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Will America’s luck hold in 2024? The oddsmakers — that is, scientists — have a bad feeling.

Are you feeling lucky?
Americans are. Close to two-thirds say they’ve gambled in the past year; the sports pages are filled with headlines detailing the fallout of various investigations and scandals. But while there isn’t exactly a bookmaker for something like the Atlantic hurricane season, meteorologists around the country are feeling pretty good about their bets this time around.
“We could be extremely wrong and only have two hurricanes,” Philip Klotzbach, one of the authors of the Colorado State University’s 2024 forecast, which came out earlier this month and predicted a whopping 23 named storms, told me. “But I think the odds of that this year are very low, just because the Atlantic is so warm.”
Traditionally, early spring is when Americans begin to hear from agencies and universities about the upcoming Atlantic storm season. That won’t peak for another four or five months, and from the safety of April, it can be tough to muster concern about what late summer might yet inflict upon the nation’s coasts.
Still, the trickle of headlines this year has been nothing short of alarming. In addition to CSU’s prediction, North Carolina State University issued a forecast of between 15 and 20 named storms in 2024, meaning we could potentially tick well above the 1991-2020 average of 14 per year. On Wednesday, the Weather Channel upped the ante with a new estimate of 24 named storms. AccuWeather Lead Hurricane Forecaster Alex DaSilva told me his team estimates there is a 15% chance of 30 or more named storms this year — enough to break the record set in 2020 and exhaust the World Meteorological Organization pre-prepared list of 21 storm names, forcing it to dip into its new and never-before-used “supplemental” list.
Meanwhile, the National Oceanic and Atmospheric Administration is busy putting together its own forecast, a massive, multi-agency collaboration between the National Climate Prediction Center, the National Weather Service, the National Hurricane Center, and NOAA’s Atlantic Oceanographic & Meteorological Laboratory. While the government’s final prediction is still a few weeks away from being made public in May, Matthew Rosencrans, the lead hurricane season forecaster at NOAA’s Climate Prediction Center, told me the agency’s ocean team has been providing monthly briefings on the Atlantic’s record warmth to the forecasters. Of particular concern to the teams is the fact that even if the summer sea surface warms at the lowest rate of any year since 1980, 2024 will still be in the top four of all sea surface temperature years since then.
Michael Lowry, the hurricane and storm surge specialist at Miami’s WPLG Local 10 News, told me this is what has him the most alarmed. “I struggle to find a good language to say how extreme and unprecedented it is, but it’s extreme and unprecedented and almost scary, the amount of warmth that we’re looking at in the Atlantic,” he said.
Warm water, of course, is hurricane Red Bull — it can increase a storm’s destructive potential, taking forecasters by surprise. In addition to the waning El Niño and the likely start of a La Niña — which will make the wind conditions more favorable to Atlantic storm formation — all the agencies I spoke with cited the sea-surface temperatures as a concerning complication in their predictive models. Klotzbach, the CSU researcher, told me the record-warm water gives him more confidence in his models than he would otherwise have this early in April because of the strong correlation between warm waters and storm formation; DaSilva, at AccuWeather, told me it is these same temperatures that have made him concerned about the potential for rapidly intensifying storms like Hurricane Ian in 2022.
Kerry Emanuel, professor emeritus in atmospheric science at MIT, was not as impressed by the predictions, however. Putting a numerical estimate on how many hurricanes will form in the North Atlantic in a given season is “not really very interesting or practical,” he told me. “If you’re a gambler, and you’re placing a bet, OK — but if you’re a coastal resident, what you really care about is relatively intense landfalling storms.”
The more storms there are in the Atlantic in a given season, the more likely intense storms will make landfall — “but not a lot” more likely, Emanuel stressed. Because of that, when it comes to making hurricane season predictions, “I wish NOAA would knock it off because it’s intentionally misleading,” he said.
Emanuel wasn’t alone in his dismissal of the seasonal forecasts. “I’ve got to be straight with you: I think they have limited utility,” John Cangialosi, a senior hurricane specialist at the National Hurricane Center, who focuses more on tracking storms as they form, told me. “It’s sort of like in Powerball, when someone sees $30 million and is like, ‘I’m going to play if it’s $5 million or not,’” he added. “It’s so damn silly. You need to worry about this no matter what.”
That’s because describing hurricane seasons as “quiet” or “active” is really a matter of perspective, even if it makes for good headlines. For example, most people consider 2023 to have been a quiet year since almost no major storms made landfall on U.S. coasts. “But it was a very busy season; just fortunately, most of the storms stayed out at sea,” Klotzbach, of CSU, told me.
In a sense, America merely got a lucky break. While Hurricane Idalia, the strongest storm to hit Florida’s Big Bend region in 125 years, made landfall in 2023, its greatest impact was in a sparsely populated area, leading to limited damage and loss of life. On the other hand, 1992 was technically a “quiet” year for hurricane formation, but all it took was one storm — in that case, Hurricane Andrew, which killed over 60 people and was one of the costliest storms in U.S. history — to cement it in our collective memory.
Further complicating the picture that hurricane forecasts paint is, of course, climate change. The combination of record-warm Atlantic waters and a forecast for an active year makes it tempting to tie the two together. “The human mind is so good at pattern recognition that it wants to attribute a cause to every effect,” Emanuel, the MIT professor, said.
But there’s a whole cocktail of factors driving the Atlantic’s bonkers-warm temperature, including the aforementioned El Niño, which is just part of a naturally occurring global weather pattern known as ENSO; the decreasing presence of sulfur dioxide aerosols, which have a cooling effect; the Tonga volcano eruption, which might have had a temporary warming effect; and yes, greenhouse gas emissions. The lack of clarity around this larger picture has led some researchers to sound an alarm about the urgency of sharpening our understanding; climate change, however, can only confidently be credited with a small portion of the current anomalous spike in sea surface temperatures, which in turn only explains only about 35% to 40% of the changes in tropical cyclone activity.
“It’s not fair to say climate change has caused record warmth, which has caused record hurricanes,” Cangialosi, at the Climate Prediction Center, said. “Because, guess what? Next year we could be in a cool phase — and then where did climate change go?”
That’s far from saying climate change isn’t a factor at all; we just need to be careful with our scales. Besides, there are things we know are directly connected to climate change — like rising sea levels and increased rainfall — that will make hurricane landfalls deadlier in the coming decades.
Hurricane forecasts aren’t totally useless, either. For one thing, they have enormous scientific value, helping researchers better understand the amalgamation of conditions that go into the formation of a major tropical storm. Lowry, the Florida-based meteorologist, also joked they can help confirm that “my job may be a lot busier in the next few months.”
There is a public value, too: Headlines inarguably help keep the approaching season top-of-mind. This is especially important for the masses of new residents who have recently moved to the Gulf Coast and Southeastern shores — undeterred by subsidized insurance rates that don’t properly warn of the region’s risk — and might lack knowledge of how to prepare for the season.
After all, Mother Nature ultimately has the house advantage. And while America was spared a catastrophic storm in 2023, luck has a funny way of running out.
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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.