logo
Study finds planetary waves linked to wild summer weather have tripled since 1950

Study finds planetary waves linked to wild summer weather have tripled since 1950

WASHINGTON (AP) — Climate change has tripled the frequency of atmospheric wave events linked to extreme summer weather in the last 75 years and that may explain why long-range computer forecasts keep underestimating the surge in killer heat waves, droughts and floods, a new study says.
In the 1950s, Earth averaged about one extreme weather-inducing planetary wave event a summer, but now it is getting about three per summer, according to a study in Monday's Proceedings of the National Academy of Sciences. Planetary waves are connected to 2021's deadly and unprecedented Pacific Northwest heat wave , the 2010 Russian heatwave and Pakistan flooding and the 2003 killer European heatwave , the study said.
'If you're trying to visualize the planetary waves in the northern hemisphere, the easiest way to visualize them is on the weather map to look at the waviness in the jet stream as depicted on the weather map,' said study co-author Michael Mann, a University of Pennsylvania climate scientist.
Planetary waves flow across Earth all the time, but sometimes they get amplified, becoming stronger, and the jet stream gets wavier with bigger hills and valleys, Mann said. It's called quasi-resonant amplification or QRA.
This essentially means the wave gets stuck for weeks on end, locked in place. As a result, some places get seemingly endless rain while others endure oppressive heat with no relief.
'A classic pattern would be like a high pressure out west (in the United States) and a low pressure back East and in summer 2018, that's exactly what we had,' Mann said. 'We had that configuration locked in place for like a month. So they (in the West) got the heat, the drought and the wildfires. We (in the East) got the excessive rainfall.'
'It's deep and it's persistent,' Mann said. 'You accumulate the rain for days on end or the ground is getting baked for days on end.'
The study finds this is happening more often because of human-caused climate change, mostly from the burning of fossil fuels, specifically because the Arctic warms three to four times faster than the rest of the world. That means the temperature difference between the tropics and the Arctic is now much smaller than it used to be and that weakens the jet streams and the waves, making them more likely to get locked in place, Mann said.
'This study shines a light on yet another way human activities are disrupting the climate system that will come back to bite us all with more unprecedented and destructive summer weather events,' said Jennifer Francis, a climate scientist at the Woodwell Climate Research Center who wasn't involved in the research.
'Wave resonance does appear to be one reason for worsening summer extremes. On top of general warming and increased evaporation, it piles on an intermittent fluctuation in the jet stream that keeps weather systems from moving eastward as they normally would, making persistent heat, drought, and heavy rains more likely,' Francis said.
This is different than Francis' research on the jet stream and the polar vortex that induces winter extremes, said Mann.
There's also a natural connection. After an El Nino, a natural warming of the central Pacific that alters weather patterns worldwide, the next summer tends to be prone to more of these amplified QRA waves that become locked in place, Mann said. And since the summer of 2024 featured an El Nino, this summer will likely be more prone to this type of stuck jet stream, according to Mann.
While scientists have long predicted that as the world warms there will be more extremes, the increase has been much higher than what was expected, especially by computer model simulations, Mann and Francis said.
That's because the models 'are not capturing this one vital mechanism,' Mann said.
Unless society stops pumping more greenhouse gases in the air, 'we can expect multiple factors to worsen summer extremes,' Francis said. 'Heat waves will last longer, grow larger and get hotter. Worsening droughts will destroy more agriculture.'
____
The Associated Press' climate and environmental coverage receives financial support from multiple private foundations. AP is solely responsible for all content. Find AP's standards for working with philanthropies, a list of supporters and funded coverage areas at ap.org .

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

3Aware Announces Formation of Scientific Advisory Board
3Aware Announces Formation of Scientific Advisory Board

Associated Press

time20 minutes ago

  • Associated Press

3Aware Announces Formation of Scientific Advisory Board

INDIANAPOLIS, INDIANA / ACCESS Newswire / June 23, 2025 / 3Aware, a leading innovator in real-world evidence (RWE) solutions for the medical device industry, today announced the formation of its Scientific Advisory Board. The Board will advise on clinical, regulatory, and scientific strategy to support the company's work in RWE for medical devices. The Board's inaugural members are Dr. Bassil Akra, Dr. Philippe Auclair, and Dr. Trevor Carden. Dr. Akra will serve as Chair of the Scientific Advisory Board. Bassil Akra, PhD, is the CEO of AKRA TEAM GmbH, a medical device consulting firm he founded in 2021. He is a leading expert on European medical device regulations, having helped shape the implementation of the EU Medical Device Regulation (MDR) and In Vitro Diagnostic Regulation (IVDR). Dr. Akra previously served as Vice President of Strategic Business Development at TÜV SÜD, where he guided regulatory compliance and clinical strategy for medical device approvals. Philippe Auclair, PharmD, PhD, is Former Senior Director of Regulatory Strategy and Advocacy at Abbott. He has over 30 years of experience in the pharmaceutical and medical device industries, with a focus on global regulatory policy and post-market surveillance. Dr. Auclair chairs MedTech Europe's working groups on post-market surveillance and Notified Bodies, and he has been recognized as a Fellow of the Regulatory Affairs Professionals Society (RAPS) for his contributions to regulatory science. Trevor Carden, PhD, is Director of Scientific Affairs at Teleflex, where he leads the scientific and technical strategies for clinical evidence generation across a diverse medical device portfolio. With a PhD in genetics, genomics, and bioinformatics, Dr. Carden focuses on regulatory compliance and optimizing clinical evaluation processes. 'We are thrilled to welcome such esteemed experts to our Scientific Advisory Board,' said Amelia Hufford, PhD, Senior Vice President of Clinical & Regulatory Science at 3Aware. 'Their combined expertise in clinical research and regulatory policy will help ensure our real-world evidence initiatives meet the highest standards of scientific rigor and compliance.' 'This board's formation underscores 3Aware's commitment to delivering best-in-class solutions,' said Kyle Howes, Vice President of Sales at 3Aware. 'By engaging these industry leaders, we ensure our RWE platform continues to deliver exceptional value and instill confidence in our clients.' 'I am honored to join 3Aware's Scientific Advisory Board,' said Dr. Bassil Akra. 'Real-world evidence is increasingly critical for advancing medical device innovation and patient safety. I look forward to working with the 3Aware team to maximize the impact of RWE for device manufacturers.' Contact InformationPhil Stoltzfus VP of Marketing & Public Relations SOURCE: 3Aware press release

Six Ways To Advance Modern Architecture For AI Systems
Six Ways To Advance Modern Architecture For AI Systems

Forbes

time22 minutes ago

  • Forbes

Six Ways To Advance Modern Architecture For AI Systems

View of the clouds reflected in the curve glass office building. 3d rendering These days, many engineering teams are coming up against a common problem – basically speaking, the models are too big. This problem comes in various forms, but there's often a connecting thread and a commonality to the challenges. Project are running up against memory constraints. As parameters range into the billions and trillions, data centers have to keep up. Stakeholders have to look out for thresholds in vendor services. Cost is generally an issue. However, there are new technologies on the horizon that can take that memory footprint and compute burden, and reduce them to something more manageable. How are today's innovators doing this? Let's take a look. Input and Data Compression First of all, there is the compression of inputs. You can design a loss algorithm to compress the model, and even run a compressed model versus the full one; compression methodologies are saving space when it comes to specialized neural network function. Here's a snippet from a paper posted at Apple's Machine Learning Research resource: 'Recently, several works have shown significant success in training-free and data-free compression (pruning and quantization) of LLMs achieving 50-60% sparsity and reducing the bit-width down to 3 or 4 bits per weight, with negligible perplexity degradation over the uncompressed baseline.' That's one example of how this can work. This Microsoft document looks at prompt compression, another component of looking at how to shrink or reduce data in systems. The Sparsity Approach: Focus and Variation Sometimes you can carve away part of the system design, in order to save resources. Think about a model where all of the attention areas work the same way. But maybe some of the input area is basically white space, where the rest of it is complex and relevant. Should the model's coverage be homogenous or one-size-fits-all? You're spending the same amount of compute on high and low attention areas. Alternately, people engineering the systems can remove the tokens that don't get a lot of attention, based on what's important and what's not. Now in this part of the effort, you're seeing hardware advances as well. More specialized GPU and multicore processors can have an advantage when it comes to this kind of differentiation, so take a look at everything that makers are doing to usher in a whole new class of GPU gear. Changing Context Strings Another major problem with network size is related to the context windows that systems use. If they are typical large language systems operating on a sequence, the length of that sequence is important. Context means more of certain kinds of functionality, but it also requires more resources. By changing the context, you change the 'appetite' of the system. Here's a bit from the above resource on prompt compression: 'While longer prompts hold considerable potential, they also introduce a host of issues, such as the need to exceed the chat window's maximum limit, a reduced capacity for retaining contextual information, and an increase in API costs, both in monetary terms and computational resources.' Directly after that, the authors go into solutions that might have broad application, in theory, to different kinds of fixes. Dynamic Models and Strong Inference Here are two more big trends right now: one is the emergence of strong inference systems, where the machine teaches itself what to do over time based on its past experience. Another is dynamic systems, where the input weights and everything else changes over time, rather than remaining the same. Both of these have some amount of promise, as well, for helping to match the design and engineering needs that people have when they're building the systems. There's also the diffusion model where you add noise, analyze, and remove that noise to come up with a new generative result. We talked about this last week in a post about the best ways to pursue AI. Last, but not least, we can evaluate traditional systems such as digital twinning. Twinning is great for precise simulations, but it takes a lot of resources – if there's a better way to do something, you might be able to save a lot of compute that way. These are just some of the solutions that we've been hearing about and they dovetail with the idea of edge computing, where you're doing more on an endpoint device at the edge of a network. Microcontrollers and small components can be a new way to crunch data without sending it through the cloud to some centralized location. Think about all of these advances as we sit through more of what people are doing these days with AI.

A car-sized camera captures the cosmos.
A car-sized camera captures the cosmos.

The Verge

timean hour ago

  • The Verge

A car-sized camera captures the cosmos.

A car-sized camera captures the cosmos. The Vera C. Rubin Observatory has released the first images taken by its Legacy Survey of Space and Time (LSST) camera — the largest digital camera ever made — ahead of starting its 10-year survey of the southern sky. You can read up on details about these shots in PetaPixel's report, and more images and video will be released later today following a Rubin Observatory livestream at 11AM ET.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store