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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 administration filed to dismiss an appeal of a December ruling that overturned its offshore wind permitting freeze.
Trump’s Department of Justice is giving up on defending the president’s offshore wind permitting moratorium.
The DOJ filed a motion on Wednesday to dismiss its appeal of a federal court’s December decision vacating the order to halt offshore wind approvals. The plaintiffs in the case — New York and 16 other states, as well as the Alliance for Clean Energy New York, a trade group — did not oppose the motion. The case will not be officially dismissed, however, until the First Circuit Court of Appeals approves the request, which typically happens quickly when both parties support the dismissal.
The case stems from an executive order President Trump issued on the first day of his current term temporarily withdrawing all areas of the outer continental shelf from offshore wind leasing and pausing all federal authorizations for offshore wind projects while the administration conducted a review of leasing and permitting practices.
States took the administration to court last May, arguing that the order was arbitrary and capricious and violated the Administrative Procedures Act. They claimed it harmed their ability to source reliable and affordable energy and threatened billions of dollars in investment in supply chains, workforce development, and wind industry-related infrastructure.
On December 8, Judge Patti B. Saris of the U.S. District Court for the District of Massachusetts ruled in the states’ favor and vacated the offshore wind order. More specifically, the judge vacated the portion of the order directing agencies to pause permits and other authorizations. The withdrawal of areas eligible for new leases remains in effect.
The Trump administration appealed the ruling to the First Circuit in February, but never submitted an opening brief. The initial deadline was May 11, but on May 4, the DOJ requested additional time to file the brief. The judge gave the defendants until June 10. On that date, the defendants filed the motion to dismiss.
This is a developing story and we’ll update it as we learn more about the administration’s actions and their effects.
The data center water issues are real – but they aren’t what you think.
Too often, I hear people say the number one reason they’re against data center development is water use. Heatmap’s data shows water consumption is historically the reason cited most often by activists when opposing projects. This complaint, they often say, is rooted in the fear that this nascent buildout of AI infrastructure will simply draw so much H2O it will leave little liquid left for the rest of us.
I spent weeks trying to understand how real the water use problem is when it comes to data centers, reading research and speaking to some of the world’s leading academics, large tech firms, and environmental advocates to make my best attempt at answering some of the most important questions being asked about data centers.
Before I jump into this thicket, a few caveats. I’m not going to address the host of water pollution concerns many have raised about data centers because that is for a future article. If you want me to dissect how Rep. Alexandria Ocasio-Cortez got a jar of dirty water near a Meta data center, that was poor construction practices – not a data center’s water demand. By that same token, if you're itching for me to find out how much PFAS is in data center water, I’m not delving into that here, though I’ll just say PFAS is everywhere and isn’t a data center-specific issue.
So are there problems with AI data centers’ water use? Yes. Are data centers using too much water for society to handle? It depends on what “too much” means to you. Is the AI data center boom going to usher in a new era of drought across the United States? Probably not, but there’s a few places we should be mindful of.

Researchers told me data center water use is a painfully understudied topic rendered more obscure by a lack of public information about individual H2O consumption at the project level. Those I spoke to were split on how seriously to take the topic.
Some analyses insist the sector’s water use should be regulated and tackled head-on by the sector. I spoke with Yi Ding, an assistant professor at Purdue University, who co-authored a paper laying out a framework for evaluating the water impact of computing weighted specifically for water stress. Ding told me there is currently no set of industry-led best practices for sustainable water-conscious data center operation and her work aims to fill that gap.
When I asked Ding if data centers are actually threatening individual towns’ water supplies, she didn’t hesitate: “Yes, it’s significant.”
Others in this field have the opposite view.
“Water is often brought up as the primary concern when it’s less important,” David Mytton, a sustainable computing researcher at Oxford University, told me. “The more important thing is going to be how you bring more clean energy onto the grid, and nuclear power, so that we can generate sufficient energy to build these centers.”
Large tech companies are starting to spend less time debating the extent of the problem and more bandwidth addressing the PR crisis surrounding data center and AI water use.
Ben Townsend, Google’s head of infrastructure and sustainability, told me he believes that “from a comms and PR perspective” he has “no doubt” it would be easier to build data centers without the debate over water. “Data centers operators are not explaining why they’re using water or how much water they use. There’s a complete lack of transparency or discussion.”
Google has been getting splashy around this topic, a public relations strategy that reminds me of Meta’s recent workforce training investments. Last week, Google announced five fresh “commitments” towards its “climate-conscious approach” to water use, including a pledge to “replenish more water than we consume at our sites” by 2030.
This week, Amazon made a similar declaration and claimed its operations are 75% of the way to accomplishing this goal, which it’s calling “water positive.” Brandon Oyer, director of energy and water at Amazon Web Services, told me he thinks the industry “could’ve done better” and “come out earlier” to address its water use.
“There’s just been a lot of misinformation that has led people to [be] a little bit alarmist. And rightfully so. I would get alarmed if I thought that water was going to be impacted in my community,” Oyer said.
The basics of data center water use
Data centers need water to cool large server racks whizzing away to power AI and most other internet practices, from streaming to online banking. Normally, you don’t want computers to get too hot because then they can crash causing potentially catastrophic harm to the machine.
This water use presents a number of environmental challenges. Often, server farms rely on clean, fresh water, or filtered drinking water, a need largely for functionality reasons. They’re competing for this resource at a time when supply is dwindling amidst the crisis of global warming.
Making matters worse, much of the U.S. has faced drought conditions over the past year, including states that are typically water abundant, like Virginia and Georgia, that are at the center of the data center boom. On Monday, The Guardian reported that more than half of all planned data centers in the U.S. are in “locations that have been in drought conditions throughout the past year,” citing data center site information from federal agencies and the energy data firm Cleanview.
In the top data center destination of Texas, where peak electricity demand could more than quadruple in the near future, analysis from state university researchers released in May found data centers could wind up between 3% to 9% of water demand by 2040. Projects are being developed near cities like Corpus Christi and El Paso that were already fearful their drinking water supplies would dry up before the AI infrastructure boom came to town.
“The impact of building a data center in Arizona versus Wyoming is very different,” said Ding, the Purdue University researcher. “[Companies] will say different things because of their position. The problem is substantial and sometimes it’s not that they don’t want to use water – it means they don’t have water to use.”
The most water intensive version of data center cooling is called “evaporative cooling,” which mixes water evaporation and ventilation air flow to cool rooms in ways industry compares to human sweat. Evaporative cooling uses a lot of water and regular fresh supply because, well, the water goes away once it evaporates.
One Google data center using evaporative cooling in Council Bluffs, Iowa used more than 1 billion gallons of water in 2024, a stat that made the project a poster child for perceived excesses in water use. Somewhat ironically, we know this because Google is one of the few large tech companies to voluntarily disclose direct water consumption from individual data centers on an annual basis.
But cooling tech is becoming much more water efficient. You may have heard of “closed loop cooling” – that’s when a chilling system is supposedly self-contained. These systems as designed typically rely on loops of pipes filled with coolant flowing through them. This means they should not expel much liquid. If the modern trend in data center development skewed towards closed-loop systems, it would theoretically mean very little new water supply drawn on the average day.
“If you’re using a closed loop system, the water goes into the data center and then it doesn’t really require a refill every so often. It’s a one-time thing,” Mytton said. “If you’re using evaporative cooling, the water is continuously evaporating into the atmosphere. That’s when it’s being drawn from water sources.”
Closed-loop systems aren’t perfect because of ordinary issues like leaks. These flaws have meant this innovation has done little to assuage the loudest local concerns about water use. Critics of the sector have pointed to estimates pegging a closed-loop failure rate up to 25%. But Mytton said this criticism against closed-loop cooling systems is a little misguided. “They’re just wrong. They just don’t understand how data centers work.”
Closed loop systems and water-free cooling processes (like simple air vent-based cooling) also have trade-offs, particularly the extra energy and chemicals required to make these loops work to spec. Given data center developers are often choosing gas-fired power, which also requires water and produces greenhouse gas emissions, more power for less water is hardly a comfortable trade-off from an environmental perspective.
“‘Closed-loop cooling’ is a marketing gimmick,” proclaimed anti-data center group Food and Water Watch in an April blog post, calling the practice “greenwashing” and “just clever advertising.”
We do not know right now how much water most data centers are actually using, sans a handful of companies reporting individual facility use like Google. The data center development space – Big Tech, their subsidiaries, start ups, real estate firms – is mostly keeping their individual facility water usage private, and there isn’t really any regulation at any level of government to compel this information to be released in the United States, despite it being the number one destination for data center development. Corporations often consider these figures proprietary and municipal governments often consider this confidential business information, making it likely to be redacted or withheld from public records requests.
For example, in Wisconsin, an environmental group sued the city of Racine when officials refused to give water use projections for Microsoft’s data center campus in the nearby village of Mount Pleasant, about five miles from the shores of Lake Michigan. The projections were ultimately released under court order, showing Microsoft’s data center campus was projected to use up to 234,000 gallons of water on peak days or up to 2.8 million per year; eventually those numbers could almost triple to 702,000 gallons on peak days, or almost 8.5 million gallons a year.
These projections, according to Microsoft, are for a facility where more than 90% of the facility will rely on closed-loop cooling. The rest of the data center campus “will use outside air for cooling, switching to water only on the hottest days.” The company has called this design a “technological milestone” that’ll use “roughly the amount of water a typical restaurant uses annually.”
Microsoft is accurate here: the average eatery uses roughly 250,000-to-300,000 gallons of water a year according to restaurant sustainability advocates, a level of consumption that’s led restaurants to be roughly 15 percent of total water use in commercial facilities in the United States.
Personally I think it is easier and more useful to compare a data center to a farm, especially given how many are fighting to stop these projects to preserve prime farmland. Agriculture doesn’t measure water consumption by the gallon; farms use far too much water for those stats to work here. Instead farms use acre-feet, which is calculated using the volume of water necessary to entirely cover an acre of land with one foot of water. For posterity, one acre-foot is almost 326,000 gallons of water, which is about the maximum daily water consumption of that Microsoft data center in Mount Pleasant, Wisconsin. In 2023, the average amount of water applied to a single acre of farmland for irrigation was 1.5 acre-feet, rendering this figure comparable to a large Microsoft data center. This is still a lot of water and not a 1:1 comparison, since different crops require water at different times. But even if a data center consumed that much water every day for a full year, that’s 365 days. An average large farm is a little more than 1,400 acres and many farms span far more acreage. That’s the sort of relative scale we’re working with. So, for instance, a large family farm in Stafford County, Kansas, might use something like 420 million gallons of water over roughly 1,000 irrigated acres of corn in an average year.
I’m no farming expert – there might be things about farmland irrigation I don’t necessarily understand. But it's hard for me to look at these numbers and not long for some sort of rethinking about how we’re doing water math with data centers, especially given the environmental trade-offs around using less water.
Honestly I don’t think trying to explain this math helps anymore because secrecy may have spoiled the well in Racine, pun intended. In September, a peer-reviewed study by University of Wisconsin researchers found the Mount Pleasant datacenter had become “a microcosm of a macro problem with secrecy.” The paper stated that while closed-loop systems at the Mount Pleasant facility “may significantly reduce water use during some of the year, there is still a question of transparency and why it has been so difficult to obtain clear answers about water use.” Full transparency around water use, as well as the energy required for water-lite cooling practices, would be “essential” for any future research into industry practices “to have credibility,” the study stated.
Asked for comment on the study, a Microsoft spokesperson said via email: “Our datacenter campus in Mount Pleasant leverages the latest and most innovative cooling technology available. In past datacenter designs, water has played a key role in datacenter cooling and humidification, but our new designs aim to eliminate this continuous need for municipal water for cooling. The bottom line is that this data center, and others we build in the future, will not require massive amounts of water.”
When you zoom out further, water use by sector shows that U.S. data centers are not the leading driver of water use and its scarcity to date. Thermal power (fossil energy) and agriculture are by far the largest users of water in the U.S. economy, and it would be challenging for the data center industry to ever catch up. Industry figures collected in 2015 found thermo-electric power used roughly 132.4 billion gallons of water per day. Irrigation was a close second at 118 billion gallons of water daily. By comparison, researchers have noted International Energy Agency estimates that the entire global data center sector consumed a comparable amount of water during all of 2023. These are pre-AI boom numbers, but they tell us a lot about relative scale.
However, once again, researchers, tech companies, and advocates alike all told me they believe this macro picture elides individual communities and transparency issues are rendering these comparisons unhelpful for calming concerns down. The data center conflicts are local matters felt acutely, especially in places where drinking water is either hard to come by or expensive. Your average rural desert town or midwestern farming district cares little about the world; they want to know if their own wells will run dry. As Amazon’s Oyer told me, “The hyperlocal influence you can have on a water supply is why it becomes top of mind for people.”
One way to measure data center water impacts in aggregate may be to quantify the potential infrastructure upgrades necessary to meet the industry’s demand. A new study by researchers at University of California-Riverside and CalTech found that new water infrastructure spending for data centers alone could total as much as $58 billion in only four years time. These upgrades will be necessary in order for municipal water supplies to withstand peak demand on the hottest days of the year, a need akin to grid resilience upgrades. Not to mention our nation’s sewer systems are in desperate need of upgrades.
“If a data center was able to show they weren’t stripping our water resources and convinced a community they have mitigation strategies at the local level, that’s a theoretical path,” said Kathryn Hoffman, executive director of the Minnesota Center for Environmental Advocacy. Her organization has successfully stalled data center projects in the state with lawsuits arguing city and county environmental reviews are failing to account for the full extent of local resource usage, including water.
“Unfortunately, we’re a long way from that,” Hoffman added.
And more of this week’s biggest news around project fights.
1. Matagorda County, Texas – The bipartisan data center backlash is now so powerful that a top Republican Texas state official is doing an event with the Democrat vying to replace him.
2. Albany County, New York – As we await Gov. Kathy Hochul’s decision on whether to enact the nation’s first statewide moratorium on data centers, I wanted to bring up some pretty crucial facts about the situation in the Empire State.
3. Davidson County, Tennessee – Anyone who’s anyone should be talking about Nashville.
4. Lehigh County, Pennsylvania – I’m used to eagles halting wind turbines, but now people are trying to use the birds to stop data centers.
5. Laramie County, Wyoming – We had another anti-wind rally backed by national conservatives, this time in Wyoming.
6. Ellis County, Kansas – Let’s end on a sweet note: a giant solar farm getting its permits.