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This is where the weather starts.
Florida seems to be getting hit from all sides. The ocean is so hot that people can’t cool off in it. Insurers are pulling out of the state. The governor is in a knockout fight with both Disney and Donald Trump. Dust carried all the way from the Saharan Desert is in the air above Floridians’ heads.
Actually, that last one’s fine. It is, in fact, normal. The dust that’s coming to the state now is part of a regular cycle called the Saharan Air Layer that, as my colleague Robinson Meyer recently wrote, has been delayed this summer, contributing to the weirdly hot waters off Florida. But it’s not just the dust: to understand what the summer in Florida — and the Southeast at large — is going to look like, we have to turn to West Africa.
Let’s start with the dust. The dust storms that make up the Saharan Air Layer start out in (surprise!) the Sahara desert and can be as big as the lower 48 states before they weaken as they move across the ocean. When they hit Florida they make the air about a mile above the ground extremely hot and dry, while the air below remains soupy and humid. That hot, dry air a mile up is essentially a cloud-killer: any potential hurricanes would dissipate in those conditions, but so do the thunderstorms that would otherwise bring some cooling rain to the state.
For the most part, the dust isn’t anything to worry about, said Jason Dunion, a meteorologist and field program director for the National Oceanic and Atmospheric Administration (NOAA), though there might be a dip in air quality that people in sensitive groups — anyone with a lung condition like asthma, or senior citizens — should watch out for. The current dust storm will move on in a few days, and another will arrive a few days later to take its place. Unfortunately, the dust won’t quite do much in terms of cooling down the ocean.
“The world’s oceans are out of balance from where they’ve been for the last 125,000 years,” Ben Kirtman, professor of atmospheric sciences at the University of Miami, told me. “We’re seeing warming in the global oceans that is really quite bonkers.”
Exactly what is causing the ocean to warm — as in the literal physical effects behind that warming — will no doubt be the subject of many papers to come, Kirtman said, but there’s little doubt that anthropogenic climate change is the root cause.
That warmer water has many effects, the first being that the water off Florida is essentially now a hot tub, so the ocean breeze blowing into cities like Miami doesn’t have the cooling effect it usually does. That raises the heat index, putting people at risk of heat stroke. Higher ocean temperatures are also putting marine life — particularly coral reefs, which support thousands of sea creatures — in danger, as The New York Timesreported this week.
Then there’s the way warmer oceans impact hurricanes. This year marked the start of an El Niño, the weather pattern that usually brings less intense hurricane seasons. But, Kirtman told me, “the Atlantic is so flipping warm that the El Nino effect might not give us a weaker hurricane season.”
This is where we return, again, to West Africa. The dust, the hurricanes, the ocean temperatures: all of these are deeply, intricately connected.
“The hurricane nursery for the Atlantic is just south of the Sahara,” said Dunion “More than half the named storms we get in the Atlantic come from that nursery. So it’s a really important place to look at.”
Many hurricanes are born right off the coast of West Africa, between the Sahara and an area known as the Sahel. The hot air from the Sahara collides with colder air caused by storms in the Sahel, creating what Dunion called “tropical waves” that ripple outwards. These are the seedlings of hurricanes.
A warmer ocean sees more evaporation, which moves water vapor up through the atmosphere and usually intensifies hurricanes. This is true throughout their life cycle, and the waters off Western Africa, while not quite as warm as they are near Florida, are also much warmer than normal — in the high 70s or low 80s Fahrenheit, Dunion told me, and “80 degrees is that magic number where once we get to that temperature it's very conducive for exchanging energy from the ocean to the atmosphere.”
That heat means the hurricane nursery below the Sahara Desert could produce some especially strong storms, especially once the dust storms stop. “There’s a switch point in mid-August where the dust outbreaks start to subside.” Dunion said. “That may help open a window to make the environment much more juicy to support some of these storms,”
So the hurricanes could start especially strong, and will grow even stronger when they bump into the warm waters off the coast of Florida. Together, that could negate the effects of the El Niño; NOAA has predicted a near-normal hurricane season for this year, with somewhere in the range of 12 to 17 storms, in part because of the warmer oceans offsetting the El Niño.
That would be striking: if NOAA’s predictions hold, we’ll be in for a summer defined by the worst effects of an El Niño, like searing heat, without any of the hurricane-mitigating benefits. But, Dunion told me, the weather is ever-shifting and there are still many unknowns.
“What we don’t know is what the future is going to look like in the next month,” he said. “Will these dust outbreaks kind of ramp up really quickly? Will the sea surface temperatures settle out? That part is still a mystery. We can monitor it, but predicting exactly how it will play out is the humbling part of being a meteorologist.”
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Why the new “reasoning” models might gobble up more electricity — at least in the short term
What happens when artificial intelligence takes some time to think?
The newest set of models from OpenAI, o1-mini and o1-preview, exhibit more “reasoning” than existing large language models and associated interfaces, which spit out answers to prompts almost instantaneously.
Instead, the new model will sometimes “think” for as long as a minute or two. “Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes,” OpenAI announced in a blog post last week. The company said these models perform better than their existing ones on some tasks, especially related to math and science. “This is a significant advancement and represents a new level of AI capability,” the company said.
But is it also a significant advancement in energy usage?
In the short run at least, almost certainly, as spending more time “thinking” and generating more text will require more computing power. As Erik Johannes Husom, a researcher at SINTEF Digital, a Norwegian research organization, told me, “It looks like we’re going to get another acceleration of generative AI’s carbon footprint.”
Discussion of energy use and large language models has been dominated by the gargantuan requirements for “training,” essentially running a massive set of equations through a corpus of text from the internet. This requires hardware on the scale of tens of thousands of graphical processing units and an estimated 50 gigawatt-hours of electricity to run.
Training GPT-4 cost “more than” $100 million OpenAI chief executive Sam Altman has said; the next generation models will likely cost around $1 billion, according to Anthropic chief executive Dario Amodei, a figure that might balloon to $100 billion for further generation models, according to Oracle founder Larry Ellison.
While a huge portion of these costs are hardware, the energy consumption is considerable as well. (Meta reported that when training its Llama 3 models, power would sometimes fluctuate by “tens of megawatts,” enough to power thousands of homes). It’s no wonder that OpenAI’s chief executive Sam Altman has put hundreds of millions of dollars into a fusion company.
But the models are not simply trained, they're used out in the world, generating outputs (think of what ChatGPT spits back at you). This process tends to be comparable to other common activities like streaming Netflix or using a lightbulb. This can be done with different hardware and the process is more distributed and less energy intensive.
As large language models are being developed, most computational power — and therefore most electricity — is used on training, Charlie Snell, a PhD student at University of California at Berkeley who studies artificial intelligence, told me. “For a long time training was the dominant term in computing because people weren’t using models much.” But as these models become more popular, that balance could shift.
“There will be a tipping point depending on the user load, when the total energy consumed by the inference requests is larger than the training,” said Jovan Stojkovic, a graduate student at the University of Illinois who has written about optimizing inference in large language models.
And these new reasoning models could bring that tipping point forward because of how computationally intensive they are.
“The more output a model produces, the more computations it has performed. So, long chain-of-thoughts leads to more energy consumption,” Husom of SINTEF Digital told me.
OpenAI staffers have been downright enthusiastic about the possibilities of having more time to think, seeing it as another breakthrough in artificial intelligence that could lead to subsequent breakthroughs on a range of scientific and mathematical problems. “o1 thinks for seconds, but we aim for future versions to think for hours, days, even weeks. Inference costs will be higher, but what cost would you pay for a new cancer drug? For breakthrough batteries? For a proof of the Riemann Hypothesis? AI can be more than chatbots,” OpenAI researcher Noam Brown tweeted.
But those “hours, days, even weeks” will mean more computation and “there is no doubt that the increased performance requires a lot of computation,” Husom said, along with more carbon emissions.
But Snell told me that might not be the end of the story. It’s possible that over the long term, the overall computing demands for constructing and operating large language models will remain fixed or possibly even decline.
While “the default is that as capabilities increase, demand will increase and there will be more inference,” Snell told me, “maybe we can squeeze reasoning capability into a small model ... Maybe we spend more on inference but it’s a much smaller model.”
OpenAI hints at this possibility, describing their o1-mini as “a smaller model optimized for STEM reasoning,” in contrast to other, larger models that “are pre-trained on vast datasets” and “have broad world knowledge,” which can make them “expensive and slow for real-world applications.” OpenAI is suggesting that a model can know less but think more and deliver comparable or better results to larger models — which might mean more efficient and less energy hungry large language models.
In short, thinking might use less brain power than remembering, even if you think for a very long time.
On Azerbaijan’s plans, offshore wind auctions, and solar jobs
Current conditions: Thousands of firefighters are battling raging blazes in Portugal • Shanghai could be hit by another typhoon this week • More than 18 inches of rain fell in less than 24 hours in Carolina Beach, which forecasters say is a one-in-a-thousand-year event.
Azerbaijan, the host of this year’s COP29, today put forward a list of “non-negotiated” initiatives for the November climate summit that will “supplement” the official mandated program. The action plan includes the creation of a new “Climate Finance Action Fun” that will take (voluntary) contributions from fossil fuel producing countries, a call for increasing battery storage capacity, an appeal for a global “truce” during the event, and a declaration aimed at curbing methane emissions from waste (which the Financial Times noted is “only the third most common man-made source of methane, after the energy and agricultural sectors”). The plan makes no mention of furthering efforts to phase out fossil fuels in the energy system.
The Interior Department set a date for an offshore wind energy lease sale in the Gulf of Maine, an area which the government sees as suitable for developing floating offshore wind technology. The auction will take place on October 29 and cover eight areas on the Outer Continental Shelf off Massachusetts, New Hampshire, and Maine. The area could provide 13 gigawatts of offshore wind energy, if fully developed. The Biden administration has a goal of installing 30 GW of offshore wind by 2030, and has approved about half that amount so far. The DOI’s terms and conditions for the October lease sale include “stipulations designed to promote the development of a robust domestic U.S. supply chain for floating wind.” Floating offshore wind turbines can be deployed in much deeper waters than traditional offshore projects, and could therefore unlock large areas for clean power generation. Last month the government gave the green light for researchers to study floating turbines in the Gulf of Maine.
In other wind news, BP is selling its U.S. onshore wind business, bp Wind Energy. The firm’s 10 wind farm projects have a total generating capacity of 1.3 gigawatts and analysts think they could be worth $2 billion. When it comes to renewables, the fossil fuel giant said it is focusing on investing in solar growth, and onshore wind is “not aligned” with those plans.
The number of jobs in the U.S. solar industry last year grew to 279,447, up 6% from 2022, according to a new report from the nonprofit Interstate Renewable Energy Council. Utility-scale solar added 1,888 jobs in 2023, a 6.8% increase and a nice rebound from 2022, when the utility-scale solar market recorded a loss in jobs. The report warns that we might not see the same kind of growth for solar jobs in 2024, though. Residential installations have dropped, and large utility-scale projects are struggling with grid connection. The report’s authors also note that as the industry grows, it faces a shortage of skilled workers.
Interstate Renewable Energy Council
Most employers reported that hiring qualified solar workers was difficult, especially in installation and project development. “It’s difficult because our projects are built in very rural areas where there just aren't a lot of people,” one interviewee who works at a utility-scale solar firm said. “We strive to hire as many local people as possible because we want local communities to feel the economic impact or benefit from our projects. So in some communities where we go, it is difficult to find local people that are skilled and can perform the work.”
The torrential rain that has battered central Europe is tapering off a bit, but the danger of rising water remains. “The massive amounts of rain that fell is now working its way through the river systems and we are starting to see flooding in areas that avoided the worst of the rain,” BBC meteorologist Matt Taylor explained. The Polish city of Nysa told its 44,000 residents to leave yesterday as water rose. In the Czech Republic, 70% of the town of Litovel was submerged in 3 feet of flooding. The death toll from the disaster has risen to 18. Now the forecast is calling for heavy rain in Italy. “The catastrophic rainfall hitting central Europe is exactly what scientists expect with climate change,” Joyce Kimutai, a climate scientist with Imperial College London’s Grantham Institute, toldThe Guardian.
A recent study examining the effects of London’s ultra-low emissions zone on how students get to school found that a year after the rules came into effect, many students had switched to walking, biking, or taking public transport instead of being driven in private vehicles.
Welcome to Decarbonize Your Life, Heatmap’s special report that aims to help you make decisions in your own life that are better for the climate, better for you, and better for the world we all live in. This is our attempt, in other words, to assist you in living something like a normal life while also making progress in the fight against climate change.
That means making smarter and more informed decisions about how climate change affects your life — and about how your life affects climate change. The point is not what you shouldn’t do (although there is some of that). It’s about what you should do to exert the most leverage on the global economic system and, hopefully, nudge things toward decarbonization just a little bit faster.
We certainly think we’ve hit upon a better way to think about climate action, but you don’t have to take our word for it. Keep reading here for more on how (and why) we think about decarbonizing your life — or just skip ahead to our recommendations, below.