earth-science

Climate Science

The physics of Earth's climate system — greenhouse gases, feedback loops, carbon cycles, and their consequences.

climate changegreenhouse effectcarbon cyclesea levelalbedofeedback loops

Climate science studies the physical processes that determine Earth's temperature and weather patterns. The greenhouse effect, first described by Joseph Fourier in 1824 and quantified by Svante Arrhenius in 1896, explains how certain gases trap outgoing infrared radiation, warming the planet's surface. Without the natural greenhouse effect, Earth's average temperature would be -18°C instead of +15°C.

Human activities — primarily burning fossil fuels and deforestation — have increased atmospheric CO₂ from 280 ppm (pre-industrial) to over 420 ppm today. This enhanced greenhouse effect has raised global temperatures by approximately 1.2°C since 1850, with consequences for sea level, ice sheets, weather extremes, and ecosystems.

These simulations let you manipulate the key variables of the climate system: adjust greenhouse gas concentrations and watch temperatures respond, trace carbon flows through the Earth system, see how ice-albedo feedback amplifies warming, and project sea level rise under different emission scenarios.

4 interactive simulations

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Carbon Cycle Simulator

Model the global carbon cycle as a box model with atmosphere, ocean, land, and fossil fuel reservoirs. Explore how emission rates, ocean uptake, and deforestation determine atmospheric CO₂ concentration and the airborne fraction over time.

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Greenhouse Effect Simulator

Explore how CO₂ concentration, solar radiation, and albedo determine Earth's surface temperature through the greenhouse effect. Based on the Stefan-Boltzmann radiation law with optical depth parameterization first proposed by Arrhenius (1896) and refined in modern climate models.

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Ice-Albedo Feedback Simulator

Visualize the ice-albedo positive feedback loop: warming melts ice, exposing dark ocean and land, which absorbs more radiation, causing further warming. Compare temperature trajectories with and without feedback to understand amplification factors in the climate system.

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Sea Level Rise Simulator

Model multi-component sea level rise from thermal expansion, glacier melt, and ice sheet disintegration. Visualize how warming scenarios translate to coastline flooding and understand why ice sheet contributions accelerate nonlinearly above temperature thresholds.