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Category: climatology

AI Discovers Geophysical Turbulence Model

One of the biggest challenges in climate science and weather forecasting is predicting the effects of turbulence at spatial scales smaller than the resolution of atmospheric and oceanic models. Simplified sets of equations known as closure models can predict the statistics of this “subgrid” turbulence, but existing closure models are prone to dynamic instabilities or fail to account for rare, high-energy events. Now Karan Jakhar at the University of Chicago and his colleagues have applied an artificial-intelligence (AI) tool to data generated by numerical simulations to uncover an improved closure model [1]. The finding, which the researchers subsequently verified with a mathematical derivation, offers insights into the multiscale dynamics of atmospheric and oceanic turbulence. It also illustrates that AI-generated prediction models need not be “black boxes,” but can be transparent and understandable.

The team trained their AI—a so-called equation-discovery tool—on “ground-truth” data that they generated by performing computationally costly, high-resolution numerical simulations of several 2D turbulent flows. The AI selected the smallest number of mathematical functions (from a library of 930 possibilities) that, in combination, could reproduce the statistical properties of the dataset. Previously, researchers have used this approach to reproduce only the spatial structure of small-scale turbulent flows. The tool used by Jakhar and collaborators filtered for functions that correctly represented not only the structure but also energy transfer between spatial scales.

They tested the performance of the resulting closure model by applying it to a computationally practical, low-resolution version of the dataset. The model accurately captured the detailed flow structures and energy transfers that appeared in the high-resolution ground-truth data. It also predicted statistically rare conditions corresponding to extreme-weather events, which have challenged previous models.

Seeing the Quantum Butterfly Effect

A combined experimental and theoretical study reveals the emergence of quantum chaos in a complex system, suggesting that it can be described with a universal theoretical framework.

Consider the following thought experiment: Take all the air molecules in a thunderstorm and evolve them backward in time for an hour, effectively rewinding a molecular movie. Then slightly perturb the velocity directions of a few molecules and evolve the system forward again to the current moment. Because such systems are chaotic, microscopic perturbations in the past will lead to dramatically different futures. This “butterfly effect” also occurs in quantum systems. To observe it, researchers measure a mathematical entity called the out-of-time-ordered correlator (OTOC). Loosely speaking, the OTOC measures how quickly a system “forgets” its initial state. Unfortunately, the OTOC is notoriously difficult to measure because it typically requires experimental protocols that implement an effective many-body time reversal.

Intense sunlight reduces plant diversity and biomass across global grasslands, study finds

The sun is the basis for photosynthesis, but not all plants thrive in strong sunlight. Strong sunlight constrains plant diversity and plant biomass in the world’s grasslands, a new study shows. Temperature, precipitation, and atmospheric nitrogen deposition have less impact on plant diversity. These results were published in the Proceedings of the National Academy of Sciences by a research team led by Marie Spohn from the Swedish University of Agricultural Sciences.

The steppes of North America, the Serengeti savanna, the Svalbard tundra and natural pastures in the Alps are examples of habitats that are described as grasslands, with the common feature that there are no trees and the vegetation is dominated by grasses and other herbaceous plants. The diversity of plant species in these grasslands varies considerably, but the question of what controls plant diversity has challenged researchers for decades.

Last year, in a study on grasslands, Spohn from SLU and colleagues found that soil properties and climate factors, such as temperature, did not explain variations in plant diversity. “This finding surprised me,” says Spohn. “And that’s when I started wondering about the importance of sunlight for plant diversity in grasslands and decided to start a new project that would explore this relationship.”

Computer simulations reveal hurricane currents can knock down surface wave heights

Using advanced computer simulations, researchers from the University of Rhode Island’s Graduate School of Oceanography (GSO) have concluded how and why strong ocean currents modify surface waves. “Our primary finding is that hurricane-generated ocean currents can substantially reduce both the height and the dominant period of hurricane waves,” said Isaac Ginis, URI professor of oceanography. “The magnitude of wave reduction depends strongly on how accurately ocean currents are predicted. This highlights the importance of using fully coupled wave-ocean models when forecasting hurricane waves.”

Ginis conducted the research with URI Professor Tetsu Hara and Angelos Papandreou, who earned his Ph.D. in oceanography from URI in December 2025. Their results were published in a peer-reviewed article in the Journal of Physical Oceanography in January 2026.

According to Ginis, waves are most strongly reduced by currents on the front right of the storm, where winds, waves, and currents are typically strongest.

How a superionic state enables long-term water storage in Earth’s interior

The cycling of water within Earth’s interior regulates plate tectonics, volcanism, ocean volume, and climate stability, making it central to the planet’s long-term evolution and habitability and a key scientific question. While subducting slabs are known to transport water into the mantle, scientists have long assumed that most hydrous minerals dehydrate at high temperatures, releasing fluids as they descend.

Whether water can survive the extreme conditions of the deep lower mantle, however, has remained an open question.

Japan wakes up world’s biggest nuclear plant 15 years after Fukushima disaster

Just under 15 years after the catastrophic nuclear accident at the Fukushima Daiichi Nuclear Power Plant, Japan has officially restarted a reactor at the world’s largest nuclear plant.

While many argue for the benefits that nuclear power can provide amid a rapidly growing climate crisis, the dangers that it poses are evident across a number of notably horrific incidents over the years.

Disasters in Kyshtym and Chernobyl have displayed the dangerous potential that a nuclear accident can cause, and few have been quite as devastating as the incident that occurred in Fukushima back in 2011.

Evidence of ‘lightning-fast’ evolution found after Chicxulub impact

The asteroid that struck the Earth 66 million years ago devastated life across the planet, wiping out the dinosaurs and other organisms in a hail of fire and catastrophic climate change. But new research shows that it also set the stage for life to rebound astonishingly quickly.

New species of plankton appeared fewer than 2,000 years after the world-altering event, according to research led by scientists at The University of Texas at Austin and published in Geology.

Lead author Chris Lowery, a research associate professor at the University of Texas Institute for Geophysics (UTIG) at the Jackson School of Geosciences, said that it’s a remarkably quick evolutionary feat that has never been seen before in the fossil record. Typically, new species appear on roughly million-year time frames.

Tree bark microbes for climate management

In a new Science study, researchers report that bark microbes process methane, hydrogen, and carbon monoxide, showing that bark is an important component of global trace gas dynamics.

Learn more in a new Science Perspective.

Microbes living in bark can process the greenhouse gases methane, hydrogen, and carbon monoxide.

Vincent Gauci Authors Info & Affiliations

Science

Vol 391, Issue 6781

Continue reading “Tree bark microbes for climate management” | >

Cleaner ship fuel linked to reduced lightning in key shipping lanes

Cuts in sulfur emissions from oceangoing vessels have been tied to a reduction in lightning stroke density along heavily trafficked shipping routes in the Bay of Bengal and the South China Sea, according to new research from the University of Kansas.

The work is published in the journal npj Climate and Atmospheric Science.

Previous studies had found frequent lightning along shipping routes over the Bay of Bengal before a 2020 International Maritime Organization rule capped sulfur in fuel used by oceangoing ships, leading to a roughly 70% drop in sulfate emissions in the Bay of Bengal.

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