Climate Modeling
Analyze climate patterns and predict future models using open data
Introduction to Climate Modeling
This project uses global temperature datasets and machine learning to predict future climate trends. The models help researchers visualize potential global climate changes.
Data Sources
- NOAA Global Temperature Dataset
- HadCRUT5 data
- Climate Model Output
Tools Used
- Python Analysis
- MATLAB for visualization
- Jupyter Notebooks
How It Works
import pandas as pd
# Load climate data
data = pd.read_csv('climate_data.csv')
# Clean and visualize data
data.plot(x="Year", y="Temperature Anomaly")
This basic Python script cleans and visualizes climate data changes over time. The full project includes complex predictive models and simulations.
Ready to Make a Difference?
Climate modeling is essential for understanding our planet's future. You can contribute to this important project by:
- Improving data accuracy
- Developing better predictive algorithms
- Creating interactive visualizations
- Helping translate findings to stakeholders