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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Claim

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

Research datakeyboard_double_arrow_right Dataset 22 Jan 2025Publisher:Zenodo
Authors: Ling, Yuxiang;

doi: 10.5281/zenodo.14718954 , 10.5281/zenodo.14718955

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

Abstract

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).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average