Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (Example codes)
Creators
- 1. Leipzig Institute for Meteorology, Leipzig University, Stephanstr. 3, 04103 Leipzig, Germany
Description
## 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
Files
Code_examples.zip
Files
(248.4 MB)
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