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The Boston Marathon is in three days. The weather forecast this year has been notably chaotic.

The second Saturday of April is the most important weather-related day on New England’s calendar, if not America’s.
The reason? It’s when Boston Marathon Monday finally appears in the 10-day forecast.
Running a marathon is one of the most difficult and grueling challenges in sports; athletes spend months logging hundreds of cumulative miles and dodging injuries in preparation for the big event. And for amateur runners who don’t have an Olympic Games in their cards, Boston is the race — with a tightly competitive field of 30,000 participants, it’s the oldest and most iconic marathon in the world.
Which is why one bad window of weather can ruin everything.
Take 2018, when torrential rain and temperatures in the 30s led more than half of the professional field to drop out. Or 2012, when 4,000 entrants opted to defer their race rather than run in the blazing 89-degree heat. Or 2007, when runners had to face 30-mile-per-hour headwinds and sleet on a course abandoned by no-show volunteers.
So what’s it going to be this year? When the forecast was first announced on Saturday, it was all of the above.
The weather reports leading up to the 2023 marathon, which takes place this coming Monday, have induced a lot of whiplash. Depending on the timing of a weekend storm, runners have been told they will either face “the challenge of rain and gusty winds” on Monday — or, “if the storm front slows down … a very warm and humid day,” Time Out writes. Those would be two very different races and in addition to complicating packing, the uncertainty added another level of anxiety for runners who have nothing better to do than refresh the forecast during tapering. (The latest forecasts have since calmed down a bit.)
Boston is already one of the most meteorologically unpredictable cities in the country and climate change is making reliable forecasts even harder. Future marathon forecasts in particular will be prone to more of the will-it-be-hot-or-cold? back and forth as the warm jet stream and cold Canadian air flip influence over New England in the spring. “Some evidence indicates that the atmosphere may become more ‘wavy’” as the climate continues to warm “and thus these sorts of temperature swings could occur more often,” Adam Schlosser, a senior research scientist at the MIT Center for Global Change Science, told The Boston Globe last year.
The ideal forecast for a marathon is overcast with a temperature of 43.2 degrees Fahrenheit (or slightly colder for elites). But Boston, which has had an average start temperature of 56 degrees over the past 22 years, is getting hotter. In a 2017 Climate.gov study of the Massachusetts Climate Division (which includes Boston), the average maximum temperature was observed to have risen at a rate of 0.3 degrees per decade since 1897, the year of the first race — “more than double the temperature rise recorded for the contiguous United States as a whole (0.12 degrees per decade).” In the last 30 years, that warming has more than tripled, “ranging from 1.0 degree to 1.3 degrees per decade in the Boston area, depending on the exact start and end year you use to calculate the trend.”

Similarly, a 2012 study published in PLOS One found that Boston proper is now “about 4 degrees warmer on average in the spring than it was in the 1890s … due to a combination of global warming and the urban heat island effect associated with large cities.” With the caveat that Beantown’s spring weather can be all over the map in any given year, the researchers further found that if “Boston temperatures were to continue to warm by 4.5 degrees by the end of the century (a mid-range estimate for global warming), there will be a 64% chance that winning times will be slowed” due to the effects of heat on strenuous physical performance.
Race organizers have already taken measures to make conditions safer for athletes; in 2007, the marathon start time was bumped back from noon to 10 a.m., in part to limit exposure to the highest midday temperatures. Still, “the next few decades will tell whether morning start times and heat warnings will be enough to keep winning marathon runners from slowing in a steadily warming world,” Boston University biology professor Dr. Richard B. Primack, who led the study, wrote.
This year, at least, runners can probably relax a little: The latest forecast shows the high topping out at 60 degrees on Monday, with a start temperature of 45 degrees in Hopkinton at 9 a.m. Though there’s a chance of light showers, there is also the possibility of a “helpful” wind on runners’ backs.
You might even call it a perfect spring day. Phew.
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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.