How do I simulate a carbon cycle?

Open this page and use the live Mass-Casualty Triage 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 carbon cycle from your own measurements.

Use case · powered by Mass-Casualty Triage

Mass-Casualty Triage for a carbon cycle

Simulate a carbon cycle live in your browser. This runs the real Mass-Casualty Triage 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

Triage

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START TriageLive

mass-casualty triage algorithm

Triage category

YELLOW

Delayed

Controls

Can the patient walk?

Is the patient breathing?

Presets

Respirations / min

24 /min

Perfusion (radial pulse / cap refill <2s)

Mental status (obeys commands)

Simple Triage And Rapid Treatment sorts mass-casualty patients in under 60 seconds each using RPM: Respirations, Perfusion, Mental status. Training reference only — follow your agency protocol and medical direction.

▶ Run in Python

Data Inspector

RR trigger>30/min

Perfusioncap refill 2s

StandardSTART adult

Triage criterion

RR = 24 \leq 30 \Rightarrow not RED by RR

Reading this result: RPM checks pass (RR 24/min, perfusion adequate, follows commands), so the patient is DELAYED (YELLOW).

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

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SIR Model

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SIR Epidemic ModelLive

compartmental disease dynamics

Controls

Presets

Basic reproduction R₀

Infectious period (days)

Initial immune (vaccinated)

The SIR model splits a population into Susceptible, Infected, and Recovered and lets them flow between compartments. R₀ — the average number infected by one case — sets whether an outbreak grows. Vaccinating above the herd-immunity threshold 1−1/R₀ prevents an epidemic outright.

▶ Run in Python

Data Inspector

Peak infected0.0%

Total infected0.0%

Herd immunity60%

Governing equation

\frac{d S}{d t} = - β S I, \frac{d I}{d t} = β S I - γ I, \frac{d R}{d t} = γ I; β = 0.357, γ = 0.143, R_{0} = \frac{β}{γ} = 2.50

Reading this result: R₀ = 2.50 > 1 with only 0% immune, so infections grow into an epidemic. You would need to immunize 60% (the herd-immunity threshold 1−1/R₀) to stop it; the current effective reproduction number is 2.50.

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

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About this simulation

The full Mass-Casualty Triage tool models a carbon cycle 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 Mass-Casualty Triage

Mass-Casualty Triage for an earthquake Mass-Casualty Triage for a volcano Mass-Casualty Triage for a glacier melt Mass-Casualty Triage for a tsunami Mass-Casualty Triage for a river flood Mass-Casualty Triage for an ocean current Mass-Casualty Triage for a sea-level rise Mass-Casualty Triage for a tectonic plate

Other ways to simulate a carbon cycle

Energy Balance for a carbon cycle Daisyworld for a carbon cycle Milankovitch Cycles for a carbon cycle Tsunami Propagation for a carbon cycle Carbon Cycle for a carbon cycle Earthquake Shaking for a carbon cycle

Frequently asked questions

How do I simulate a carbon cycle?: Open this page and use the live Mass-Casualty Triage 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 carbon cycle from your own measurements.