surface Temperature (LST) Product Dataset V1.0 (2009–2019) was developed using two thermal infrared channels (central wavelengths 10.8 μm and 12.0 μm) from FY-3A/B/C VIRR Level-1 data. Via MODTRAN radiative transfer simulation, a unified LST split-window retrieval algorithm (Sobrino split-window algorithm) based on FY-3A/B/C VIRR brightness temperature data was established. Through engineering processing such as cloud detection, snow cover masking, and quality control, LST retrieval under clear-sky conditions is realized. This dataset will be freely shared domestically and internationally.