Quantification of Shortwave Surface Albedo Feedback Using a Neural Network Approach

Quantification of Shortwave Surface Albedo Feedback Using a Neural Network Approach

Radiative transfer is a nonlinear process. Despite this, most current methods to evaluate radiative feedback, such as the kernel method, rely on linear assumptions. Neural network (NN) models can emulate nonlinear radiative transfer due to their structure and activation functions. This study aims to...

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Bibliographic Details
Main Authors: Diana Laura Diaz Garcia, Yi Huang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Atmosphere
Subjects:
neural networks
nonlinearity
radiative transfer
radiative feedback
sensitivity
Online Access:https://www.mdpi.com/2073-4433/15/2/150

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