Published January 22, 2025
| Version v1
Dataset
Open
Polarized radiation fields generated by the 128-stream Adding-Doubling Model and the PINN models
Description
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).
Files
R_ice_ADM.txt
Files
(1.8 MB)
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