Climate Insights Dashboard

Climate Variables
Adjust the sliders to generate a new prediction.
Prediction & AI Analysis
The predicted climate outcome based on your inputs, compared to today.

Your predicted temperature anomaly will appear here.

Adjust the climate variables and generate a prediction.

Data Visualizations
Explore trends, comparisons, and feature importance.
Prediction History
Your last 5 predictions made in this session.
AnomalySSTLandCO₂Precip
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Explanations & Insights

Sea Surface Temperature (SST)

A key indicator of the ocean's heat content. Warmer oceans transfer more heat to the atmosphere, directly influencing global temperatures.

Land Temperature

The temperature of the Earth's land surface. It responds more quickly to changes in atmospheric composition than ocean temperatures do.

CO₂ Levels (ppm)

Carbon dioxide is a primary greenhouse gas. Higher concentrations trap more heat, leading to a non-linear increase in global temperatures.

Precipitation

Changes in precipitation patterns are linked to temperature. It can have complex feedback effects on local and global climates.

Model Accuracy

This dashboard uses a mock XGBoost model. A real model trained on historical data can achieve high accuracy, e.g., an RMSE of 0.067°C.

General Insight

Climate models show that interactions between variables are complex. For example, rising CO₂ not only increases temperature but also alters precipitation.