The geological record shows that supervolcanic eruptions capable of causing multi-year global cooling events occur approximately every 17,000 years. The last such event was the Toba eruption 74,000 years ago, which may have reduced global temperatures by 3-5°C for several years. Modern civilization has no defense against such a catastrophe - until now.
Stratospheric aerosol injection (SAI) proposes to mimic nature's own cooling mechanism. When volcanoes erupt, they inject sulfur dioxide (SO2) into the stratosphere where it forms sulfate aerosols that reflect sunlight back into space. Our modeling suggests we could artificially create this effect to counteract volcanic winter scenarios.
We've developed a multi-scale modeling framework to simulate controlled sulfur injections:
These simulate the formation and growth of sulfate particles from SO2 gas:
Using computational fluid dynamics to predict aerosol plume behavior:
∂C/∂t + u·∇C = ∇·(K∇C) + S - L
Where C is concentration, u is wind velocity, K is diffusivity, S is sources, and L is losses.
Coupled atmosphere-ocean general circulation models (AOGCMs) with sulfate aerosol modules:
Our most comprehensive simulation to date models a Toba-scale eruption (1000 Tg SO2) with counteracting injections:
Scenario | Temperature Anomaly (°C) | Precipitation Change (%) | Aerosol Lifetime (months) |
---|---|---|---|
No intervention | -4.2 ± 0.8 | -15 ± 5 | 36 ± 6 |
Continuous SAI (10 Tg SO2/yr) | -1.5 ± 0.6 | -7 ± 4 | 24 ± 4 |
Pulsed SAI (20 Tg SO2 biannually) | -2.1 ± 0.7 | -9 ± 4 | 28 ± 5 |
Current commercial aircraft cannot efficiently deliver payloads at stratospheric altitudes. Our modeling suggests specialized aircraft would need:
Sulfur compounds must be carefully chosen for optimal effect:
Our models identify several concerning secondary effects:
The timing of injections proves critical in simulations:
Based on current technology estimates, annual costs would include:
The simulations clearly show that unilateral deployment would create dangerous asymmetries:
The most urgent modeling improvements identified:
Tier 1: Process-scale models (microphysics, chemistry)
Tier 2: Regional dispersion and climate impact models
Tier 3: Integrated assessment models (climate-economy-agriculture)
Tier 4: Decision support systems for policymakers
The largest known Quaternary eruption serves as our benchmark scenario. Our models suggest:
The "Year Without a Summer" provides valuable validation data. Our hindcasting experiments show: