The maladaptation critique of snowmaking is that it consumes more water and energy exactly as warming makes both scarcer, while locking resorts into a path that cannot outrun the thermometer. Much of that is evidentially sound. What the critique systematically omits is the efficiency of each cubic metre made — the one variable that changes the arithmetic on both sides.
This is a debate worth engaging on its own terms rather than dismissing. The peer-reviewed case against snowmaking-as-adaptation is stronger than the industry usually admits, and weaker in one specific place than its advocates usually notice. Below: what the data supports, what it does not, and where the argument is actually stuck.
Key takeaways
- The critique's strongest evidence is demand growth: Canadian snowmaking water and energy needs are projected to rise 55–97% by 2050 (Steiger et al. 2024), and French Alps water demand scenarios run 13 → 42 → 54 Mm³.
- Its weakest claim is emissions scale: Austrian snowmaking uses 281 GWh/season, 0.46% of national electricity, at roughly 130 g CO₂ per skier visit — grid-dependent, not inherently large.
- Snowmaking demonstrably changes outcomes: at +2 °C, the share of European resorts at very-high snow-scarcity risk falls from 53% to 27% with 50% snowmaking coverage (François et al. 2023).
- Both sides argue about volume and ignore intensity — water and energy per cubic metre of snow. That is the omitted variable.
- Chemistry is the missing fifth lever: it reduces water and energy per m³, complementing renewables, reclamation, automation, and demand reduction rather than replacing them.
- Nothing here reverses warming. Adaptation buys operating margin inside a shrinking window; it does not extend the window indefinitely.
What is the maladaptation critique of snowmaking?
That snowmaking is adaptation which deepens the underlying problem: it raises water abstraction and electricity demand as warming intensifies, adds emissions, concentrates advantage in capital-rich resorts, and locks operators into infrastructure that becomes less effective the warmer it gets. Steiger and colleagues frame it precisely as "(mal)adaptation" — with the parenthesis carrying the argument.
The critique has five distinct limbs, and they are not equally strong:
- Escalating resource demand — more snow required, in worse conditions, every decade.
- Emissions from adaptation — electricity and diesel spent defending a carbon-exposed leisure activity.
- Path dependency — capex commitments that assume a climate that will not hold.
- Distributional effects — only well-capitalised, higher-elevation resorts can buy their way through.
- Thermodynamic ceiling — above a certain wet-bulb temperature, no amount of infrastructure produces snow.
Treating these as one undifferentiated objection is how the industry loses the argument. Taken separately, three are well supported by data, one is overstated, and one is simply true and unavoidable.
What do the critics get right?
The demand trajectory, the ceiling, and the distributional point. Steiger et al. 2024 in Current Issues in Tourism quantified Canadian snowmaking at 478,000 MWh and 43.4 Mm³ of water to produce 42 Mm³ of snow, emitting 130,095 t CO₂ — and projected demand rising 55–97% by 2050. That is the core of the case, and it is a real finding.
The water trajectory in the Alps points the same way. Spandre et al. 2019 in Scientific Reports modelled French Alps snowmaking water demand rising from 13 Mm³ to 42 and then 54 Mm³ across their scenarios, with a ~44% snow-season loss at 1,500 m versus ~11% at 3,000 m. Add Carrer et al. 2023 in Nature Climate Change, which found the Alpine snowpack 36 days shorter than the long-term mean and unprecedented in 600 years, and the direction of travel is not in dispute.
The ceiling limb is also correct and worth stating plainly: snowmaking is thermodynamically bounded. Chemistry shifts the viable wet-bulb window; it does not abolish it. That boundary is explained in the wet-bulb temperature guide. And the distributional point holds — adaptation capacity tracks capital and elevation, which is why the exposure map is so uneven, as set out in will ski resorts survive climate change.
What does the critique get wrong?
The emissions scale, and the implication that snowmaking does not change outcomes. Both are testable, and the published numbers cut against the strong version of the critique. Snowmaking is a modest, grid-dependent emitter, and coverage measurably shifts resort risk in the climate models the critics themselves use.
| The claim | What the evidence shows | |---|---| | Snowmaking is a major emissions source | Austria: 281 GWh/season = 0.46% of national electricity, ~130 g CO₂/skier visit (Aigner, Steiger & Mayer 2026) | | It does not change resort viability | At +2 °C, very-high-risk share falls 53% → 27% with 50% snowmaking coverage (François et al. 2023) | | It is an unbounded cost spiral | Snowmaking is ~17% of daily opex at large Swiss resorts (Vorkauf et al. 2022) — significant, not runaway | | Resorts will close regardless | The models report snow-scarcity risk, not closure; risk is not fate |
The Austrian figures come from Aigner, Steiger & Mayer 2026 in CISS, which put Austrian snowmaking at 281 GWh and ~51 Mm³ of water per season, around 2,900 m³ per hectare, at roughly 130 g CO₂ per skier visit. Whether that number is defensible depends almost entirely on the grid it draws from — which makes it an argument about electricity supply, not about snowmaking as such.
On outcomes, François et al. 2023 in Nature Climate Change assessed 2,234 European resorts across 28 countries: 53% face very-high snow-scarcity risk at +2 °C without snowmaking, falling to 27% with 50% snowmaking coverage; at +4 °C, 98% falls to 71%. Snowmaking does not solve the problem at +4 °C — that is the honest reading — but at +2 °C it halves the exposed share. Note also what the metric says: very-high risk is not a closure forecast, and the underlying IPCC AR6 assessment reports low-elevation snow decline as a range of roughly 10–40%, not a point estimate.
The economic stake explains why operators keep spending anyway. Europe's ski economy runs at roughly €70B a year, Austrian winter tourism alone at €12.5B or about 6.2% of GDP, and Vanat's international report recorded 399M skier visits in 2024-25 — a record, alongside a US season that NSAA figures show fell about 14% the following year. Volatility of that magnitude is what capex is defending against.
Where is the debate actually stuck?
On volume. Critics count total water and energy; the industry counts snow produced and days open. Both are arguing about the numerator and the denominator separately, and almost nobody argues about the ratio — cubic metres of snow per kWh and per litre. That ratio is where the only real common ground sits.
Run the arithmetic on the Canadian figures and the point becomes concrete. Derived from Steiger's reported totals on the volume basis as published, 478,000 MWh and 130,095 t CO₂ for 42 Mm³ of snow is on the order of 11 kWh and 3 kg CO₂ per cubic metre. Any intervention that improves that intensity by a fifth reduces absolute energy, absolute water, and absolute emissions at constant production — or delivers more snow with none of them rising. It satisfies the critic's objective and the operator's objective simultaneously.
Two cautions on this arithmetic. Published snow volumes are quoted under different density conventions, so cross-study intensity comparisons need care — the measurement discipline is set out in snowmaking efficiency metrics. And efficiency gains can be spent on more production rather than less consumption; whether they are is a management choice, not a property of the technology.
Why does the standard framework miss it?
Because the accepted lever set stops at four: renewable electricity, water reclamation, automation and snow-optimisation software, and demand reduction. Every major industry and academic sustainability framework we have reviewed enumerates those and omits additive chemistry entirely — the one lever that acts on the freezing process itself.
The omission is structural rather than scientific:
- Equipment makers have little incentive to promote a drop-in additive that improves output without new hardware.
- The legacy chemistry incumbent is commercially dormant, so nobody markets the category.
- Academic reviewers find no operator-facing literature on additive efficiency, so the lever does not enter the frameworks.
- Campaigners engage with volumes and land use, not with process chemistry.
The result is a four-lever consensus that leaves the freezing process itself untouched. The case for treating chemistry as the fifth lever is set out in chemistry as the fifth lever, with the underlying energy and water baselines in snowmaking energy consumption and snowmaking water usage explained.
What is the honest operator position?
Concede the trajectory, publish the intensity, and defend the ratio rather than the volume. An operator who reports water and energy per cubic metre of snow, discloses grid mix, and shows the number improving is on solid ground. One who defends absolute consumption as a cost of doing business is not.
- Measure intensity per m³ and report it alongside skier visits.
- Decarbonise the input — the CO₂-per-visit figure is mostly a grid statement.
- Stack the levers, including chemistry, and account for each separately.
- Do not claim adaptation is a solution to warming. It buys margin inside a shrinking window.
- Accept the ceiling. Above a certain wet-bulb, the answer is a different business model, not more guns.
SL6733 is built for the intensity argument: a two-component polymer additive dosed at 6–7.6 ppm that, in modelled operator scenarios, delivers roughly a +3 °C wet-bulb advantage and 300–500 additional snowmaking hours per season — or the same snow for materially less water and energy. If you want that modelled against your own consumption and grid mix, request a pilot or send us a message.
Modelled figures (+3 °C wet-bulb advantage, 300–500 hours) are pre-commercial estimates; SL6733 is in pre-commercial pilot phase with EU lab pilots targeted for 2026/27. Warming levels cited (+2 °C, +4 °C) are warming thresholds, not calendar years, and snow-scarcity risk is not a closure forecast.