Radiative Transfer Simulation

• Python implementation of a radiative transfer simulation, which models the interaction of light with the Earth's atmosphere
• Particularly focusing on the influence of CO2 concentration on the outgoing radiation spectrum
• Forked from the original implementation of Science Etonnante

Introduction

• Radiative transfer simulations are essential tools in atmospheric science and climate modeling.
• They help understand how different factors, such as greenhouse gas concentrations, affect the Earth's energy balance and climate.

Features

• Simulates the propagation of electromagnetic radiation through the Earth's atmosphere
• Only considers the absorption and emission of radiation by CO2 molecules
• Uses various atmospheric temperature models:
  • Uniform temperature model
  • Simple atmospheric model
  • US1976 atmospheric model
• Generates different matplotlib plots at the top of the atmosphere for different CO2 concentrations

Requirements

• Python 3.7+

Installation

• Clone the repository

git clone https://github.com/Crossoufire/radiative-forcing.git

• Install the required dependencies

pip install -r requirements.txt

Usage

• You can adapt parameters to test different settings

params = {
    "CO2_frac": 280 * 10 ** -6,
    "z_max": 80000,
    "delta_z": 10,
    "lambda_min": 0.1 * 10 ** -6,
    "lambda_max": 100 * 10 ** -6,
    "delta_lambda": 0.01 * 10 ** -6,
    "model": temperature_uniform,
}

• Run the script

python radiative_forcing.py

License

This project is licensed under the MIT License - see the LICENSE file for details.