Apple TV on Thursday announced an all-new season five of the beloved, award-winning animated kids and family series “Stillwater,” premiering with five episodes on Friday, August 21, 2026. Based on the bestselling Scholastic “Zen” book series by Jon J Muth, “Stillwater” follows a wise panda who teaches three young siblings about the world and each other. The series centers on siblings Karl (Judah Mackey), Addy (Eva Ariel Binder) and Michael (Tucker Chandler), who encounter everyday challenges — big and small — which sometimes feel insurmountable. Fortunately for these three, they have Stillwater (James Sie), a wise panda, as their next-door neighbor. Through his example, stories and gentle humor, Stillwater teaches the children the concept of mindfulness, while offering them a deeper understanding of their feelings as well as tools that help them face their own day-to-day challenges. “Stillwater” is produced for Apple TV by Gaumont and Scholastic Entertainment.

Take a deep breath and embrace your inner peace by embarking on a fun adventure with the first four seasons of “Stillwater” available on Apple TV. Through breathing exercises, mindful moments and simple everyday practices, this uplifting, Peabody and Daytime Emmy Award-winning series invites you and your family to discover your own zen through each episode. “Stillwater” was produced through Apple TV’s changemakers initiative in collaboration with awareness and intention expert Mallika Chopra, author of “Buddha and the Rose” and the “Just Be” series for kids.

Gaumont and Scholastic Entertainment produce, with Sidonie Dumas, Nicolas Atlan, Terry Kalagian, Iole Lucchese, Caitlin Friedman, Jef Kaminsky, Jun Falkenstein and Rob Hoegee serving as executive producers. In addition, the series features the voice talents of Sie, Binder, Chandler and Mackey.

The exciting slate of recent offerings for kids and families on Apple TV also features “My Brother the Minotaur,” from Academy Award-nominated animation studio Cartoon Saloon and award-winning children’s media company Dog Ears; “Wonder Pets: In the City,” from Emmy Award winner Jennifer Oxley and produced by Nickelodeon Animation; animated adventure trilogy “WondLa,” based on the New York Times bestselling book series “The Search for WondLa” by Tony DiTerlizzi; highly anticipated kids and family series “Yo Gabba GabbaLand!” inspired by the hit, Emmy Award-nominated cultural phenomenon “Yo Gabba Gabba!”; season two of Emmy Award-winning “Shape Island,” based on the internationally bestselling picture books from Mac Barnett and Jon Klassen; animated fantasy adventure series “The Sisters Grimm,” based on Michael Buckley’s New York Times bestselling book series; the music-driven animated comedy series “BE@RBRICK” from DreamWorks Animation; “Goldie,” inspired by Emily Brundige’s award-winning 2019 short film of the same name, and many more.

Award-winning all-ages offerings now streaming globally on Apple TV also include the BAFTA Award and Emmy Award-winning live-action animated hybrid special “The Velveteen Rabbit,” BAFTA Award and Humanitas Prize-winning “El Deafo,” BAFTA Award-winning “Lovely Little Farm,” “Duck & Goose,” “Get Rolling With Otis,” Spin Master Entertainment’s “Sago Mini Friends,” Emmy Award-winning “Frog and Toad,” based on the Caldecott and Newbery Honor-winning books, Annie Award-nominated “Not a Box,” GLAAD Media Award-nominated “Pinecone & Pony,” The Jim Henson Company’s Emmy Award-winning “Fraggle Rock: Back to the Rock,” “Harriet the Spy” and “Slumberkins,” Sesame Workshop’s “Helpsters,” Joseph Gordon-Levitt, HITRECORD and Bento Box Entertainment’s “Wolfboy and the Everything Factory,” Jack McBrayer and Angela C. Santomero’s and Emmy Award-nominated “Hello, Jack! The Kindness Show.” Live-action offerings include “Me,” an elevated cinematic coming-of-age story from Barry L. Levy, Bonnie Hunt’s DGA Award and WGA Award-nominated “Amber Brown,” DGA Award-winning “Best Foot Forward,” “Surfside Girls,” WGA Award-winning “Life By Ella,” Sesame Workshop and Sinking Ship’s Emmy Award-winning “Ghostwriter,” Emmy Award and Environmental Media Association Award-winning “Jane,” and Scholastic’s “Puppy Place.” “Here We Are: Notes for Living on Planet Earth,” the Emmy Award-winning television event based on the New York Times bestselling book and TIME Best Book of the Year by Oliver Jeffers, is also featured.

Apple TV offers premium, compelling drama and comedy series, feature films, groundbreaking documentaries, and kids and family entertainment, and is available to watch across all of a user’s favorite screens. After its launch on November 1, 2019, Apple TV became the first all-original streaming service to launch around the world, and has premiered more original hits and received more award recognitions faster than any other streaming service in its debut. To date, Apple Original films, documentaries and series have been honored with 850 wins and 3,737 award nominations and counting including multi-Emmy Award-winning and history-making comedies “The Studio” and “Ted Lasso,” global cultural phenomenon “Severance,” Apple’s most-viewed drama “Pluribus,” Academy Award Best Picture winner “CODA” and Academy Award winner “F1,” the highest-grossing sports feature of all time.

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The post Apple TV’s beloved kids series ‘Stillwater’ set to premiere all-new fifth season August 21st appeared first on MacDailyNews.

A new analysis suggests the four sub-Earth exoplanets orbiting Barnard’s star -- the Sun’s nearest single-star neighbor -- are likely packed with the deep-Earth mineral periclase, stripped of their atmospheres and far too hostile to support life.

The post Barnard’s Star Planetary System May Be Filled with Water-Poor Rocky Worlds appeared first on Sci.News: Breaking Science News.

The properties of water are unusual among liquids—it expands when it freezes, reaches its highest density just above freezing, and does not behave like the simple liquids chemists often use to understand matter.

Now, a new study in Communications Chemistry uses artificial intelligence to compare competing methods for measuring water’s hidden molecular order and determine which are truly effective.

Researchers at the University of Osaka developed a neural network to test 16 different ‘structural descriptors,’ which are mathematical tools for measuring how ordered or disordered water molecules are at the microscopic scale. Over the past 30 years, scientists have independently developed these descriptors, each with its own approach and scale, all aimed at explaining the same underlying puzzle.

Until now, researchers lacked a standard method for comparing them directly—a gap this study fills.

Water’s Split Personality

Distinguishing Hot From Cold

To establish a common standard, the Osaka team trained a neural network using molecular dynamics simulations of water at temperatures from 200 to 300 Kelvin. Using only the values from a single structural descriptor, it had to predict the temperature at which each molecular configuration was generated. If a descriptor captured meaningful structural information, the network could easily distinguish hot from cold.

“Past studies have shown that using machine learning to classify and understand structural data is effective,” says corresponding author Kang Kim. “We specifically wanted to incorporate a neural network model into this study to evaluate how accurate the descriptors were at capturing key structural information, in a way that is like human cognition.”

The network assessed each descriptor using a standard classification measure. To deepen their analysis, the team used an explainable AI technique called LIME. This method looks at how the model makes its decisions and checks whether its reasoning matches established physical principles, instead of relying only on statistical patterns.

Two Descriptors Pull Ahead

Out of the 16 descriptors tested, two stood out. The Local Structure Index (LSI) and another, referred to as zeta (ζ), both of which measure the distance between the first and second layers of neighboring molecules, achieved nearly perfect accuracy across the tested temperatures. Another group, based on how hydrogen bonds connect, also scored well but was not as accurate as the others. Older descriptors that rely on tetrahedral angles or interaction energies became less accurate at higher temperatures, where molecules move more, and the differences blur.

“The network used what it had learned to compare how 16 descriptors differentiated between LDL and HDL structures at different temperatures,” says senior author Nobuyuki Matubayasi. “In this way, we determined the most efficient descriptors.”

The LIME analysis backed up the network’s results with evidence consistent with scientists’ expectations. Molecules with high Local Structure Index and zeta values led the model to predict lower temperatures, which is consistent with the idea that more ordered, LDL-like structures appear as water cools. This suggests that the network captured more than just statistical correlations.

With a common framework for comparing descriptors in place, researchers could attempt to develop descriptors that directly identify HDL and LDL environments rather than infer them indirectly. Whether these new tools will finally solve one of water’s biggest mysteries, the point where its two proposed liquid forms fully separate, is something scientists are just starting to investigate.

Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.

A team of physicists set out to recreate a 60-year-old quantum mystery using a large water tank. While their experiment produced the expected results, it also revealed an unexpected behavior in the water.

The experiment centered on the Aharonov–Bohm effect, a strange quantum phenomenon where electrons respond to a magnetic field even when they never actually pass through it. First predicted back in 1959, this effect has been notoriously difficult to confirm because the changes it causes in electron waves are incredibly subtle.

Instead of using electrons and a particle accelerator, researchers from the Okinawa Institute of Science and Technology (OIST), along with collaborators in Oslo and Chile, recreated the effect using water waves, making an otherwise invisible quantum effect visible in a tabletop experiment. The team reported their findings in Communications Physics.

A 1980 Idea Gets a Modern Upgrade

“With waves traveling the opposite direction, you see a mirror image pattern,” says Jonas Rønning, co- author and former postdoc in the OIST unit. “The question for us was, what happens if you send waves from both directions at the same time? We thought that the patterns might cancel each other out, or both pitchfork-like patterns would be visible, but our intuition was completely wrong.”

Two Waves Walk Into a Vortex

The researchers constructed a custom tank, created a vortex at its center, and sent waves from opposite sides to meet in the middle. They used a high-speed camera to observe how the waves interacted on the water’s surface.

Without a vortex, the peaks and troughs remain in place. When the vortex is there, the standing wave breaks down. The vortex shifts the phase of the waves as they travel around it, altering the standing-wave interference pattern and creating rotating nodal lines. These are lines of momentarily flat water that spiral outward and turn in the opposite direction of the vortex.

“This was something new and unexpected,” says Aditya Singh, a PhD student in the Nonlinear and Non-equilibrium Physics Unit and co-first author of the study. “That’s what makes this fluid analogue system so valuable. It reveals topological effects — wave behaviors that occur across the whole system — that can’t be seen in quantum experiments.”

At first, the team suspected their equipment was causing the rotating lines. However, the same pattern also appeared in their computer simulations.

“When we first saw these lines, we thought they were an experimental artifact,” Singh says. “But when we also saw them in our simulations, we dropped everything and quickly worked out the mathematics underlying how they arise.”

More Speed, More Lines

As the strength of the vortex increased, more rotating nodal lines appeared, always moving in the direction opposite to the vortex. The study showed that the number of lines is quantized, meaning it is fixed to whole-number values determined by the vortex’s circulation. In other words, the topology of the vortex determines how many rotating nodal lines appear. This effect was observed across the entire wave field, not just near the vortex core as earlier models suggested.

This finding differs from Berry’s original experiment, which observed changes only near the vortex. In this case, the researchers discovered a non-local effect, a pattern that covers the entire system and depends on the overall setup. Instead of being limited to the area near the vortex, the rotating nodal lines appeared throughout the whole standing-wave pattern.

Although the practical uses of these newly discovered nodal patterns are not yet clear, the study shows that simple classical systems can reveal behaviors that are challenging to observe in quantum experiments. By making these effects visible, the researchers plan to explore more complex wave systems that could offer new insights into superconductivity and other quantum phenomena.

“One direction is to make the system more complex by introducing multiple vortices and arranging them into a lattice,” senior author Mahesh Bandi says. “That setup would mirror conditions in some superconducting materials, with the water waves behaving like a supercurrent. We don’t yet know what we’ll see — and that’s exactly what makes it worth doing.”

Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.

Nearly 170 billion tons of ice melt off the Greenland Ice Sheet every year, but scientists don’t fully understand the process by which this melting occurs. Researchers in the past suggested that liquid water forms at the glacier’s surface, where warm air and sunlight melt the ice. This meltwater travels down through cracks in the glacier and along the bedrock beneath it and flows out to sea. 

However, some scientists view this model as too simple because it assumes water only flows downward and ignores how temperature affects water movement. They argue that an oversimplified melting model is unreliable for predicting how future ice sheets will behave.

One group of researchers tested this by investigating how water movement across Greenland is controlled by lakes beneath the ice sheet, called subglacial lakes. They monitored a newly discovered subglacial lake using high-resolution satellite images taken from 2012 to 2019 and 3D surface maps generated from the images. They focused on ice sheet changes from July 22 to August 1, 2014, during a suspected subglacial lake drainage event. A drainage event is like a water balloon that’s too full, bursting from excess pressure. 

They examined images of the Greenland ice sheet taken from Landsat-8, 3D surface maps from the Polar Geospatial Center, and data from ICESat and ICESat-2 taken in the summer of 2014. Based on these data, the researchers identified a 2-square-kilometer (0.8-square-mile) region of ice rising 10 to 15 meters (about 30 to 50 feet), forming a dome on the ice sheet’s surface. They suggested that this dome formed when a large, meltwater-fed lake developed on the bedrock beneath the ice sheet, pushing the ice upward. 

They also saw that on July 22, 2014, the dome began to collapse. Over the next 10 days, it dropped by 85 meters (about 280 feet), forming a basin. Using the dome’s dimensions, the researchers estimated that 90 million cubic meters, or about 3 billion cubic feet, of water drained from the lake at an average rate of 100 cubic meters, or about 3500 cubic feet, per second over the 10 days. This is roughly equivalent to 36,000 Olympic swimming pools draining at a rate of 1 pool every 25 seconds! 

The researchers also found that during the collapse, 40-meter-high (130-foot) ice blocks were uprooted about 1 kilometer (0.6 mile) downstream from the basin, followed by 6 square kilometers (about 2 square miles) of smooth ice. The researchers hypothesized that these features formed when water burst through the ice, flowed along its surface, and then reentered the ice sheet.

Next, they used data from Landsat 5, Landsat 9, the National Snow and Ice Data Center, and the U.S. Geological Survey to demonstrate that the drainage event also affected the surrounding environment. When the water reentered the ice sheet, it flowed beneath the Harding Glacier downstream. This influx of fast-moving water reduced pressure at the glacier’s base, slowing its movement. Simultaneously, the increased drainage beneath the Harding Glacier caused 500 to 600 meters (about 1,600 to 2,000 feet) of ice to break off its end. 

In response to these changes, the researchers hypothesized that subglacial waters rose to the surface rather than sinking to the bedrock because the ice sheet was frozen to it. To test this, they simulated temperatures at the base of the ice sheet using computer-generated thermal models. They input a range of likely bedrock temperatures and ice thicknesses to simulate possible conditions under the ice sheet. They found that all the simulations predicted the glacier’s base would remain below -5°C (23°F). At such low temperatures, the ice would be frozen to the bedrock before subglacial water could drain out. Since water couldn’t flow under the glacier, it was forced to travel upward. 

The researchers used these findings to develop a new conceptual model of how glacial meltwater moves. First, surface ice melts and flows into a subglacial lake. As meltwater accumulates, pressure builds at the base of the ice sheet, forming a dome on the surface. A drainage event causes the dome to collapse. As water moves downward through the glacier, it is blocked from reaching the base because the ice is frozen to the bedrock. The water then moves upward, bursts through the surface, travels across it, and eventually reenters the glacier before draining to the ocean.

The team concluded that water movement above, through, and below glaciers is interconnected. Destructive upward flow of meltwater, followed by downward flow beneath glaciers, can weaken ice sheet structure and alter downstream glacier dynamics. Their work highlights the need for more scientists to consider the processes driving glacial ice loss.

The post How do ice sheets melt? appeared first on Sciworthy.

They suck up energy and water, and blast out heat. Just who is better off from all this investment – aside from tech bros?

The two great existential threats of our time – the climate crisis and AI – come hurtling together in the explosion of datacentres across Australia and around the world.

You can hardly avoid hearing about them these days, either with awed reverence of the promised benefits to humankind or with fear and anger given the implications for the climate, inflation, jobs and even housing affordability.

Readers respond to an article about Erin Brockovich’s battle against datacentres and voice their fears for the environment

What are the benefits obtained from AI’s massive use of electricity and water (‘We’re up against forces that have all the money in the world’: Erin Brockovich on her battle against AI datacentres, 29 June)? Analysis shows that the top four uses of AI are “therapy/companionship”, “technical assistance and troubleshooting”, “fun and nonsense”, and “fan fiction and storytelling”.

AI use for therapy, and due to loneliness, appears not to reduce loneliness. AI provides affirmation, but at the expense of reducing the social skills needed to interact in the real world. Teachers report that students’ use of AI reduces their capacity for critical thinking.

The interstellar comet 3I/ATLAS carries a chemical fingerprint unlike anything in our Solar System, and it may have formed 10 to 12 billion years ago, before our Sun even existed, according to two papers published in the journal Nature.

The post Interstellar Comet 3I/ATLAS Formed Up To 12 Billion Years Ago, New Observations Suggest appeared first on Sci.News: Breaking Science News.

The main-belt asteroid Donaldjohanson, a heavily cratered fragment born from a catastrophic breakup 155 million years ago, appears to wobble through space while preserving clues to the migration of water-rich worlds in the early Solar System, according to a new analysis of images and data from NASA’s Lucy spacecraft.

The post Asteroid Donaldjohanson is Wobbly, Peanut-Shaped Object with Watery Past, Scientists Say appeared first on Sci.News: Breaking Science News.

In a groundbreaking development that could revolutionize the future of clean energy, researchers have unveiled a novel material designed to dramatically enhance uranium extraction from seawater. This latest advance hinges on the innovative use of a hollow hierarchical covalent organic framework (COF) characterized by bidirectional reactant flux coupling. This unique structural and functional design enables unprecedented efficiency in capturing uranium ions from the vast and dilute oceanic reservoir, with far-reaching implications for sustainable nuclear fuel supply and environmental safety.

Uranium, a critical element for nuclear power generation, exists in seawater at extremely low concentrations—approximately 3.3 parts per billion—making its extraction both technically challenging and economically prohibitive. Traditional mining techniques are resource-intensive and often environmentally detrimental, prompting scientists to pursue alternative methods, particularly adsorption-based techniques that leverage specialized materials. However, these materials have generally faced limitations including slow kinetics, low selectivity, and limited recyclability, which curb their practical applications. The newly reported COF-based material addresses these challenges head-on by integrating a sophisticated structural architecture with dynamic chemical properties.

At the heart of this innovation is the concept of bidirectional reactant flux coupling, an advanced mechanism that facilitates the simultaneous transport and interaction of multiple ionic species within the COF pores. Unlike conventional adsorbents that rely on unidirectional ion diffusion, this bidirectional flux allows for a synergistic interplay between uranium ions and reactants or functional groups embedded within the framework, effectively accelerating the uranium uptake process. This mechanism enhances both the selectivity and capacity of the material, setting a new benchmark in adsorption performance.

The hollow hierarchical structure of the COF is ingeniously engineered to maximize surface area while ensuring efficient mass transport. Typically, higher surface areas in porous materials improve adsorption capabilities, but this often comes at the expense of diffusion limitations. In this COF, the hierarchy of pore sizes—from large hollow channels to smaller microporous domains—facilitates rapid access of uranium ions to active binding sites. This multiscale porosity coupled with controlled chemical environments inside the pores promotes a highly effective capture process that is robust even in the complex ionic milieu of seawater.

Chemically, the COF is adorned with functional groups optimized to coordinate uranium ions selectively. These ligands, typically nitrogen- or oxygen-rich moieties, form strong yet reversible bonds with uranyl species (UO2^2+) prevalent in seawater. The reversibility of the adsorption process is crucial, enabling the material to be regenerated and reused multiple times without significant loss of performance. This recyclability translates into lower operational costs and improved environmental metrics compared to single-use adsorbents or conventional extraction methods.

The synthesis of the COF involves precise control over the polymerization conditions and monomer selection to achieve the desired hollow architecture and functional group distribution. The researchers utilized a bottom-up strategy, leveraging modular organic building blocks that self-assemble into crystalline frameworks. This level of control allows for fine-tuning the pore size distribution, surface chemistry, and overall material stability, ensuring resilience under harsh marine conditions. The material exhibits excellent chemical and mechanical stability, maintaining performance over extended exposure to seawater, which is a known challenge for many adsorbents due to corrosive salts and biofouling.

Advanced characterization techniques, such as electron microscopy and synchrotron X-ray diffraction, were employed to elucidate the hierarchical structure and confirm the integrity of the COF post-synthesis. Spectroscopic analyses, including X-ray photoelectron spectroscopy (XPS) and Fourier-transform infrared spectroscopy (FTIR), provided insights into the chemical environment of the active sites and the nature of the uranium interaction. In situ studies revealed real-time adsorption dynamics, underpinning the understanding of the bidirectional flux and exchange mechanisms.

Benchmarked against existing adsorbents, the hollow hierarchical COF demonstrated uranium extraction efficiencies that are significantly higher, with faster kinetics and enhanced selectivity. The material consistently achieved high uranium uptake capacities in seawater samples, far exceeding traditional polymeric adsorbents and metal-organic frameworks previously reported. Equally important, the COF retained its adsorption performance over numerous cycles, underscoring its practical potential for long-term deployment.

The implications of this research extend beyond uranium extraction alone. The fundamental principles of bidirectional reactant flux coupling and hierarchical structural design can be applied to other separation and purification challenges in aqueous environments—such as desalination, pollutant removal, and rare earth element recovery. This cross-disciplinary potential suggests that the material design approach could ignite a new era in functional porous materials tailored for sustainability.

Furthermore, by enabling access to one of the planet’s most abundant uranium reservoirs, the oceans, this technology promises to mitigate supply risks associated with terrestrial uranium mining. Given the strategic importance of nuclear energy in reducing carbon emissions and combating climate change, materials that make nuclear fuel sourcing cleaner and more efficient could accelerate the transition to low-carbon energy systems globally.

Environmental considerations were also addressed, with preliminary life cycle analyses indicating that using the COF-based extraction process can reduce the ecological footprint relative to conventional mining. The absence of harmful solvents and the material’s recyclability contribute to eco-friendliness, while the ability to capture uranium directly from seawater minimizes disruption to terrestrial ecosystems. The potential for integrating this material into large-scale ocean-based extraction systems holds promise for sustainable resource utilization.

Looking ahead, the challenges to commercialization include scaling synthesis, engineering large-format adsorbent modules, and optimizing deployment strategies in marine environments. However, the foundational knowledge established in this study provides a clear roadmap for overcoming these hurdles. Collaborative efforts between material scientists, chemical engineers, and environmental specialists will be crucial to translate this laboratory breakthrough into a viable industrial technology.

The research team envisions that future iterations of the COF will incorporate multifunctional sites to simultaneously capture other critical elements present in seawater, thereby enhancing economic viability. Moreover, integration with renewable energy-powered extraction stations could further reduce the carbon footprint of nuclear fuel procurement, aligning with global clean energy initiatives.

In summary, this pioneering work represents a significant stride toward unlocking the ocean’s uranium wealth through innovative material science. The hollow hierarchical covalent organic framework with bidirectional reactant flux coupling introduces a new paradigm in adsorption technologies, combining structural elegance with chemical sophistication. As the world grapples with energy security and environmental responsibility, such advances offer a beacon of hope and a tangible path forward for sustainable nuclear energy production.

Subject of Research: Uranium extraction from seawater using advanced covalent organic frameworks.

Article Title: Bidirectional reactant flux coupling in hollow hierarchical covalent organic framework enabling efficient uranium extraction from seawater.

Article References:
Zhang, J., Cao, X., Zhang, J. et al. Bidirectional reactant flux coupling in hollow hierarchical covalent organic framework enabling efficient uranium extraction from seawater. Nat Commun (2026). https://doi.org/10.1038/s41467-026-74724-3

Image Credits: AI Generated

June 7, 2023

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Image Details

Little water remains in the San Carlos Reservoir in May 2026 (right) compared to fuller conditions in June 2023 (left). Images were captured by the OLI (Operational Land Imager) on the Landsat 9 and 8 satellites, respectively. NASA Earth Observatory images by Michala Garrison.

The Gila River is among the Southwest’s most important rivers, delivering water for people, farms, and wildlife while linking the snow-fed mountains of southwestern New Mexico to the desert lowlands of southwestern Arizona.

In wetter years, seasonal snowfall on the Mogollon Mountains and Black Range provides much of the river’s spring flow and helps refill San Carlos Reservoir, which is formed by the Coolidge Dam. When filled to capacity, the reservoir is one of Arizona’s largest bodies of water.

However, in 2026, lackluster snowfall left the mountain snowpack in the Gila River watershed at 2 percent of the 1991-2020 March median. The limited snowpack pushed April streamflow to 39 percent of normal. By June, after mandatory water releases for downstream agriculture, the reservoir held less than 400 acre-feet of water.

The Landsat image above (right) shows the near-empty reservoir on May 22, 2026, when it stored 389 acre-feet of water—less than 1 percent full; the other image (left) shows the same area in June 2023, when it was about 60 percent full. The green vegetation growing along the river channel and reservoir edge includes a mixture of tamarisk, willow, cottonwood, sedges, and grasses.

Officials closed the reservoir indefinitely on June 5, 2026, after the declining water levels contributed to low oxygen levels—hypoxia—that killed virtually all of its fish. Species living in the reservoir included largemouth bass, black crappie, bluegill, channel catfish, flathead catfish, and several stocked species, including brown trout and rainbow trout. The decomposing fish may pose health risks to people attempting to boat or fish, the San Carlos Recreation and Wildlife Department warned.

The reservoir has hit similarly low water levels in the past, running out of water at least 20 times since it was filled in 1930, according to news reports. Even when the dam and reservoir were first dedicated, there was enough grass growing on the dried reservoir bottom that humorist Will Rogers famously quipped to President Calvin Coolidge: “If that was my lake, I’d mow it.”

Other years with major fish kills include 1976 and 2018. After more than 5 million fish died during a similar event in 1976, the Gila Herald reported that it took five years for the lake’s ecosystem to rebound.

The region is currently in the midst of a multi-year dry period that has left much of the Gila River’s headwaters in New Mexico in a state of severe drought, according to data from the U.S. Drought Monitor.

However, the river’s flow is highly variable, and heavy rains during the coming wet season could help the reservoir recover. A seasonal monsoon outlook released by NOAA in May 2026 projected a 33 to 50 percent chance that an above-average amount of rain would fall in the region that summer. El Niño in the central and eastern equatorial Pacific, which was strengthening in late spring 2026, can make heavy rains in the U.S. Southwest more likely.

NASA Earth Observatory images by Michala Garrison, using Landsat data from the U.S. Geological Survey. Story by Adam Voiland.

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References & Resources

• Arizona Silver Belt (2026, April 23) Low water levels prompt lifted fishing limits at San Carlos Lake. Accessed June 16, 2026.
• Calvin Coolidge Presidential Foundation (2015, March 4) 85 Years of the Coolidge Dam! Accessed June 16, 2026.
• Gila Herald (2026, June 7) San Carlos Lake Closed Indefinitely Following Catastrophic “100% Fish Kill.” Accessed June 16, 2026.
• Natural Resources Conservation Service (2026, April 1) New Mexico Water Supply Outlook Report. Accessed June 16, 2026.
• National Weather Service (2026, May 21) 2026 Arizona Monsoon Outlook. Accessed June 16, 2026.
• National Integrated Drought Information System (2026, June 9) Lower Colorado Region Watershed Drought Information. Accessed June 16, 2026.
• National Weather Service (2026, May 4) Drought Information Statement for Southern NM/Far West TX. Accessed June 16, 2026.
• Pinal Central (2026, June 6) San Carlos Reservoir level very low, but not unprecedented. Accessed June 16, 2026.
• San Carlos Recreation and Wildlife Department (2026, June 5) San Carlos Lake Closure. Accessed June 16, 2026.
• True West (2016, February 1) Will Rogers in Arizona. Accessed June 16, 2026.
• The University of Arizona (2026, May 28) Southwest Climate Outlook. Accessed June 16, 2026.
• U.S. Geological Survey (2026, June 15) San Carlos Reservoir at Coolidge Dam, AZ. Accessed June 16, 2026.
• USA Today (2026, June 9) Massive fish kill forces indefinite closure of Arizona lake. Accessed June 16, 2026.
• Western-Water (2026, June 8) San Carlos Reservoir: Drought kills every fish. Accessed June 16, 2026.

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The post Low Water at San Carlos Reservoir appeared first on NASA Science.

June 7, 2023

May 22, 2026

June 7, 2023May 22, 2026

June 7, 2023

May 22, 2026

CurtainToggle2-Up

Image Details

Little water remains in the San Carlos Reservoir in May 2026 (right) compared to fuller conditions in June 2023 (left). Images were captured by the OLI (Operational Land Imager) on the Landsat 9 and 8 satellites, respectively. NASA Earth Observatory images by Michala Garrison.

The Gila River is among the Southwest’s most important rivers, delivering water for people, farms, and wildlife while linking the snow-fed mountains of southwestern New Mexico to the desert lowlands of southwestern Arizona.

In wetter years, seasonal snowfall on the Mogollon Mountains and Black Range provides much of the river’s spring flow and helps refill San Carlos Reservoir, which is formed by the Coolidge Dam. When filled to capacity, the reservoir is one of Arizona’s largest bodies of water.

However, in 2026, lackluster snowfall left the mountain snowpack in the Gila River watershed at 2 percent of the 1991-2020 March median. The limited snowpack pushed April streamflow to 39 percent of normal. By June, after mandatory water releases for downstream agriculture, the reservoir held less than 400 acre-feet of water.

The Landsat image above (right) shows the near-empty reservoir on May 22, 2026, when it stored 389 acre-feet of water—less than 1 percent full; the other image (left) shows the same area in June 2023, when it was about 60 percent full. The green vegetation growing along the river channel and reservoir edge includes a mixture of tamarisk, willow, cottonwood, sedges, and grasses.

Officials closed the reservoir indefinitely on June 5, 2026, after the declining water levels contributed to low oxygen levels—hypoxia—that killed virtually all of its fish. Species living in the reservoir included largemouth bass, black crappie, bluegill, channel catfish, flathead catfish, and several stocked species, including brown trout and rainbow trout. The decomposing fish may pose health risks to people attempting to boat or fish, the San Carlos Recreation and Wildlife Department warned.

The reservoir has hit similarly low water levels in the past, running out of water at least 20 times since it was filled in 1930, according to news reports. Even when the dam and reservoir were first dedicated, there was enough grass growing on the dried reservoir bottom that humorist Will Rogers famously quipped to President Calvin Coolidge: “If that was my lake, I’d mow it.”

Other years with major fish kills include 1976 and 2018. After more than 5 million fish died during a similar event in 1976, the Gila Herald reported that it took five years for the lake’s ecosystem to rebound.

The region is currently in the midst of a multi-year dry period that has left much of the Gila River’s headwaters in New Mexico in a state of severe drought, according to data from the U.S. Drought Monitor.

However, the river’s flow is highly variable, and heavy rains during the coming wet season could help the reservoir recover. A seasonal monsoon outlook released by NOAA in May 2026 projected a 33 to 50 percent chance that an above-average amount of rain would fall in the region that summer. El Niño in the central and eastern equatorial Pacific, which was strengthening in late spring 2026, can make heavy rains in the U.S. Southwest more likely.

NASA Earth Observatory images by Michala Garrison, using Landsat data from the U.S. Geological Survey. Story by Adam Voiland.

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References & Resources

• Arizona Silver Belt (2026, April 23) Low water levels prompt lifted fishing limits at San Carlos Lake. Accessed June 16, 2026.
• Calvin Coolidge Presidential Foundation (2015, March 4) 85 Years of the Coolidge Dam! Accessed June 16, 2026.
• Gila Herald (2026, June 7) San Carlos Lake Closed Indefinitely Following Catastrophic “100% Fish Kill.” Accessed June 16, 2026.
• Natural Resources Conservation Service (2026, April 1) New Mexico Water Supply Outlook Report. Accessed June 16, 2026.
• National Weather Service (2026, May 21) 2026 Arizona Monsoon Outlook. Accessed June 16, 2026.
• National Integrated Drought Information System (2026, June 9) Lower Colorado Region Watershed Drought Information. Accessed June 16, 2026.
• National Weather Service (2026, May 4) Drought Information Statement for Southern NM/Far West TX. Accessed June 16, 2026.
• Pinal Central (2026, June 6) San Carlos Reservoir level very low, but not unprecedented. Accessed June 16, 2026.
• San Carlos Recreation and Wildlife Department (2026, June 5) San Carlos Lake Closure. Accessed June 16, 2026.
• True West (2016, February 1) Will Rogers in Arizona. Accessed June 16, 2026.
• The University of Arizona (2026, May 28) Southwest Climate Outlook. Accessed June 16, 2026.
• U.S. Geological Survey (2026, June 15) San Carlos Reservoir at Coolidge Dam, AZ. Accessed June 16, 2026.
• USA Today (2026, June 9) Massive fish kill forces indefinite closure of Arizona lake. Accessed June 16, 2026.
• Western-Water (2026, June 8) San Carlos Reservoir: Drought kills every fish. Accessed June 16, 2026.

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Beneath the crushing depths of the ocean, autonomous underwater vehicles (AUVs) are our eyes and ears, tirelessly exploring, mapping, and surveying the mysterious realm beneath the waves. Yet, despite their advanced capabilities, these drones face an age-old paradox: the very domes designed to protect their sensitive sonar systems simultaneously distort the sound waves essential for their operation. This distortion, caused by the curved, hydrodynamic enclosures, acts like a warped funhouse mirror that scatters and blurs sonar pulses, severely limiting the drones’ ability to detect distant objects and underwater features with precision. Until recently, addressing this longstanding challenge required complex solutions that were either power-hungry or computationally intense, hampering the mission duration and efficiency of these critical underwater explorers.

Profound innovation has emerged from the laboratories of Shanghai Jiao Tong University, where Prof. Yu Zhang and his research team have invented a groundbreaking solution: a soft, acoustic “contact lens” engineered to counteract the dome-induced aberrations before the sound waves even exit the AUV’s protective shell. This lens is not just a passive accessory but an active sculptor of acoustic waves, reshaping them to restore their integrity and focus. Published in the International Journal of Extreme Manufacturing, their work leverages physics principles rooted in time-reversal acoustics to design a lens that physically corrects the sound wavefront, bypassing the limitations of traditional electronic or algorithmic interventions.

The hydrodynamic domes encasing underwater vehicles are essential for minimizing drag and shielding delicate sonar electronics from relentless exposure to saltwater and pressure. However, these domes distort sonar pulses due to their curved shape, causing sound waves to bend unpredictably and scatter. The scattered returns weaken sonar resolution and increase background noise, transforming once-clear echoes into a confusing murmur. Attempts to solve this typically involve complex signal processing algorithms that aim to reconstruct the lost information or powerful electronic arrays that attempt to reshape the outgoing wavefronts. Yet, these methods either cannot recover lost acoustic energy or demand heavy power consumption, which is incompatible with the constraints of small, battery-operated underwater drones.

Prof. Zhang’s approach is fundamentally different. Instead of relying on electronics or computation after the fact, his team designed a physical lens that preemptively corrects acoustic wave distortions as they propagate through the dome. Utilizing the concept of time-reversal, the researchers measured how the dome distorts acoustic waves and inverted this knowledge to engineer a lens capable of compensating for those distortions. Their solution mixes tungsten particles — known for their high density — into flexible silicone rubber, producing a composite material with precisely tunable acoustic properties. Because sound velocity depends on both density and elastic moduli, adjusting the tungsten concentration allows the lens material to slow or speed up sound locally, much like prescription lenses manipulate light.

This acoustic gradient-index lens (GRIN) is molded into concentric rings, each engineered to delay or advance portions of the sonar pulse. As the sonar sound passes through these rings, its wavefront is transformed from a warped, distorted shape into a perfectly flat and focused beam just as it clears the hydrodynamic dome. This physical reshaping enables the sonar to transmit a tight, highly directive beam instead of a scattered flood, enhancing detection specificity and signal strength. The research team demonstrated that their lens concentrates a broad 65-degree sonar wave into a spotlight ranging between 16 to 30 degrees, significantly sharpening the sonar’s “vision” underwater.

Quantitatively, the acoustic lens boosts the main sonar signal by over 10 decibels across a wide frequency range of 20 to 45 kHz while simultaneously suppressing background reverberation by more than 10 decibels. These figures translate to clearer, sharper echoes that extend the effective detection range and improve resolution. Crucially, this leap in sonar performance comes without drawing any extra power or requiring complex onboard signal processing, preserving the drone’s battery life and reducing system complexity — a true game changer for long-term or remote underwater missions.

Beyond performance, the lens material exhibits remarkable durability in extreme underwater conditions. The silicone-tungsten composite withstands temperature fluctuations and prolonged exposure to saltwater without degradation. This robustness ensures that the acoustic lens can endure the harsh environments characteristic of deep-sea exploration, making it suitable for real-world deployment rather than laboratory proof-of-concept. Moreover, its soft, flexible nature allows it to be custom-molded to varying dome shapes, opening avenues for broad adoption across different AUV platforms.

This discovery signals a paradigm shift in underwater vehicle design. By integrating acoustic correction directly into the vehicle’s protective shell through a low-cost, easily manufactured material, the need for bulky, energy-intensive sonar systems diminishes. As a result, smaller, more affordable underwater drones can achieve sonar performance nearing that of larger, costlier submarines. The implications extend to diverse fields including marine biology, underwater archaeology, and subsea infrastructure inspection, where precise, long-range echo detection is vital.

Looking ahead, the next stage for Prof. Zhang’s team focuses on testing the lens’s performance in open ocean environments to assess its resistance to marine biofouling — the accumulation of microorganisms, plants, algae, or small animals on underwater surfaces — which can compromise acoustic properties over time. Additionally, they are advancing manufacturing techniques towards advanced 3D printing methods that will allow seamless gradient acoustic lenses to be produced with even greater precision, complexity, and scalability.

This technology’s potential impact surpasses marine exploration. The principles underlying this holographic gradient-index lens could revolutionize ultrasound imaging in medicine by refining ultrasonic wave propagation for clearer diagnostic images, or enhance non-destructive testing in industries like aerospace and civil infrastructure through improved ultrasonic signal control. As such, this innovation stands at the intersection of physics, materials science, and engineering, showcasing how fundamental scientific insight can spark transformative technological advances.

The story of the holographic GRIN lens exemplifies how embracing physical wave manipulation offers elegant, energy-efficient alternatives to purely electronic or algorithmic solutions. By rewiring the propagation path of acoustic waves with tailored materials, this breakthrough lays the foundation for smarter, sleeker underwater drones capable of revealing the ocean’s secrets with unprecedented clarity. Through meticulous design, material innovation, and acoustic expertise, Prof. Zhang’s lens turns the dome from an obstacle into an asset — finally granting underwater vehicles the sharp acoustic “vision” they need to navigate and explore the deep blue frontier.

Subject of Research: Acoustic wave correction for underwater vehicle sonar systems using gradient-index lens technology.

Article Title: A holographic GRIN lens for broadband, highly directive, and aberration-free echo detection

News Publication Date: 8-Jun-2026

Web References:

• International Journal of Extreme Manufacturing: https://iopscience.iop.org/journal/2631-7990
• DOI link: http://dx.doi.org/10.1088/2631-7990/ae6b25

Image Credits: By Jinhu Zhang, Sheng Liu, Chen Yang, Nana Zhou, Erqian Dong, Zhenxuan Bu, Wei Zheng, Fei Zhang, Zhongchang Song, and Yu Zhang

Keywords

Underwater acoustics, autonomous underwater vehicles, sonar enhancement, gradient-index (GRIN) lens, acoustic aberration correction, time-reversal acoustics, silicone-tungsten composite, broadband sonar, marine exploration technology, acoustic metamaterials, biofouling resistance, advanced manufacturing

In a groundbreaking development addressing one of modern industry’s most persistent environmental challenges, researchers have unveiled an innovative approach to detoxify hydrazine-contaminated wastewater using advanced organic photovoltaic catalysts (OPCs). This pioneering work marries the fields of sustainable energy and environmental remediation, offering a dual benefit of pollutant degradation and clean hydrogen production, all under the benign influence of sunlight without the input of external energy or sacrificial chemicals.

Hydrazine (N₂H₄), a widely used compound in various industrial applications — from rocket propellants to agricultural chemicals — poses severe environmental and health risks due to its high toxicity and resistance to conventional treatment methods. Current remediation technologies often rely heavily on energy-intensive processes or the addition of chemicals that generate secondary pollution, making a sustainable, efficient, and cost-effective solution a critical unmet need. The recent study introduces narrow-bandgap organic photovoltaic catalysts fine-tuned with donor-acceptor heterojunctions that efficiently harness a broader range of the solar spectrum, extending from visible to near-infrared wavelengths.

The crux of the innovation lies in the OPCs’ ability to excite and separate charge carriers with remarkable efficiency, directly translating solar energy into catalytic activity. By facilitating precise and rapid charge transfer, these catalysts enable degradation of hydrazine molecules in wastewater into harmless end products. Remarkably, this photocatalytic process simultaneously generates hydrogen gas, turning a hazardous byproduct into a valuable clean fuel, thus underscoring the approach’s dual environmental and energy implications.

To enhance the practical viability of these materials, the research team incorporated an ultra-thin coating of alumina (Al₂O₃) on OPC nanoparticles. This coating significantly improves the catalysts’ stability and performance, particularly in complex, real-world wastewater matrices, which often contain a plethora of interfering substances. The Al₂O₃ shell protects the active organic components against photodegradation and chemical fouling, enabling sustained catalytic activity without performance loss over multiple cycles.

Delving deeper, the research utilized a combination of density functional theory (DFT) calculations, in situ spectroscopy, and isotope labeling experiments to unravel the underlying catalytic mechanisms. These investigations revealed that proton-coupled electron transfer is the pivotal step driving hydrazine degradation and hydrogen evolution. This insight not only illuminates the fundamental chemical pathways involved but also informs the strategic design of next-generation catalysts that maximize charge utilization and catalytic turnover.

Under simulated sunlight conditions resembling natural AM 1.5 G, 100 mW cm⁻² illumination, the optimized OPC nanoparticles demonstrated exceptional efficacy by reducing hydrazine concentrations from a hazardous 640 ppm to mere trace amounts in just five hours. This level of remediation meets stringent industrial and agricultural discharge standards, marking a significant milestone in wastewater treatment technology. Additionally, the system achieved mass-normalized hydrogen evolution rates as high as 559.3 ± 28.0 mmol h⁻¹ g⁻¹, concurrently producing hydrogen at a scale that could contribute meaningfully to clean energy portfolios.

One of the most compelling features of this work is the catalyst’s recyclability and the absence of any secondary pollution generation. Unlike conventional treatment methods that often result in toxic sludge or require periodic regeneration with hazardous chemicals, the OPCs maintained high activity across multiple uses without discharging any secondary contaminants. This aspect fundamentally redefines the sustainability paradigm for toxic wastewater treatment.

The organic photovoltaic catalysts’ narrow bandgap is a critical enabler of their success. Conventional photocatalysts like titanium dioxide primarily absorb ultraviolet light, which constitutes only a small fraction of solar radiation. By contrast, the OPCs’ tailored bandgap allows efficient absorption of visible and near-infrared light, which make up the majority of the solar spectrum. This increase in solar energy utilization translates directly to enhanced catalytic performance, positioning these materials well ahead of traditional alternatives in terms of solar-to-chemical conversion efficiency.

The donor-acceptor heterojunction architecture engineered in the OPCs plays a central role in overcoming charge recombination issues plaguing many organic materials. By spatially separating electron and hole carriers, these heterojunctions extend carrier lifetimes and facilitate their transfer to reaction sites on the catalyst surface. This strategy drastically improves the quantum efficiency of the photocatalytic process, ensuring more hydrazine molecules are converted per photon absorbed.

Complex industrial wastewaters often contain diverse ionic species, organic contaminants, and fluctuating pH, posing significant challenges to photocatalyst stability. The introduction of the Al₂O₃ shell effectively buffers OPCs against such harsh chemical environments, offering a protective barrier while allowing substrate molecules to access active sites. This protective strategy exemplifies a clever marriage of materials science and catalysis design principles for real-world applicability.

From a mechanistic viewpoint, the proton-coupled electron transfer (PCET) mechanism elucidated by the study provides valuable insights into the synergy between charge carriers and hydrogen ions in driving hydrazine decomposition. This mechanistic clarity opens avenues for rational catalyst tuning, potentially enabling tailored systems for the breakdown of other recalcitrant pollutants beyond hydrazine, thus broadening the technology’s impact.

The dual function of hydrazine degradation coupled with hydrogen evolution not only abates environmental hazards but also tackles energy sustainability by producing a clean, renewable fuel. This convergence of waste remediation and green energy generation is especially significant amidst global efforts to decarbonize industrial processes and promote circular economy principles.

Furthermore, the study demonstrates that the system operates without any external power input, relying solely on passive sunlight, making it exceptionally attractive for applications in remote or off-grid locations. The absence of sacrificial reagents further simplifies operation, reduces operational costs, and eliminates sources of secondary pollution, highly desirable attributes for scalable industrial deployment.

The mass and area-normalized hydrogen evolution rates reported represent a benchmark in the field of photocatalytic wastewater treatment, underscoring the potency and commercial promise of these organic photovoltaic catalysts. Importantly, their synthetic procedures and materials composition suggest compatibility with scalable manufacturing methods, bolstering their potential for rapid translation from laboratory to practice.

In summary, this innovative approach combines advances in organic photovoltaics, surface chemistry, and catalysis to deliver a paradigm shift in the treatment of hydrazine wastewater alongside clean energy production. The research sets a new standard for sustainable, efficient, and highly effective remediation technologies, aligning closely with urgent needs in industrial pollution control and the global hydrogen economy.

As industries worldwide grapple with environmental regulations and increasing demands for sustainability, the emergence of such multifunctional catalytic systems heralds a new era in wastewater treatment. With further refinements and scaling efforts, this technology is poised to transform hazardous waste management and bolster renewable energy initiatives concurrently, illustrating the power of interdisciplinary science in solving complex societal challenges.

This landmark study paves the way for future explorations into organic photovoltaic catalyst systems tailored to diverse environmental contaminants and integrated into smart treatment modules. The ability to couple sunlight-driven pollutant degradation with valuable fuel generation may well inspire a suite of next-generation sustainable technologies tailored for the demands of the 21st century.

Subject of Research:
Advanced photocatalytic treatment of hydrazine-contaminated wastewater using organic photovoltaic catalysts for simultaneous environmental remediation and hydrogen production.

Article Title:
Solar remediation of hydrazine wastewater using efficient narrow-bandgap organic photovoltaic catalysts.

Article References:
Wu, Y., Lee, Y., Zhang, Z. et al. Solar remediation of hydrazine wastewater using efficient narrow-bandgap organic photovoltaic catalysts. Nat Water (2026). https://doi.org/10.1038/s44221-026-00666-1

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s44221-026-00666-1