🧊 Polar Ice Dynamics — Sea-Ice & Albedo Feedback

🧊 What It Demonstrates

This simulator models Arctic sea-ice dynamics on a simplified polar grid. Each cell can be open ocean or ice, and its state depends on the local energy balance: incoming solar radiation (which varies with season and latitude), reflected radiation (governed by albedo — ice reflects ~60 % of sunlight while open water absorbs ~94 %), and outgoing longwave emission modified by greenhouse forcing. The critical insight is the ice–albedo positive feedback: as ice melts, darker ocean absorbs more heat, accelerating further melt — potentially triggering an abrupt tipping point.

How to Use

• CO₂ Level adjusts greenhouse forcing — higher values trap more outgoing longwave, warming the surface.
• Solar Multiplier scales incoming insolation (useful for modelling Milankovitch-like changes).
• Sim Speed controls how many decades pass per second.
• Toggle Grid overlay to see the individual polar cells.
• The Extent chart plots ice coverage over time so you can spot tipping points.

Did You Know?

Arctic sea-ice extent has declined by roughly 13 % per decade (September minimum) since satellite observations began in 1979. The ice–albedo feedback is one of the strongest amplifying mechanisms in the climate system. During the Eocene thermal maximum (~50 Ma), CO₂ exceeded 1 000 ppm and the Arctic was ice-free, with crocodiles living above the Arctic Circle. Some models project an ice-free Arctic summer before 2050 under high-emission scenarios.