The study used satellite data to map freshwater trends across the globe between 2002 and 2025. Thanks to a high-resolution rendering method, researchers revealed regional gains and reductions in terrestrial water storage that were 33% more marked, on average, than in previous studies. The amount of fresh water lost was much higher than the gains overall, highlighting the urgent need for better water management to stave off a global water crisis.

"It has become very dire in a lot of places," Hrishikesh Chandanpurkar, a hydrologist and the co-founder of the nonprofit Evergreen Resilience Institute, who was not involved in the study, told Live Science.

The study also attributed the changes in freshwater storage to different human and climate drivers, said first author Mary Michael Forrester O'Neill, a researcher at the University of Maryland's Earth System Science Interdisciplinary Center and the Hydrological Sciences Laboratory at NASA's Goddard Space Flight Center.

"Earlier studies could see broad patterns of long-term freshwater loss or gain but couldn't reliably tell how much was due to human activity versus climate swings, in part due to resolution limitations," Forrester O'Neill told Live Science in an email. "This study sharpened the picture and used geostatistical methods to rank the impacts of human causes, like irrigation and dam building, against climate factors, like rainfall and drought."

The researchers found 94 regions with above-background shifts in freshwater storage, 40 of which were influenced mainly by human land or water use, rather than climate variability and global warming. The team then focused on these 40 hotspots to pinpoint exactly where people can act to conserve water.

"Water managers and downstream communities need to know which aquifer, reservoir, or irrigation district is responsible for a given trend in large-scale freshwater storage, not just that 'somewhere in this country, water is being lost,'" Forrester O'Neill explained.

Freshwater gains in 22 regions were due to rain-fed agriculture, irrigation with surface water, reservoir impoundment and deforestation, which decreases evapotranspiration and plants' groundwater consumption, according to the study. In contrast, freshwater losses in the remaining 18 hotspots were caused by irrigation with groundwater and the construction of canals, diversions and other water infrastructure.

The findings, published Sept. 14 in the journal PNAS, show that human water use is a significant driver of water storage changes on every continent except Australia and Antarctica, where climate factors are more influential, O'Neill said. Local freshwater gains and losses may cut freshwater availability downstream or in the surrounding region, she and her colleagues noted in the study.

One example of a region that gained fresh water in the study is the area of central Russia that hosts the Boguchany Reservoir, a giant artificial lake that was filled in 2012 after the construction of a hydroelectric dam. And three stark examples of places that lost fresh water are northern India, southern Iran and the southern High Plains (a region at the intersection of Colorado, Kansas, New Mexico, Oklahoma and Texas), because these regions host major breadbaskets that tap aquifers for irrigation, O'Neill said.

The results are concerning because the places with the worst groundwater depletion overlap with areas that irrigate crops unsustainably, O'Neill said. Previous research shows that critical food-producing regions ‪—‬ such as the U.S. High Plains, California's Central Valley, northern India, Pakistan, North China and the Fertile Crescent ‪—‬ consistently overuse groundwater. "Within these regions, we found the pace of depletion is considerably more severe than earlier estimates suggested, reinforcing food security concerns," she said.

One of the novelties of the paper is its very high resolution, said Chandanpurkar, who last year led a study describing "mega-drying" regions across the world and co-authored a report on continental drying. The new study used data from NASA's Gravity Recovery and Climate Experiment (GRACE) mission and its Follow-On successor (GRACE-FO), which have measured subtle redistributions of mass on Earth. But unlike previous studies, the new research resolved the data in high resolution, he said, like correcting blurry vision with glasses.

"This is not a brand-new method, but it's the first time they're applying it to these regional hotspots and then trying to figure out what they mean," Chandanpurkar said.

Scientists already knew that groundwater depletion and other human water uses are "quite staggering," and this study is a reminder that continental drying is "a very big deal," Chandanpurkar said. "Water is really undervalued," he said. "Giving it its proper dues would be essential for this [freshwater loss] to really be acknowledged by leaders and economists."

It's impossible to say exactly how many years or decades humans can go on consuming this much fresh water before it runs out, partly because the climate can be unpredictable and partly because it's hard to tell how much water remains in Earth's reservoirs, Forrester O'Neill said.

"GRACE satellites measure the rate of change in water mass, not the total volume stored in an aquifer, so we have no independent basis for estimating time to depletion or a timeline for systems to collapse," she said.

However, there will come a point when the cost of pumping groundwater, for example, will be too high to pay in some regions. Water table declines of just a dozen feet (a few meters) or so can cause a substantial share of wells to run dry, research shows, and the expense of drilling deeper will affect at-risk communities most of all, Forrester O'Neill said.

"We are most concerned about the rising cost and inequity of continuing to reach water that keeps retreating deeper underground, paired with strain on existing surface water resources," she said. "Of course, water-scarce regions exhibiting acute groundwater depletion are at risk, like Iran, Saudi Arabia, Syria, Türkiye, Iraq, and Libya. Another one to keep an eye on would be Mexico, simply because of the documented, progressively increasing well depth paired with the observed terrestrial water storage loss."

'> 'It has become very dire in a lot of places': New map reveals exactly where humans are adding and removing precious fresh water on Earth AlphaGenome Atlas, which contains data on 9 billion possible changes to the human genetic code and estimates how these changes will affect different tissues and cellular processes. What's more, the tool spits out a simple score to help scientists quickly weigh the knock-on impacts of these changes.

How a sequence of 3 billion or so letters of chemical code is packaged, delivered and read to create a human life is a major question in genetics research. Last year, DeepMind announced a tool that could propel researchers toward an answer. The tool, called AlphaGenome, predicts how changes to a DNA sequence alter proteins, cells and, ultimately, the human experience.

Now, one year later, DeepMind has released AlphaGenome Atlas, which the tech giant hopes will make AlphaGenome accessible to more researchers.

"It looks like a great resource," Greg Findlay, a group leader at the Francis Crick Institute in London who isn't involved with AlphaGenome Atlas, told Live Science. However, other experts said that, although the tool is a step forward, it still can't answer all of the big questions in genetics.

"It's not this holy grail," Tuuli Lappalainen, a professor in genomics at KTH Royal Institute of Technology in Stockholm and a senior associate faculty member at the New York Genome Center who isn’t involved with AlphaGenome Atlas, told Live Science.

Reading the future of genetic variants

Lappalainen's lab has been using AlphaGenome to study the effects of variation in genomes over the past year. She pointed out that this technology is not new. However, according to Google DeepMind, AlphaGenome outperforms previous models in the resolution at which it can predict the impact of changes to the genome. Around 98% of our DNA is noncoding, meaning cellular machinery doesn't directly read it to make the proteins that keep our cells functioning.

Geneticists now appreciate that this code, once thought to be "junk" DNA, is instead needed to manage how and when to read the parts of the genome that do encode our molecular building blocks, or coding genes. However, evolution hasn't produced an ordered genome. Instead, some regulatory instructions are distributed widely throughout the code.

AlphaGenome allowed researchers to explore how changes in a single pair of DNA "letters" could influence up to 1 million pairs of surrounding code ‪—‬ a far greater spread than previous models were capable of and one that captured much of each gene's regulatory network.

But this power came at a price. Until the release of Atlas, AlphaGenome required users to have enough bioinformatics experience to access and use the models' automated programming interface ‪—‬ an area of expertise not all geneticists have. What's more, calculating the effects of each change was a strenuous workout for academics’ computing resources.

To create AlphaGenome Atlas, DeepMind researchers computed every possible base ("letter") change and made the resulting data ‪—‬ totaling 1 petabyte, or 1 million gigabytes, of information ‪—‬ freely available. This takes the load off academics' overworked personal computers. What's more, the technology is now wrapped up in an easy-to-access, user-friendly web portal.

"You really do not need to be an expert in these methods to be able to go there and look something up in a browser," Lappalainen said.

Another simplification is the AlphaGenome Variant Impact score, a metric that predicts how much biological effect a change will have. In an accompanying preprint paper, DeepMind showed that the score could separate disease-linked mutations from harmless ones in a clinical dataset. While the score's simplicity might make it harder to interpret in certain cases, Lappalainen said, it would be useful for researchers who want to investigate a list of gene variants.

Clouds in the crystal ball?

The tool still isn't a perfect predictor, however. A Sept. 11 preprint study from a research team led by Katie Pollard, director of the Gladstone Institute of Data Science and Biotechnology and a professor at the University of California, San Francisco, suggested that while AlphaGenome was adept at finding causal mutations, it persistently underestimated their impact.

Pollard's team found that the model couldn't always link changes in regulatory elements to the genes they controlled, especially when they were not close together on the genome. "My perhaps naive hope would be that people take these predictions with an appropriate grain of salt," Lappalainen said.

Despite these limitations, Lappalainen said advances like AlphaGenome Atlas are part of a wider move toward more collaborative, data-led genomics. But she warned that the field would need to give equal focus to "wet-lab" experiments, which work out the accuracy of variant predictions.

Although these tests are tedious and consume much more time than a search on AlphaGenome Atlas' interface, she said, they are essential for generating the data that AI models need to improve their predictions.

"We're still very much data-limited in biology, and that data needs to be created," Lappalainen said.

'> Google DeepMind's latest AI tool promises a new era for genetics research, but experts warn to take its predictions with caution statement from the Egyptian Ministry of Tourism and Antiquities.

The fort, which was found at the archaeological site of Abqaa' in Egypt's Lake District, dates to the New Kingdom period (circa 1550 to 1070 B.C.) and was used to guard against hostile Libyan tribes to the west. Among the finds from the fort excavation was a tablet depicting a Libyan prisoner whose clothing signifies his membership in the Meshwesh tribe, a group that Egypt was often in conflict with.

The prisoner is shown with his hands bound behind his bent body, a posture that signifies his submission, the statement noted.

A hieroglyphic tablet with the name of pharaoh Ramesses II was also found; he reigned from about 1279 to 1213 B.C. A second tablet included the name of the pharaoh Merneptah, who reigned from about 1213 to 1203 B.C., and compared his strength to that of Seth, an ancient Egyptian god associated with the desert and storms.

"An amazing find"

The horse burial is a unique discovery, scholars not associated with the excavation told Live Science.

"It is an amazing find, simply because we have so few horse remains from Pharaonic Egypt," especially complete skeletons, Lonneke Delpeut, a researcher at the University of Vienna who has conducted extensive research into ancient Egyptian horses, told Live Science in an email.

Archaeologists have found the remains of horse stables, such as those at the ancient Egyptian capital of Pi-Ramesses, but horse remains have been scarce, Delpeut said. "This horse will therefore surely contribute to what we know about the use of horses in military forts, of which there are many in the region."

But Delpeut cautioned against definitively calling it a war horse, "mainly because we do not have a definition of what a war horse is in ancient Egypt," she said. "It was certainly a chariot horse. Horses revolutionised mobility and warfare in ancient Egypt, so this horse was without a doubt a valuable animal, reflected by its careful burial."

Carolyn Willekes, an expert on ancient horses at Mount Royal University in Calgary, Canada, told Live Science in an email that the discovery is exciting. "Well-preserved horse remains have the potential to provide important information about the life of that individual horse," she said. The "fact that this appears to be an intentional horse burial also gives tantalizing hints about the equine-human relationship in ancient Egypt and the cultural importance of the horse," Willekes said.

An archaeological team from the Egyptian Ministry of Tourism and Antiquities made the discovery. Live Science contacted the team for comment but had not heard back at time of publication.

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'> 3,000-year-old burial of ancient Egyptian horse found — and a nearby stone carving depicts a captured prisoner