风云极轨卫星总/云冰水路径反演数据集（2010-2024）

此数据集基于我国自主极轨气象卫星风云三号系列卫星的微波湿度计数据，采用机器学习的方法生成了2010-2024年总/云冰水路径数据。该数据集包括L2产品（星下点15km）以及网格化L3月均产品（1°×1°）。通过与主动遥感仪器的产品对比得出，此数据集的精度已经达到了与主动仪器产品相当的水平.本数据集填补了我国自主卫星长时间序列的总/云冰水路径数据的空白，为我国科技自立自强以及继续在全球气候变化研究领域发挥引领作用做出了贡献。This dataset is generated using machine learning techniques based on measurements from the microwave humidity sounders aboard the Fengyun-3 (FY-3) series of China's independently developed polar-orbiting meteorological satellites, providing total and cloud ice water path data for the period 2010 to 2024. It includes two main product sets: L2 products (15 km at nadir) and gridded L3 monthly-averaged products with a spatial resolution of 1° × 1°. Validation against products from active remote sensing instruments demonstrates that the accuracy of this dataset is comparable to that of active instrument products. This dataset fills the gap in long-term total and cloud ice water path datasets derived from China's independently developed satellites, supporting China's self-reliance and strength in science and technology, as well as contributing to China's continued leading role in global climate change research.