Polarized radiation fields generated by the 128-stream Adding-Doubling Model and the PINN models
收藏NIAID Data Ecosystem2026-05-02 收录
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资源简介：
Physics-Informed Neural Network (PINN) models are trained to improve the efficiency of polarized radiative transfer models (PRTMs). This dataset contains the PINN model predictions and evaluation data generated by the 128-stream Adding-Doubling Model. R_*cloudType_*model.txt refers to the reflection field. T_*cloudType_*model.txt refers to the transmission field. The unit of IQUV is W/(m^2*sr*um).
创建时间：
2025-01-22
