Published December 15, 2023 | Version v1
Dataset Open

Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach (Example codes)

  • 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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