After lightning struck a tree in New Port Richey, Florida, a team of scientists from the University of South Florida (USF) discovered that this strike led to the formation of a new phosphorous material in a rock. This is the first time such a material has been found in solid form on Earth and could represent a member of a new mineral group.
“We have never seen this material occur naturally on Earth – minerals similar to it can be found in meteorites and space, but we’ve never seen this exact material anywhere,” said study lead author Matthew Pasek, a geoscientist at USF.
According to the researchers, high-energy events such as lightning can sometimes cause unique chemical reactions which, in this particular case, have led to the formation of a new material that seems to be transitional between space minerals and minerals found on Earth.
While a pandemic unleashed by a disease from the distant past sounds like the plot of a sci-fi movie, scientists warn that the risks, though low, are underappreciated. Chemical and radioactive waste that dates back to the Cold War, which has the potential to harm wildlife and disrupt ecosystems, may also be released during thaws.
Permafrost covers a fifth of the Northern Hemisphere, having underpinned the Arctic tundra and boreal forests of Alaska, Canada and Russia for millennia. It serves as a kind of time capsule, preserving — in addition to ancient viruses — the mummified remains of a number of extinct animals that scientist have been able to unearth and study in recent years, including two cave lion cubs and a woolly rhino.
Warmer temperatures in the Arctic are thawing the region’s permafrost — a frozen layer of soil beneath the ground — and potentially stirring viruses that, after lying dormant for tens of thousands of years, could endanger animal and human health.
“There’s a lot going on with the permafrost that is of concern, and (it) really shows why it’s super important that we keep as much of the permafrost frozen as possible,” said Kimberley Miner, a climate scientist at the NASA Jet Propulsion Laboratory at the California Institute of Technology in Pasadena, California.
On VPRO broadcast you will find nonfiction videos with English subtitles, French subtitles and Spanish subtitles, such as documentaries, short interviews and documentary series. VPRO Documentary publishes one new subtitled documentary about current affairs, finance, sustainability, climate change or politics every week. We research subjects like politics, world economy, society and science with experts and try to grasp the essence of prominent trends and developments.
The Climate Foundation’s SeaForestation project has won a Milestone XPRIZE for carbon removal, from Elon Musk’s foundation.
According to the prize’s official site, the competition “is aimed at tackling the biggest threat facing humanity — fighting climate change and rebalancing Earth’s carbon cycle”.
Remarkably, the storm has rapidly intensified six times.
Rapid intensification describes an uptick in winds of 35 mph or greater in 24 hours. Research has shown rapid intensification increasing in frequency in many ocean basins because of rising ocean temperatures linked to human-caused climate change.
One of the oldest tools in computational physics — a 200-year-old mathematical technique known as Fourier analysis — can reveal crucial information about how a form of artificial intelligence called a deep neural network learns to perform tasks involving complex physics like climate and turbulence modeling, according to a new study.
The discovery by mechanical engineering researchers at Rice University is described in an open-access study published in the journal PNAS Nexus, a sister publication of the Proceedings of the National Academy of Sciences.
“This is the first rigorous framework to explain and guide the use of deep neural networks for complex dynamical systems such as climate,” said study corresponding author Pedram Hassanzadeh. “It could substantially accelerate the use of scientific deep learning in climate science, and lead to much more reliable climate change projections.”
Studying Our Ocean’s History To Understanding Its Future — Dr. Emily Osborne, PhD, Ocean Chemistry & Ecosystems Division, National Oceanic and Atmospheric Administration (NOAA)
Dr Emily Osborne, Ph.D. (https://www.aoml.noaa.gov/people/emily-osborne/) is a Research Scientist, in the Ocean Chemistry and Ecosystems Division, at the Atlantic Oceanographic and Meteorological Laboratory.
The Atlantic Oceanographic and Meteorological Laboratory (AOML), a federal research laboratory, is part of the National Oceanic and Atmospheric Administration’s (NOAA) Office of Oceanic and Atmospheric Research (OAR), located in Miami in the United States. AOML’s research spans tropical cyclone and hurricanes, coastal ecosystems, oceans and human health, climate studies, global carbon systems, and ocean observations. It is one of ten NOAA Research Laboratories.
With a B.S. in Geology from the College of Charleston and a Ph.D. in Marine Science from University of South Carolina, Dr. Osborne is currently involved in investigating regional and global biogeochemical issues related to ocean health and climate through the use of a combination of paleoceanographic approaches, new autonomous sensors, and conventional measurements on large multi-disciplinary oceanographic cruises.
Paleoceanography is the study of the history of the oceans in the geologic past with regard to circulation, chemistry, biology, geology and patterns of sedimentation and biological productivity. Paleoceanographic studies using environment models and different proxies enable the scientific community to assess the role of the oceanic processes in the global climate by the re-construction of past climate at various intervals.
This process of harvesting energy from rain is new.
Researchers in Italy have engineered an artificial leaf that can be embedded within plants to create electricity from raindrops or wind. It functions extremely well under rainy or windy conditions to light up LED lights and power itself, according to a report by IEEE Spectrum.
Fabian Meder, a researcher studying bioinspired soft robotics at the Italian Institute of Technology (IIT) in Genoa, Italy, told the science news outlet that the system could be practical for agricultural applications and remote environmental monitoring in order to observe plant health or monitor climate conditions.
Coldsnowstorm/iStock.
It functions extremely well under rainy or windy conditions to light up LED lights and power itself, according to a report by IEEE Spectrum published on Wednesday.
Social insects like bees demonstrate a remarkable range of behaviors, from working together to build structurally complex nests (complete with built-in climate control) to the pragmatic division of labor within their communities. Biologists have traditionally viewed these behaviors as pre-programmed responses that evolved over generations in response to external factors. But two papers last week reported results indicating that social learning might also play a role.
The first, published in the journal PLoS Biology, demonstrated that bumblebees could learn to solve simple puzzles by watching more experienced peers. The second, published in the journal Science, reported evidence for similar social learning in how honeybees learn to perform their trademark “waggle dance” to tell other bees in their colony where to find food or other resources. Taken together, both studies add to a growing body of evidence of a kind of “culture” among social insects like bees.
“Culture can be broadly defined as behaviors that are acquired through social learning and are maintained in a population over time, and essentially serves as a ‘second form of inheritance,’ but most studies have been conducted on species with relatively large brains: primates, cetaceans, and passerine birds,” said co-author Alice Bridges, a graduate student at Queen Mary University of London who works in the lab of co-author Lars Chittka. “I wanted to study bumblebees in particular because they are perfect models for social learning experiments. They have previously been shown to be able to learn really complex, novel, non-natural behaviors such as string-pulling both individually and socially.”
