Climate Studies

This Python project is focused on analyzing and studying climate data. It provides tools and scripts for data processing, visualization, and modeling to support climate research.

Features

• Data ingestion and preprocessing
• Climate data analysis and visualization
• Statistical modeling and forecasting
• Modular and extensible codebase

Getting Started

1. Clone the repository:

   git clone https://github.com/your-username/Climate-Studies.git
   cd Climate-Studies
   

2. Create virtual environment:

   python -m venev env
   

3. Activate the virtual environment:

   For Linux/macOS:

   source env/bin/activate
   

   For Windows:

   env\Scripts\activate 
   

4. Install dependencies:

   pip install -r requirements.txt
   

5. Run the scripts:

   Using bash:

   1. Make it executable:

   chmod +x run.sh
   

   2. Run it:

   ./run.sh
   

   Using powershell or command prompt:

   powershell -File run.ps1
   

   or

   powershell -ExecutionPolicy Bypass -File run.ps1
   

Project Structure

Climate-Studies/
├── CO2-Concentration-Forecast/                 # each sub project directory contains a mian.py
│   ├── main.py
.
.
.
.
├── datasets/                        # conatains data files
├── run.sh/run.ps1                   # platform specific run scripts for the project
├── requirements.txt                 # package dependencies list
└── README.md