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A former head of the American Meteorological Society on whether the weather agency will wither under Trump.

There is a lot of uncertainty in the federal government right now. Some functions of critical agencies like the Army Corps of Engineers are paused, or maybe they’re not. Tariffs are on and then off again. Other government agencies are shutting down most of their operations at the direction of Elon Musk’s Efficiency Department, even if such moves are technically unconstitutional.
Amid all this uncertainty stands the National Oceanic and Atmospheric Administration, which Musk’s team breached earlier this week and which Project 2025 has targeted for breakup. Per Thomas F. Gilman, who wrote the chapter on reforms for the Department of Commerce, NOAA is “one of the main drivers of the climate change alarm industry,” and its National Weather Service ought to be “fully commercialize[d]” since “Americans rely on weather forecasts and warnings provided by … private companies.”
Created during the Nixon administration, NOAA was designed to bring together disparate scientific agencies to release coordinated emergency weather alerts and responses. Today, it employs almost 7,000 scientists and engineers, although Musk’s team reportedly wants to cut that by 50%. In addition to hosting a trove of valuable climate science, NOAA remains responsible for issuing emergency alerts through its divisions such as the NWS and the National Hurricane Center. If you’re among the 99% of the American population who experienced some form of extreme weather last summer, you’ve likely interacted with NOAA in some small way.
To make sense of the plan to break up NOAA and what it would mean to “privatize” weather forecasting in the United States, I spoke to Keith Seitter, the former executive director of the American Meteorological Society and a current professor at the College of the Holy Cross. Our conversation has been lightly edited and condensed for clarity.
What is the argument for privatizing weather reporting? Why do folks at places like the Heritage Foundation think this is a good idea?
That’s a really good question — because it’s not. Weather services are provided to the nation through a wonderful cooperative process in which the government and the private sector work collaboratively to provide the best possible services to the people. It is all well thought out, with the National Weather Service and other parts of the government getting observations, running the numerical models, and providing warning services. Then the private sector takes the output from those government projects or processes and creates tailored, value-added forecasts and information that can be provided to commercial organizations in different sectors of the economy.
All of this is done with each component knowing what the other is doing, supporting the other, and tailoring their processes to the maximum efficiency. That’s one of the reasons that the U.S. has the best provision of weather services to the nation — and to the nation’s economy — of any country.
So the National Weather Service and NOAA are the ones with the actual monitors out there gathering the data, and then they give that information to the people who, let’s say, make the apps on your phone. What would it mean to “privatize” weather forecasting, then? What would that entail?
It’s not exactly clear what it would look like. Project 2025 suggests that the government should keep taking all the observations and essentially do nothing else. But the government is also quality-controlling its observations and assimilating them into numerical models. This process requires vast resources and must be completed before you can make the best use of that data.
You’d have to do everything the National Weather Service is doing now before the private sector could take over and tailor it for others. It’s unclear how you could move that line between what the government does and what the private sector does any further toward the private sector without impeding its ability to actually do a good job.
What would privatizing weather mean on the business side? What challenges would the private sector face in trying to make up the gap left by NOAA?
It would be very hard for them to make up that gap. There may be a few large private sector companies like The Weather Company, which has a lot of resources, and maybe AccuWeather — they could probably invest more in computer resources and do some of that stuff themselves, but it’s not an efficient way to get it done. I think the people at those companies would say that’s not the direction they want to move in. [Privatizing weather forecasting is] a solution being proposed where there isn’t a problem because almost anything you do to change the current balance will make weather forecasting less efficient and provide less service to the country.
So it’s not like private weather companies are agitating for this change?
Oh, gosh, no. They’re looking to get even more of that data and content from the government. Part of what happens is the observations and the numerical models — all those things that the government does — are provided to the country for free. The more of that information that the private sector can pull into their systems at no cost, the more products they can create and disseminate in ways that make them more money than if they had to do any of that work themselves. That cost would now fall on them. They clearly don’t want to be in a position where they have to do a lot of the [collection and data processing] that is currently being given to them for free.
What would this mean for users? Is there a risk that people will no longer receive extreme weather warnings?
The warnings are a big issue. Right now, the government is responsible for protecting life and property. The warnings from the National Weather Service are only possible because it’s doing all of the other processes of gathering the data and processing it and running forecasts.
You don’t want 10 different private companies trying to offer warnings to people and deciding who’s going to evacuate and who isn’t — that puts those companies in a position of liability if they make the decision incorrectly. It is a fundamental government responsibility to protect the people, so warnings are intrinsically something that has to come from the government. There’s no other way to get that done without incurring a lot of legal liability.
What frightens you the most about the potential for privatization of weather forecasting in the U.S.?
The loss of the balance that we have now. Almost any aspect that you mess with will make things work less well. There is also the potential for serious problems with the warnings many people depend on in life-or-death situations. We need to ensure that those are preserved and that we are doing the things that protect people and businesses.
What may seem like a way to save a few bucks in the federal government’s budget could lead to the loss of life, property, and business capacity. These could have very large downstream impacts for a relatively small amount of financial savings in the budget.
Is there anything keeping you optimistic?
The Secretary of Commerce that was approved, Howard Lutnick, said in the Senate hearings that he has no intention of breaking up NOAA, and that he’s not going to implement some of those ideas that were part of the Project 2025 handbook. I’m optimistic that as long as he lives up to what he said in those hearings, that’s a better place for us to be.
The other thing is, the nominee for the new NOAA administrator, Neil Jacobs, was the acting administrator in the first Trump administration, and he’s a very good person. He’s very knowledgeable and understands these things well; he’s a well-qualified individual to be put in charge of NOAA. If the Senate confirms him, I feel that he understands these issues and will do everything he can to ensure that NOAA lives up to its mission requirements and fulfills its goals of protecting life and property for the country.
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The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation.What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.