Arquivo da tag: Gestão da radiação solar

Plans to artificially dim the sun have divided scientists – here’s what they’re actually arguing about (The Conversation)

Original post

Publicado: 15 setembro 2026 12:03 -03

Benjamin Redmond Roche, Visiting Research Fellow, Solar Radiation Management Research Governance & Independent Consultant, UCL

No, President Joe Biden did not engineer Hurricane Milton. No, the ice-crystal contrails left behind high-altitude aircraft are not “chemtrails” sprayed by governments to control the weather or manipulate populations. No, state-run cloud seeding did not cause the record floods in Dubai.

Yet claims like these are widespread online and increasingly find their way into political rhetoric. This blurs the distinction between conspiracy theories about weather manipulation and the very real scientific debate over solar geoengineering.

Solar geoengineering, also known as solar radiation modification (SRM), would try to temporarily cool the climate by altering the amount of energy entering or leaving the Earth system. Outdoor field experiments are particularly contentious, with researchers and other experts divided over whether they should proceed at all and, if so, under what conditions.

The best-known proposal, stratospheric aerosol injection, involves dispersing sulphur dioxide high in the atmosphere, where it can form reflective particles known as aerosols. These can remain in the stratosphere for long periods, broadly mimicking the cooling effect of major volcanic eruptions.

Stratospheric aerosol injection explained

diagram of stratospheric aerosol injection
SRM360

The other main proposals are marine cloud brightening, which would add sea-salt particles to low clouds over the sea to make them more reflective, and cirrus cloud thinning, which would aim to reduce the net warming effect of high-altitude clouds.

What could outdoor experiments actually tell us?

In our recent study, colleagues and I examined what outdoor SRM experiments might look like in practice. We identified plausible experiments across the three approaches and examined how their scientific purpose and regulatory requirements change with scale.

Rather than a simple “small” or “large” distinction, we found discrete phases with increasingly stringent regulatory scrutiny at each stage – think of it like a steep staircase as scale increases. I focus here on stratospheric aerosol injection, the most extensively studied proposal, as it best illustrates the gulf between experimentation and deployment.

Plane with contrails behind
Neither geoengineering nor mind control chemicals. Brigitte Elsner / unsplash, CC BY-SA

Recent simulations suggest that around 8 to 16 million tonnes of sulphur dioxide would need to be injected each year to produce 1ºC of cooling. An interactive simulator lets you experiment with these numbers yourself.

Proposed outdoor research could start with vastly smaller releases. Our study identified a range of increasingly large plausible trials, and the questions each could answer. The smallest trials could examine aerosol formation or compare how different particles behave in the stratosphere. Larger releases, involving tonnes of sulphur dioxide, could track how an aerosol plume evolves under different atmospheric conditions, providing evidence to test models of how particles spread and affect sunlight.

At the largest scale we considered, around 1,000 tonnes of sulphur dioxide, the resulting aerosol plume begins to approach the size of the individual 3D grid cells that climate models use to represent the atmosphere. This could allow computer predictions to be compared more directly with observations from an experiment.

To put these numbers into context, a Boeing 777 undertaking a transatlantic flight releases in the region of 80–100kg of sulphur dioxide, while 1,000 tonnes is comparable to the annual sulphur dioxide emissions of a mid-sized US coal-fired power station. These are comparisons of quantity, not environmental effect: a coal plant releases its sulphur dioxide much closer to the ground, alongside greenhouse gases such as CO₂. They nevertheless help make the physical scale of proposed experiments tangible.

The UN Environment Programme notes that small field experiments may reduce uncertainty around particular atmospheric processes but cannot resolve much larger uncertainties about the effects of a full-scale deployment. SRM researchers broadly accept this limitation: experiments are instead intended to answer specific questions that can improve computer models.

The debate goes beyond the science

Critics object more strongly to the research pathway itself. They argue that successive stages of research could generate technical and institutional momentum towards progressively larger trials, and eventually, deployment. On this view, each successive experiment could normalise the next, building infrastructure and scientific communities that make it progressively harder to step back. Others go further, calling for a ban on public funding, outdoor experiments, patents, dedicated research programmes and deployment.

large eruption cloud
The 1991 eruption of Mount Pinatubo sent so much ash into the upper atmosphere it cooled the world by about 0.5°C over the next two years. Advocates of solar geoengineering hope it could do something similar. RS Culbreath / USGS / jsjgeology / flickr

A recent paper argues that some opposition to SRM cannot be settled through scientific evidence alone. For parts of the environmental movement, the concern extends to the kind of social and political order it might sustain: technological management of the climate, continued reliance on existing economic systems and less pressure for structural change. In this regard, evidence that deliberately managing solar radiation could work may in fact strengthen opposition, because it makes that future more plausible. More field research cannot resolve disagreements rooted in competing values.

Assessing SRM therefore involves weighing the risks of intervention against the risks of continued warming, including whether governments and international institutions could reliably oversee an intervention that might need to be sustained over time. One useful analogy is that it could function “like a tourniquet”: it would not cure the underlying issue, but it could reduce acute harm while treatment takes effect. In climate terms, rapid emissions reductions and carbon removal remain fundamental to tackling climate change, while SRM research examines whether temporary cooling could reduce acute climate risk as those measures scale up.

Where does research end and deployment begin?

That separation between research and deployment is already reflected in policy. European scientific advice recommends a Europe-wide moratorium on using SRM while simultaneously calling for research to continue under rigorous and ethical conditions. A decision by the Convention on Biological Diversity similarly leaves room for small-scale scientific research conducted under specific conditions. The problem is that neither “small-scale” research nor deployment has a clear, agreed boundary. Clearer definitions would make case-by-case scrutiny of field experiments more straightforward.

Ultimately, SRM may never be deployed, and further research may show that it should not be. But decisions about whether particular experiments are worth conducting should be based on what those experiments actually involve and what they can establish. Dismissing these discussions on behalf of the public is not a substitute for public debate. Public debate does not require agreement, but it does people to be arguing about the same issue.

Andrew Ng’s new model lets you play around with solar geoengineering to see what would happen (MIT Technology Review)

technologyreview.com

The climate emulator invites you to explore the controversial climate intervention. I gave it a whirl.

August 23, 2024

James Temple


AI pioneer Andrew Ng has released a simple online tool that allows anyone to tinker with the dials of a solar geoengineering model, exploring what might happen if nations attempt to counteract climate change by spraying reflective particles into the atmosphere.

The concept of solar geoengineering was born from the realization that the planet has cooled in the months following massive volcanic eruptions, including one that occurred in 1991, when Mt. Pinatubo blasted some 20 million tons of sulfur dioxide into the stratosphere. But critics fear that deliberately releasing such materials could harm certain regions of the world, discourage efforts to cut greenhouse-gas emissions, or spark conflicts between nations, among other counterproductive consequences.

The goal of Ng’s emulator, called Planet Parasol, is to invite more people to think about solar geoengineering, explore the potential trade-offs involved in such interventions, and use the results to discuss and debate our options for climate action. The tool, developed in partnership with researchers at Cornell, the University of California, San Diego, and other institutions, also highlights how AI could help advance our understanding of solar geoengineering. 

The current version is bare-bones. It allows users to select different emissions scenarios and various quantities of particles that would be released each year, from 25% of a Pinatubo eruption to 125%. 

Planet Parasol then displays a pair of diverging lines that represent warming levels globally through 2100. One shows the steady rise in temperatures that would occur without solar geoengineering, and the other indicates how much warming could be reduced under your selected scenario. The model can also highlight regional temperature differences on heat maps.

You can also scribble your own rising, falling, or squiggling line representing different levels of intervention across the decades to see what might happen as reflective aerosols are released.

I tried to simulate what’s known as the “termination shock” scenario, exploring how much temperatures would rise if, for some reason, the world had to suddenly halt or cut back on solar geoengineering after using it at high levels. The sudden surge of warming that could occur afterward is often cited as a risk of geoengineering. The model projects that global temperatures would quickly rise over the following years, though they might take several decades to fully rebound to the curve they would have been on if the nations in this simulation hadn’t conducted such an intervention in the first place. 

To be clear, this is an exaggerated scenario, in which I maxed out the warming and the geoengineering. No one is proposing anything like this. I was playing around to see what would happen because, well, that’s what an emulator lets you do.

You can give it a try yourself here. 

Emulators are effectively stripped-down climate models. They’re not as precise, since they don’t simulate as many of the planet’s complex, interconnected processes. But they don’t require nearly as much time and computing power to run.

International negotiators and policymakers often use climate emulators, like En-ROADS, to get a quick, rough sense of the impact that potential rules or commitments on greenhouse-gas emissions could have. 

The Parasol team wanted to develop a similar tool specifically to allow people to evaluate the potential effects of various solar geoengineering scenarios, says Daniele Visioni, a climate scientist focused on solar geoengineering at Cornell, who contributed to Planet Parasol (as well as an earlier emulator).

Climate models are steadily becoming more powerful, simulating more Earth system processes at higher resolutions, and spitting out more and more information as they do. AI is well suited to help draw meaning and understanding from that data. It’s getting ever better at spotting patterns within huge data sets and predicting outcomes based on them.

Ng’s machine-learning group at Stanford has applied AI to a growing list of climate-related subjects. Among other projects, it has developed tools to identify sources of methane emissions, recognize the drivers of deforestation, and forecast the availability of solar energy. Ng also helps oversee the AI for Climate Change bootcamp at the university.

But he says he’s been spending more and more of his time exploring the potential of solar geoengineering (sometimes referred to as solar radiation management, or SRM), given the threat of climate change and the role that AI can play in advancing the research field. 

There are “many things one can do—and that society broadly should work on—to help address climate change, first and foremost decarbonization,” he wrote in an email. “And SRM is where I’m focusing most of my climate-related efforts right now, given that this is one of the places where engineers and researchers can make a big difference (in addition to decarbonization).”

In a 2022 piece, Ng noted that AI could play several important roles in geoengineering research, including “autonomously piloting high-altitude drones” that would disperse reflective particles, modeling effects of geoengineering across specific regions, and optimizing techniques. 

Planet Parasol itself is built on top of another climate emulator, developed by researchers at the University of Leeds and the University of Oxford, that relies on the rules of physics to project global average temperatures under various scenarios. Ng’s team then harnessed machine learning to estimate the local cooling effects that could result from varying levels of solar geoengineering, says Jeremy Irvin, a grad student in his research group at Stanford.

One of the clearest limits of the current version of the tool, however, is that the results look dazzling. In the scenarios I tested, solar geoengineering cleanly cuts off the predicted rise in temperatures over the coming decades, which it may well do. 

That might lead the casual user of such a tool to conclude: Cool, let’s do it!

But even if solar geoengineering does help the world on average, it could still have negative effects, such as harming the protective ozone layer, disturbing regional rainfall patterns, undermining agriculture productivity, and changing the distribution of infectious diseases. 

None of that is incorporated in the results as yet. Plus, a climate emulator isn’t equipped to address deeply complex societal concerns. For instance, does researching such possibilities ease pressure to address the root causes of climate change? Can a tool that works at the scale of the planet ever be managed in a globally equitable way? Planet Parasol won’t be able to answer either of those questions.

Holly Buck, an environmental social scientist at the University at Buffalo and author of After Geoengineering, questioned the broader value of such a tool along similar lines.

In focus groups that she has conducted on the topic of solar geoengineering, she’s found that people easily grok the concept that it can curb warming, even without seeing the results plotted out in a model.

“They want to hear about what can go wrong, the impact on precipitation and extreme weather, who will control it, what it means existentially to fail to deal with the root of the problem, and so on,” she said in an email. “So it is hard to imagine who would actually use this and how.”

Visioni explained that the group did make a point of highlighting major challenges and concerns at the top of the page. He added that they intend to improve the tool over time in ways that will provide a fuller sense of the uncertainties, trade-offs, and regional impacts.

“This is hard, and I struggled a lot with your same observation,” Visioni wrote in an email. “But at the same time … I came to the conclusion it’s worth putting something down and work[ing] to improve it with user feedback, rather than wait until we have the perfect, nuanced version.”

As to the value of the tool, Irvin added that seeing the temperature reduction laid out clearly can make a “stronger, lasting impression.” 

“We are calling for more research to push the science forward about other areas of concern prior to potential implementation, and we hope the tool helps people understand the capabilities of SAI and support future research on it,” he said.