🏔️ Varve Formation: Annual Lake Sediment Layers
Explore how varves — annual pairs of light and dark sediment layers deposited in glacial lakes — form a natural year-by-year calendar, and how scientists use them to date the past and reconstruct ancient climates.
The simulator shows how a single glacial lake basin builds up its layered floor year after year, illustrating how the spring meltwater pulse deposits a coarse light layer, how winter stillness deposits a thin dark layer, and how varying yearly conditions, warmer or colder, wetter or drier, change the resulting thickness of each layer, producing a visible climate record you can read directly from the stacked sediment.
🔬 What It Demonstrates
The simulator shows how a single glacial lake basin builds up its layered floor year after year, illustrating how the spring meltwater pulse deposits a coarse light layer, how winter stillness deposits a thin dark layer, and how varying yearly conditions, warmer or colder, wetter or drier, change the resulting thickness of each layer, producing a visible climate record you can read directly from the stacked sediment.
🎮 How to Use
Adjust the yearly climate conditions to control how much meltwater and sediment enters the lake each spring, then step or run forward through simulated years to watch the sediment core build up layer by layer. Compare varve thickness across different simulated years to see how warmer years produce thicker coarse layers, then use the core viewer to count and inspect individual annual pairs the way a real geologist would.
💡 Did You Know?
Some Scandinavian varve chronologies, first pieced together starting with Gerard De Geer over a century ago, now span more than thirteen thousand consecutive years counted layer by layer, offering a year-by-year record of the end of the last Ice Age with a precision that predates and independently supports radiocarbon dating.
Explore how varves — annual pairs of light and dark sediment layers deposited in glacial lakes — form a natural year-by-year calendar, and how scientists use them to date the past and reconstruct ancient climates.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install