How do I simulate a sea-level rise?

Open this page and use the live Coastal Erosion tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.

Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.

Can I use my own numbers?

Absolutely — every input is adjustable, and with data import you can drive a sea-level rise from your own measurements.

Use case · powered by Coastal Erosion

Coastal Erosion for a sea-level rise

Simulate a sea-level rise live in your browser. This runs the real Coastal Erosion solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

For:Students Researchers Educators Engineers Hobbyists & Makers K-12 Students First Responders

Tsunami

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Tsunami PropagationLive

shallow-water waves · shoaling

Controls

Speed1×

Presets

Ocean depth (m)

Deep-water amplitude (m)

A tsunami is a shallow-water wave even in the deep ocean, travelling at √(g·h). Over 4 km of water that is roughly 700 km/h — jet speed — yet only tens of centimeters high. As it reaches shallow coast it slows and its amplitude grows as h^(−1/4) (Green's law), piling into a destructive wall.

▶ Run in Python

Data Inspector

Current speed0 km/h

Deep amplitude0.5 m

Coastal amplitude0.0 m

Governing equation

v = g h = 9.81 \cdot 4000 = 198 \frac{m}{s}

Reading this result: At 4000 m depth the pulse moves at ~713 km/h; Green law shoaling then amplifies its 0.5 m deep-water height as it nears the coast.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Spatial Interpolation

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Spatial Interpolation (IDW)Live

filling the gaps between measurements

Controls

Presets

Power parameter

Given scattered measurements — rainfall gauges, soil samples, air-quality sensors — inverse-distance weighting estimates values everywhere in between. Each sample's influence falls off with distance raised to a power: a low power gives smooth, blended surfaces; a high power makes each sample dominate its neighborhood in sharp bull's-eyes. The workhorse of GIS mapping.

▶ Run in Python

Data Inspector

Samples8

Power p2.0

Characterbalanced

Governing equation

\overset{z}{^} (x) = \frac{\sum _{i} w _{i} z _{i}}{\sum _{i} w _{i}}, w_{i} = \frac{1}{d _{i}^{2.0}}

Reading this result: At power 2.0 nearby samples win but distant ones still contribute — a balanced surface between smooth and spiky.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

or unlock everything with Pro →

About this simulation

The full Coastal Erosion tool models a sea-level rise with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

More you can do with Coastal Erosion

Coastal Erosion for an earthquake Coastal Erosion for a volcano Coastal Erosion for a glacier melt Coastal Erosion for a tsunami Coastal Erosion for a river flood Coastal Erosion for an ocean current Coastal Erosion for a carbon cycle Coastal Erosion for a tectonic plate

Other ways to simulate a sea-level rise

Energy Balance for a sea-level rise Daisyworld for a sea-level rise Milankovitch Cycles for a sea-level rise Tsunami Propagation for a sea-level rise Carbon Cycle for a sea-level rise Earthquake Shaking for a sea-level rise

Frequently asked questions

How do I simulate a sea-level rise?: Open this page and use the live Coastal Erosion tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?: Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?: Absolutely — every input is adjustable, and with data import you can drive a sea-level rise from your own measurements.