1998-2017年全球年季月0.25度海面降雨数据集

全球降雨数据集基于GPCP、TRMM、GPM等卫星遥感数据和台站实测数据，利用卡尔曼滤波和小波融合算法对三种数据进行最优选择和融合制作而成。该数据集包括月、季、年三种时间尺度，时间范围为1998.01-2017.12，空间分辨率为0.25度。与已有产品数据集的质量对比分析表明，该数据集质量优于已有降水产品，尤其在局部区域。

The global rainfall dataset is developed based on satellite remote sensing data (including GPCP, TRMM, GPM, etc.) and in-situ station observation data, through optimal selection and fusion of the three types of data using Kalman Filter and Wavelet Fusion Algorithm. This dataset covers three temporal scales: monthly, seasonal and annual, with a temporal range of 1998.01 to 2017.12 and a spatial resolution of 0.25°. Comparative quality analysis against existing precipitation product datasets demonstrates that this dataset outperforms existing precipitation products, especially in local regions.