Sign In or Create an Account.

By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy

Climate Tech

Even the Best AI Weather Forecasters Still Need NOAA

While they’re getting more accurate all the time, they still rely on data from traditional models — and possibly always will.

A robot forecaster.
Heatmap Illustration/Getty Images

The National Oceanic and Atmospheric Administration has had a bruising few weeks. Deep staffing cuts at the hands of Elon Musk’s efficiency crusaders have led to concerns regarding the potential closure of facilities critical to data-gathering and weather-forecasting operations. Meteorologists have warned that this could put lives at risk, while industries that rely on trustworthy, publicly available weather data — from insurance to fishing, shipping, and agriculture — are bracing for impact. While reliable numbers are difficult to come by, the agency appears to have lost on the order of 7% to 10% of its workforce, or more than 1,000 employees. NOAA’s former deputy director, Andrew Rosenberg, wrote that Musk plans to lay off 50% of the agency, while slashing its budget by 30%.

Will that actually happen? Who the heck knows. But what we can look at are the small cracks that are already emerging, and who could step in to fill that void.

One thing that’s certain is that the National Weather Service, a division of NOAA, announced last week that it is suspending operations at a weather balloon launch site in Alaska, due to staffing shortages. The data gathered at this remote outpost helped inform the agency’s weather forecasts, which are relied upon by hundreds of millions of people, as well as many of the world’s largest companies and public agencies.

Perhaps to Musk’s department, this looks like a prime opportunity for the private sector to step up and demonstrate some nimble data gathering prowess — and indeed a startup that I’ve covered before, WindBorne, has already offered its services. The company, which makes advanced weather balloons, has offered to provide NOAA with data from its own Alaska launches for six months, at no cost. WindBorne is also one of a number of private companies creating AI-based weather models that have outperformed NOAA’s traditional, physics-based models on key metrics such as temperature, wind speed and direction, precipitation, humidity, and pressure.

All this raises the question, though, of what kind of role the private sector could and should play in the weather forecasting space overall. If the architects of Project 2025 have their way, NOAA would be “broken up and downsized,” and its National Weather Service division would “fully commercialize its forecasting operations.” If the Trump administration achieves these goals, “the Weather Service would cease to function in a way that it could meet its mandate to protect American life and property,” Daniel Swain, a climate scientist at University of California Agriculture and Natural Resources, told me.

But given that heavyweights like Google, Huawei, and Nvidia are already in the AI-based weather prediction game, along with startups such as WindBorne and Brightband, which is making weather predictions tailored to the needs of specific industries such as insurance, agriculture, or transportation, it wasn’t clear to me whether, if NOAA were to crumble, the accuracy of weather forecasts necessarily would, too. I thought that perhaps Musk, the White House’s most notorious AI enthusiast, might be thinking the same thing. So I asked around.

“There’s actually a very good argument that I think would be very uncontroversial to expand the role of the private sector, even to offload certain parts of the workflow to the private sector,” Swain told me, with regards to NOAA and its adoption — or lack thereof — of AI-based weather forecasting. But what nobody wanted was to get rid of free, publicly available government forecasts completely.

“I don’t want to have to figure out what company to trust. I just want to be able to go and open the National Weather Service and know what’s going on,” John Dean, the CEO and co-founder of WindBorne, told me.

Julian Green, the CEO and co-founder of Brightband, agreed. “The government doesn’t just forecast the weather, but it gives people alerts. And there’s regulation around whether [it tells you that] you should evacuate, or shut your factory down, or so on.” It’s not hard to imagine the ethical quandaries that could arise from a private company with a profit motive deciding who can access potentially life-saving forecasts, and for how much.

WindBorne’s and Brightband’s AI models, as well as those from tech giants such as Google, are significantly less computationally intensive to operate than those from NOAA or the other leading weather forecasting agency, the European Center for Medium-Range Weather Forecasts. These traditional models rely on supercomputers crunching complicated atmospheric equations based on the laws of physics to make their predictions.

But this doesn’t mean the physics-based models are getting replaced by AI now, or potentially ever. Government data and traditional forecasts still make up the backbone of advanced AIs, which are trained on decades of data largely gathered by NOAA satellites, weather balloons, and radar systems, and then interpreted through the lens of standard physics-based models. After training is complete, the AI models can predict what weather patterns will develop, much like ChatGPT predicts the next word in a sequence, but only after being fed a snapshot of initial weather conditions — also pulled from traditional physics-based models.

Essentially, these AI forecasts are built on the backs of the giants, and while their outcomes are hugely promising, they could not exist without that solid foundation. While one day, it might be possible to operate AI forecasting models without relying on traditional models, Dean and Green told me that physics-based models might always be critical for training the AI. So while their companies’ respective models have yielded impressive results, both Dean and Green nixed the idea that their companies could wholly replace the predictions made by the National Weather Service.

All of this is in flux of course, but as Green put it to me in an email, “a good mechanic doesn't throw away good older tools just because you get new tools.” Plus, as Dean explained, there are still conditions under which physics-based models tend to outperform AI, such as “really small-scale and high-res phenomena — let’s say convective events, let’s say severe thunderstorms in the Plains, or tornado formation.”

Even Project 2025’s authors point out that private industry forecasters rely on publicly available NOAA data, though it doesn’t make any reference to AI models or physics models. The document simply says that the agency “should focus on its data-gathering services” and the “efficient delivery of accurate, timely, and unbiased data to the public and to the private sector.”

There are also questions around whether AI models, trained on data from the past, will be able to predict the types of unusual and extreme weather events that are becoming more and more common in a warming world, Swain told me. “Does it fully capture those?” he asked. “There’s a lot of evidence that the answer is no.”

Lastly, NOAA’s weather model, the Global Forecast System, is simply measuring much more than the AI models do today. “It predicts so many different phenomena, like different types of snow, hail, mixing ratios, turbulence,” Dean said. “We’re building up over time to add more and more variables. But for both WindBorne and other models, it’s not the same currently as what GFS does.”

So while the Heritage Foundation might want to delegate all forecasting responsibilities to private companies, the vision I heard from the startups I talked to looked more like a mutually beneficial arrangement than the full commercialization of weather prediction, or even a clean division of labor. “It’s not privatized weather, it’s a public-private partnership,” Dean said of his ideal future, “where you get freely available forecasts from a public institution like NOAA, but they work with our industry to iterate faster and to drive more innovation.”

What everyone seems to want is simply for the government to forecast better, and today that means moving quickly to build AI-based models. NOAA has taken some steps forward, prototyping some models, bolstering its computing capabilities, and even recently partnering with Brightband to optimize its observational data to train AI models. But it remains behind other agencies in this regard. “The Chinese government and the European Center for Medium Range Weather Forecasts have done a far better job at adopting AI-based weather forecasts than NOAA has,” Dean told me. “So something does need to change at NOAA to get them to move faster.”

Indiscriminately laying off hundreds of the agency’s employees may not be the best place to start. But if there’s anything we know Musk loves, it’s AI and private sector ingenuity. So maybe, just maybe, this administration will be able to forge the kind of partnerships that can supercharge federal forecasting, while keeping NOAA’s weather predictions free and open for all. Or maybe we’ll all just be paying the big bucks to figure out when a hurricane is going to hit.

Yellow

You’re out of free articles.

Subscribe today to experience Heatmap’s expert analysis 
of climate change, clean energy, and sustainability.
To continue reading
Create a free account or sign in to unlock more free articles.
or
Please enter an email address
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Climate

AM Briefing: Trump’s Great Climate Revision

On GM eating the tariffs, California’s utility bills, and open-sourcing climate models

The Trump Administration Is Rewriting Published Climate Reports
Heatmap Illustration/Getty Images

Current conditions: U.S. government forecasters are projecting hurricane season to ramp up in the coming weeks, with as many as nine tropical storms forming in the Caribbean by November • Southern Arizona is facing temperatures of up to 114 degrees Fahrenheit • Northeast India is experiencing extremely heavy rainfall of more than 8 inches in 24 hours.

THE TOP FIVE

1. The Energy Department is preparing to alter published federal climate reports

Secretary of Energy Chris Wright said his agency is preparing to rewrite previously published National Climate Assessments, which have already been removed from government websites. In an interview with CNN’s Kaitlan Collins, Wright said the analyses “weren’t fair in broad-based assessments of climate change.” He added: “We’re reviewing them, and we will come out with updated reports on those and with comments on those reports.”

Keep reading...Show less
Yellow
Politics

The Only Path to Permitting Reform Runs Through Trump

Congressional Democrats will have to trust the administration to allow renewables projects through. That may be too big an ask.

Donald Trump.
Heatmap Illustration/Getty Images

How do you do a bipartisan permitting deal if the Republicans running the government don’t want to permit anything Democrats like?

The typical model for a run at permitting reform is that a handful of Republicans and Democrats come together and draw up a plan that would benefit renewable developers, transmission developers, and the fossil fuel industry by placing some kind of limit on the scope and extent of federally-mandated environmental reviews. Last year’s Energy Permitting Reform Act, for instance, co-sponsored by Republican John Barrasso and Independent Joe Manchin, included time limits on environmental reviews, mandatory oil and gas lease sales, siting authority for interstate transmission, and legal clarity for mining projects. That passed through the Senate Energy and Natural Resources Committee but got no further.

Keep reading...Show less
Hotspots

Trump Administration to ‘Reconsider’ Approval for MarWin

And more of the week’s most important conflicts around renewable energy.

The United States.
Heatmap Illustration/Getty Images

1. Sussex County, Delaware – The Trump administration has confirmed it will revisit permitting decisions for the MarWin offshore wind project off the coast of Maryland, potentially putting the proposal in jeopardy unless blue states and the courts intervene.

  • Justice Department officials admitted the plans in a paragraph tucked inside a filing submitted to a federal court in Delaware this week in litigation brought by a beach house owner opposed to the offshore wind project.
  • DOJ stated in the filing that more time was “necessary as Interior intends to reconsider its [construction and operations plan] approval” for MarWin, and that it plans to “move” for “voluntary remand of that agency action” in a separate case filed by Ocean City, Maryland against the project.
  • “The outcome of Interior’s reconsideration has the potential to affect the Plaintiff’s claims in this case,” the filing stated. “Continuing to litigate this case before any decision is made in the [Ocean City case] would potentially waste considerable time and resources for both the parties and the Court.” As of today, no new filings have been made in the Ocean City case.

2. Northwest Iowa – Locals fighting a wind project spanning multiple counties in northern Iowa are opposing legislation that purports to make renewable development easier in the state.

Keep reading...Show less
Yellow