Dataset for "Polarimetric retrieval of raindrop size distribution: double-moment normalization approach and machine learning techniques"
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This is the dataset for the publication [1]. This dataset contains:1) Training dataset (train_data.pkl)2) Independent validation dataset (test_data.pkl) This dataset was also used for the publication [2]. The training and validation datasets were merged in [2]. References [1] Shin, K., Kim, K., Song, J. J., & Lee, G. (2024). Polarimetric Retrieval of Raindrop Size Distribution: Double‐Moment Normalization Approach and Machine Learning Techniques. Geophysical Research Letters, 51(1), e2023GL106057. https://doi.org/10.1029/2023GL106057 [2] Tapiador, F. J., Shin, K., Leganés, L. J., Lim, K.-S., Juárez, G., Bang, W., et al. (2025). A Physically Consistent Particle Size Distribution Modelling of the Microphysics of Precipitation for Weather and Climate Models. Submitted.
本数据集为文献[1]的配套数据集。本数据集包含以下内容：1）训练数据集（train_data.pkl）；2）独立验证数据集（test_data.pkl）。 本数据集同时被应用于文献[2]的研究中，且在文献[2]中训练数据集与验证数据集被合并使用。 参考文献 [1] Shin, K., Kim, K., Song, J. J., & Lee, G. (2024). 雨滴粒径分布的偏振反演：双矩归一化方法与机器学习技术. 《地球物理研究快报》, 51(1), e2023GL106057. https://doi.org/10.1029/2023GL106057 [2] Tapiador, F. J., Shin, K., Leganés, L. J., Lim, K.-S., Juárez, G., Bang, W., 等. (2025). 面向天气与气候模式的降水微物理过程物理一致性粒径分布建模. 已投稿.
