Published January 22, 2025 | Version v1

Polarized radiation fields generated by the 128-stream Adding-Doubling Model and the PINN models

Authors/Creators

  • 1. ROR icon Nanjing University of Information Science and Technology

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

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