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Over a dozen methane satellites are now circling the Earth — and more are on the way.

On Monday afternoon, a satellite the size of a washing machine hitched a ride on a SpaceX rocket and was launched into orbit. MethaneSAT, as the new satellite is called, is the latest to join more than a dozen other instruments currently circling the Earth monitoring emissions of the ultra-powerful greenhouse gas methane. But it won’t be the last. Over the next several months, at least two additional methane-detecting satellites from the U.S. and Japan are scheduled to join the fleet.
There’s a joke among scientists that there are so many methane-detecting satellites in space that they are reducing global warming — not just by providing essential data about emissions, but by blocking radiation from the sun.
So why do we keep launching more?
Despite the small army of probes in orbit, and an increasingly large fleet of methane-detecting planes and drones closer to the ground, our ability to identify where methane is leaking into the atmosphere is still far too limited. Like carbon dioxide, sources of methane around the world are numerous and diffuse. They can be natural, like wetlands and oceans, or man-made, like decomposing manure on farms, rotting waste in landfills, and leaks from oil and gas operations.
There are big, unanswered questions about methane, about which sources are driving the most emissions, and consequently, about tackling climate change, that scientists say MethaneSAT will help solve. But even then, some say we’ll need to launch even more instruments into space to really get to the bottom of it all.
Measuring methane from space only began in 2009 with the launch of the Greenhouse Gases Observing Satellite, or GOSAT, by Japan’s Aerospace Exploration Agency. Previously, most of the world’s methane detectors were on the ground in North America. GOSAT enabled scientists to develop a more geographically diverse understanding of major sources of methane to the atmosphere.
Soon after, the Environmental Defense Fund, which led the development of MethaneSAT, began campaigning for better data on methane emissions. Through its own, on-the-ground measurements, the group discovered that the Environmental Protection Agency’s estimates of leaks from U.S. oil and gas operations were totally off. EDF took this as a call to action. Because methane has such a strong warming effect, but also breaks down after about a decade in the atmosphere, curbing methane emissions can slow warming in the near-term.
“Some call it the low hanging fruit,” Steven Hamburg, the chief scientist at EDF leading the MethaneSAT project, said during a press conference on Friday. “I like to call it the fruit lying on the ground. We can really reduce those emissions and we can do it rapidly and see the benefits.”
But in order to do that, we need a much better picture than what GOSAT or other satellites like it can provide.
In the years since GOSAT launched, the field of methane monitoring has exploded. Today, there are two broad categories of methane instruments in space. Area flux mappers, like GOSAT, take global snapshots. They can show where methane concentrations are generally higher, and even identify exceptionally large leaks — so-called “ultra-emitters.” But the vast majority of leaks, big and small, are invisible to these instruments. Each pixel in a GOSAT image is 10 kilometers wide. Most of the time, there’s no way to zoom into the picture and see which facilities are responsible.

Point source imagers, on the other hand, take much smaller photos that have much finer resolution, with pixel sizes down to just a few meters wide. That means they provide geographically limited data — they have to be programmed to aim their lenses at very specific targets. But within each image is much more actionable data.
For example, GHGSat, a private company based in Canada, operates a constellation of 12 point-source satellites, each one about the size of a microwave oven. Oil and gas companies and government agencies pay GHGSat to help them identify facilities that are leaking. Jean-Francois Gauthier, the director of business development at GHGSat, told me that each image taken by one of their satellites is 12 kilometers wide, but the resolution for each pixel is 25 meters. A snapshot of the Permian Basin, a major oil and gas producing region in Texas, might contain hundreds of oil and gas wells, owned by a multitude of companies, but GHGSat can tell them apart and assign responsibility.
“We’ll see five, 10, 15, 20 different sites emitting at the same time and you can differentiate between them,” said Gauthier. “You can see them very distinctly on the map and be able to say, alright, that’s an unlit flare, and you can tell which company it is, too.” Similarly, GHGSat can look at a sprawling petrochemical complex and identify the exact tank or pipe that has sprung a leak.
But between this extremely wide-angle lens, and the many finely-tuned instruments pointing at specific targets, there’s a gap. “It might seem like there’s a lot of instruments in space, but we don’t have the kind of coverage that we need yet, believe it or not,” Andrew Thorpe, a research technologist at NASA’s Jet Propulsion Laboratory told me. He has been working with the nonprofit Carbon Mapper on a new constellation of point source imagers, the first of which is supposed to launch later this year.
The reason why we don’t have enough coverage has to do with the size of the existing images, their resolution, and the amount of time it takes to get them. One of the challenges, Thorpe said, is that it’s very hard to get a continuous picture of any given leak. Oil and gas equipment can spring leaks at random. They can leak continuously or intermittently. If you’re just getting a snapshot every few weeks, you may not be able to tell how long a leak lasted, or you might miss a short but significant plume. Meanwhile, oil and gas fields are also changing on a weekly basis, Joost de Gouw, an atmospheric chemist at the University of Colorado, Boulder, told me. New wells are being drilled in new places — places those point-source imagers may not be looking at.
“There’s a lot of potential to miss emissions because we’re not looking,” he said. “If you combine that with clouds — clouds can obscure a lot of our observations — there are still going to be a lot of times when we’re not actually seeing the methane emissions.”
De Gouw hopes MethaneSAT will help resolve one of the big debates about methane leaks. Between the millions of sites that release small amounts of methane all the time, and the handful of sites that exhale massive plumes infrequently, which is worse? What fraction of the total do those bigger emitters represent?
Paul Palmer, a professor at the University of Edinburgh who studies the Earth’s atmospheric composition, is hopeful that it will help pull together a more comprehensive picture of what’s driving changes in the atmosphere. Around the turn of the century, methane levels pretty much leveled off, he said. But then, around 2007, they started to grow again, and have since accelerated. Scientists have reached different conclusions about why.
“There’s lots of controversy about what the big drivers are,” Palmer told me. Some think it’s related to oil and gas production increasing. Others — and he’s in this camp — think it’s related to warming wetlands. “Anything that helps us would be great.”
MethaneSAT sits somewhere between the global mappers and point source imagers. It will take larger images than GHGSat, each one 200 kilometers wide, which means it will be able to cover more ground in a single day. Those images will also contain finer detail about leaks than GOSAT, but they won’t necessarily be able to identify exactly which facilities the smaller leaks are coming from. Also, unlike with GHGSat, MethaneSAT’s data will be freely available to the public.
EDF, which raised $88 million for the project and spent nearly a decade working on it, says that one of MethaneSAT’s main strengths will be to provide much more accurate basin-level emissions estimates. That means it will enable researchers to track the emissions of the entire Permian Basin over time, and compare it with other oil and gas fields in the U.S. and abroad. Many countries and companies are making pledges to reduce their emissions, and MethaneSAT will provide data on a relevant scale that can help track progress, Maryann Sargent, a senior project scientist at Harvard University who has been working with EDF on MethaneSAT, told me.

It could also help the Environmental Protection Agency understand whether its new methane regulations are working. It could help with the development of new standards for natural gas being imported into Europe. At the very least, it will help oil and gas buyers differentiate between products associated with higher or lower methane intensities. It will also enable fossil fuel companies who measure their own methane emissions to compare their performance to regional averages.
MethaneSAT won’t be able to look at every source of methane emissions around the world. The project is limited by how much data it can send back to Earth, so it has to be strategic. Sargent said they are limiting data collection to 30 targets per day, and in the near term, those will mostly be oil and gas producing regions. They aim to map emissions from 80% of global oil and gas production in the first year. The outcome could be revolutionary.
“We can look at the entire sector with high precision and track those emissions, quantify them and track them over time. That’s a first for empirical data for any sector, for any greenhouse gas, full stop,” Hamburg told reporters on Friday.
But this still won’t be enough, said Thorpe of NASA. He wants to see the next generation of instruments start to look more closely at natural sources of emissions, like wetlands. “These types of emissions are really, really important and very poorly understood,” he said. “So I think there’s a heck of a lot of potential to work towards the sectors that have been really hard to do with current technologies.”
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The “35x35” electrification pledge and an AI pledge are on the table.
World leaders are flocking to the Mediterranean resort town of Antalya, Turkey, this weekend for the 31st United Nations Climate Change Conference, also known as COP31. The U.S., of course, will once again not attend, as President Trump not only withdrew the country from the Paris Agreement but also from the United Nations Framework Convention on Climate Change, the umbrella group that organizes the annual conferences. Still, 194 other governments will be there, putting their heads together on how to move another few inches toward a safer future.
This year, as with the last several convenings, the meeting arrives against a backdrop of geopolitical instability, worsening climate impacts, and growing concern about energy security and affordability. While conflicts like the Iran war in some ways bolster the case for the energy transition by surfacing the risks of fossil fuel dependence, prioritizing energy security can manifest as countries turning inward and showing less willingness to work for the global good.
Perhaps the biggest item on this year’s agenda is the “35x35” pledge, Turkey’s proposal to electrify 35% of the world’s final energy use by 2035, up from about 23% today. That would mean switching from gas-powered cars to electric vehicles and from burning fuels for heat to electric heat pumps. It would not necessarily mean generating all of the electricity to power those devices from clean sources, although countries have committed to triple renewable energy capacity during previous COPs. Turkey itself does not have a plan to phase out fossil fuels, and its use of coal and natural gas-fired power plants has been growing alongside renewables.
It’s not yet clear whether Turkey will encourage countries to sign onto the pledge outside of the main negotiations or try to get it into the final decision text of the conference. In a twist, the conference has two countries sharing the presidency this year, with Turkey playing host and overseeing the “action agenda” — the announcements, commitments, and dealmaking that happen outside the official negotiations — and its co-chair, Australia, mediating the formal talks.
In addition to the electrification goal, Turkey is also inviting countries to sign an artificial intelligence pledge declaring a “shared ambition to make AI part of the climate solution — sustainably powered, efficiently designed, transparently measured and available to all.” The pledge has no teeth, however, as it explicitly states that it creates “no new obligations” and notes that it should be implemented according to national priorities and circumstances.
Although there will be no big agreement like there was in Paris in 2015, the two weeks of talks will end, per usual, with a consensus document that summarizes the outcomes of the negotiations. The final text from last year’s conference in Belém, Brazil, set a new goal to triple finance for climate adaptation by 2035. Countries also agreed to create a “Just Transition Mechanism,” a program to help fossil fuel-based economies navigate the socioeconomic consequences of shifting to clean energy. But the final text at COP30 did not ultimately mention the creation of a roadmap to transition away from fossil fuels, despite more than 80 countries supporting the idea, and didn’t, in fact, mention “fossil fuels” at all.
Much of the work this year will be about building on those outcomes. The climate adaptation finance goal, for example, is still fuzzy, as the parties did not agree on a baseline year from which to triple the funding, or define what types of finance count toward the goal, meaning it’s unclear what the actual target amount for 2035 is. The Just Transition Mechanism is similarly skeletal — negotiators will need to hammer out how to operationalize it into something useful. Countries are also supposed to make progress on the Global Goal on Adaptation, an as-yet ill-defined goal first established in the Paris Agreement that negotiators are still working out how to implement.
Then there’s the overarching theme of finance. As I’ve written in the past, every annual climate conference is ultimately a fight over money — specifically how much developed countries are sending to developing countries to help them fight climate change and respond to its effects.
To date, countries have agreed to mobilize $1.3 trillion annually in climate finance from all sources for developing countries by 2035, with $300 specifically coming from developed countries. Climate finance reached record levels in 2024, the most recent year with comprehensive data, with total global flows hitting $2 trillion and funding from developed to developing countries reaching $136.7 billion.
But progress is uneven. Only 2% of global investment in renewable energy over the past two decades went to Africa, said Brian Mukhaya, a senior manager on the Clean Air Task Force’s Africa team, during a recent media briefing. Finance challenges may also collide with the conference’s electrification goal. More than 550 million people in sub-Saharan Africa lack access to electricity, Mukhaya said, and the continent will need seven to eight times current investment levels to achieve universal electricity access by 2030. Also, while the rising cost of capital is becoming an impediment to building clean energy projects everywhere in the world, the problem is acute in Africa, where the average cost of capital for power-sector investments is three to five times higher than in Europe and North America.
At COP31, negotiators will try to make progress on questions such as what form climate finance should take (grants, concessional loans, private finance, etc), how it can be more effectively distributed, and what it should be used for.
Another question hanging over this year’s conference is whether the final text will acknowledge the likelihood of surpassing 1.5 degrees Celsius of warming above pre-industrial levels, the more ambitious target laid out in the Paris Agreement. Last year’s decision text contained a tacit admission, with countries resolving to limit “the magnitude and duration of any temperature overshoot.” Doing so requires a more serious discussion of carbon removal strategies than delegates have engaged in to date.
With the world seemingly careening past the 1.5 degrees target, the annual climate talks have lost some of their luster. Critics increasingly call for a new approach. Ani Dasgupta, the president and CEO of the World Resources Institute, for example, wants the COPs to center more on accountability and holding countries to their commitments. He also recommends developing a new decision-making process that does not allow a handful of countries to block decisions. Since the substance of the negotiations is becoming more and more about how to finance the transition, he argues the conference should also broaden its tent to bring in finance ministers and central banks.
“Where we are today is different from 1992 when COPs were set up,” he said during a recent press call. “The world is different. The broader needs are different. We are at a different place in the transition. And we actually haven't reformed the system.”
Progressive candidate Jane Kim declared victory in the race for California Insurance Commissioner.
Few political wonks outside of California were likely paying much attention to the Golden State on Tuesday night, as Democrats’ anticipated blue wave crested. But the state did have one close, consequential race on the ballot: insurance commissioner. On Friday, Bernie Sanders-endorsed progressive Jane Kim won the race to lead the California Department of Insurance, which oversees the state’s $452 billion insurance market.
Kim declared victory over the more moderate State Senator Ben Allen, who was backed by the California Democratic Party, after reaching a nearly six-point lead on Friday. In a brief speech before supporters, Kim said Allen called to congratulate her that morning. (A spokesman for the Allen campaign confirmed the call to The Orange County Register.) Kim ran on a proposal for a state-run, single-payer insurance program that would cover homeowners against wildfire damage — though the plan would ultimately need approval from both the California legislature and Governor-elect Xavier Becerra.
The idea is that homeowners would automatically receive public coverage for wildfire-related losses, with payouts capped at roughly what it costs to rebuild a typical California home. Policyholders would keep their regular private insurance for other risks such as theft, burst pipes, or an ordinary kitchen fire. Kim says Californians wouldn’t pay more overall, since the money for the program would come from the share of premiums that already goes toward wildfire coverage, though each household’s bill would partly depend on its own wildfire risk.
“It would be nonprofit, and so any excess capital would stay in the state of California and would be used to drive down risk,” Kim told my colleague Matthew Zeitlin a few weeks ago. “That’s the most important piece about this actually, is that it would create another revenue stream for mitigation.”
The insurance commissioner job has taken on an increasing sense of urgency as wildfires — intensified by climate change — continue ripping through communities in California. Mounting losses from hotter, drier conditions combined with decades of new construction in the wildland-urban interface have squeezed insurers’ profits, leading many to drop policyholders in high-risk areas or simply stop writing new policies in the state altogether.
California’s homeowners insurance premiums climbed 84% between December 2020 and March of this year, according to Stanford researchers. Meanwhile, a growing number of residents have been pushed onto the state’s FAIR Plan, which my colleague Matthew described as “the barebones insurer of last resort.” The share of California’s single-family homes covered by the plan has nearly tripled over that same period, from under 2% to about 5%, as homeowners in even low- and moderate-risk wildfire areas increasingly find themselves with few alternatives.
The insurance crunch has become yet another front in California’s broader affordability crisis, alongside persistently high housing, electricity, and gasoline costs. Kim’s victory suggests frustrated voters are increasingly willing to support more radical solutions that once seemed politically out of reach. And while Kim doesn’t have a background in the insurance industry, she’s no stranger to public office. The former civil rights attorney served on the San Francisco Board of Supervisors from 2011 to 2019 before becoming a regional director for Sanders’ 2020 presidential campaign.
But throughout her run for the Insurance office, critics have continually questioned how, exactly, her plan would work. No state has attempted a public disaster insurance program like this before; critics argue there’s no relevant model to work off of, no white paper laying out the details, and no price tag attached to the idea. Kim herself acknowledges that there’s plenty of uncertainty surrounding the plan. “This is a concept and a proposal, and could look quite different by the time it works its way through the process,” she told Matthew. In other words, the program that eventually emerges from negotiations with lawmakers — if one does — could end up looking considerably different from what Kim campaigned on.
Her opponent, Allen, who chairs the state senate’s Energy, Utilities and Communications Committee, argued that creating a public wildfire insurance program would impose a significant financial burden on the state. The California Earthquake Authority, an agency that sells earthquake insurance and administers the state’s Wildfire Fund, examined the potential costs of such a program this spring, estimating it would require roughly $25 billion upfront to have a 75% chance of staying solvent for 20 years. But Kim points out in her policy brief that buying reinsurance — essentially insurance for the insurer — could cut that to about $6 billion.
Allen, on the other hand, pitched a series of reforms to the existing market, including speeding up rate reviews, rewarding homeowners and communities for wildfire mitigation, expanding financing for home-hardening projects, and discouraging development in high-risk areas.
Voters opted instead for the insurance revolution. But Kim argues that her plan isn’t totally without precedent. On the campaign trail, she frequently pointed to New Zealand, where the government’s Natural Hazards Commission provides homeowners with public coverage for disasters including earthquakes, landslides, volcanic eruptions, and tsunamis — though notably not ordinary wildfires. And while France and Spain also operate state-backed disaster insurance programs, these don’t cover wildfires either, a far more common occurrence in California than the comparably rare disasters these programs were built around abroad.
Ultimately, Kim’s ambitious plan will require a champion in the legislature to go anywhere. But in the meantime, there are other issues she could get to work on. On the campaign trail, she said she wants to push insurers to fund a disaster mitigation program run by the Department of Insurance, require companies selling auto policies in a region to also offer homeowners coverage there, and impose minimum loss ratios compelling home insurers to pay at least 65% of premiums in claims and auto insurers at least 70%. It’s unclear, however, whether Kim can implement either of the latter two proposals without new legislation.
Kim will also immediately face the question of what to do with outgoing Insurance Commissioner Ricardo Lara’s Sustainable Insurance Strategy reform package. Designed to entice insurers back to California, these new rules allow companies to set premiums using forward-looking risk models rather than relying on historical losses, and to pass a portion of their rising reinsurance costs onto policyholders. In exchange, insurers are required to write more policies in wildfire-prone areas.
Kim has criticized this approach, arguing that insurers have exploited loopholes to raise premiums on lower-risk customers while continuing to underserve high-risk communities, all without doing enough to address the underlying factors driving wildfire risk.
That leaves Kim in a tricky situation. Until she is able to secure legislative backing for some version of her proposed public insurance program, she’ll have to decide whether to scrap or simply build on the existing reforms. She hasn’t yet laid out any plan for doing so. But whatever direction she takes could ultimately reshape California’s insurance market well before a new state insurer gets off the ground.
They only ticked up by 5% this week.
Beyond the repudiation of Donald Trump, if there was one message voters sent on election night, it was that they really don’t like data centers.
Democrats who ran against rampant data center development won at both the gubernatorial level (Amy Acton in Ohio, Gina Hinojosa in Texas) and the senatorial level (Abdul El-Sayed in Michigan, Annie Andrews in South Carolina). The Wall Street Journal counted 125 Democrats nationwide who “targeted their opponents over data centers.”
“Data centers are the midterms’ other big loser,” according to Politico. “The Results Are In: Voters Hate Data Centers,” from Wired.
Commentators didn’t just notice that many anti-data-center candidates won, but that a number of local data center moratoria passed as well. “In nearly every case, it’'s about 67-80% opposing data centers. True in California, Ohio, everywhere,” Brad Carson, head of the artificial intelligence policy group Americans for Responsible Innovation tweeted. Added Democratic strategist David Shor on X, “Voters sided against data centers in 40 of 41 ballot measures, with basically no correlation to how red a county was.”
But as far as new legislation and ordinances go, November 3 was just another Tuesday in the long-running local campaign against data center development, Heatmap Pro data shows.
“Forty is a lot in one day,” Owen Curtin, a data analyst with our intelligence platform Heatmap Pro, admitted, but “in terms of the rate at which county governments are enacting legislation and the overwhelming public support for them, it’s not new.”
There have been over 830 restrictive measures passed this year, according to analysis from Heatmap Pro, which breaks down to just over 80 per month. The numbers picked up substantially in the summer and fall.

June 15 to 21 was the busiest week of the year for passing data center laws, at 35, and June the month with the most laws passed overall, with 133. Another95 restrictive laws were passed in July, followed by 86 in October.
Of the 40 ballot measures passed this week, only one applied at the county level (Morgan County, Illinois), where a great deal of data center permitting occurs. “While many municipalities permit data centers, a significant portion are permitted by county governments. Not all counties have the legal authority to pursue ballot measures, which is why most November 2 measures were at the municipal level,” Curtin explained.
“While the overwhelming support for local data center ballot measures is indicative of public sentiment (largely anti-data center), it doesn’t necessarily correlate with the regulatory landscape,” he went on. And here’s a fun fact: “There are over 19,000 municipalities in the U.S., so 40 bans are only 0.2% of all municipalities,” Curtain added. “If 40 municipalities banned data centers every day, it would take 475 days to ban data centers across the entire U.S.”