Data for Quantification of Shortwave Surface Albedo Feedback using a Neural Network Approach
Published: 13 December 2023| Version 1 | DOI: 10.17632/y4yr9pf8kn.1
Contributors:
Diana Laura Diaz Garcia, Description
This dataset includes the training and testing of the Neural Network models proposed in the article titled "Quantification of Shortwave Surface Albedo Feedback using a Neural Network Approach". It comprises two folders: one with the training and testing of the heuristic NN model and the other containing the training and testing of the global NN model. The necessary datasets can be found in the 'data/' folder, as well as the NN model used in the article. The Python file 'my_functions.py' contains the necessary developed functions. For more information please refer to our article.
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Institutions
McGill University Faculty of Science
Categories
Atmospheric Science, Neural Network Model