Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (Example codes)
## Introduction This folder contains example code used in our paper with the title "Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach". These scripts are intended to demonstrate key functionalities and calculations described in the paper. ## Files Description...
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| Format: | Other/Unknown Material |
| Language: | unknown |
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Zenodo
2023
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| Online Access: | https://doi.org/10.5281/zenodo.10390577 |
| Summary: | ## Introduction This folder contains example code used in our paper with the title "Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach". These scripts are intended to demonstrate key functionalities and calculations described in the paper. ## Files Description 1. **DL_Model_test.py** - Description: Loads the trained deep learning algorithms featured in the paper. - Functionality: Demonstrates the use of the model with example data points. 2. **SIC_class_contribution.py** - Description: Calculates the class contribution for Sea Ice Concentration (SIC). - Note: The procedure can be adapted for other fields in a similar manner. ## Requirements the requred linrary are listed in the code header |
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