Earth

Ice recovered from high tropical mountains has provided scientists with valuable information about Earth’s past climate changes. Through a study led by scientists at The Ohio State University, it was discovered that oxygen-stable isotope records stored in tropical mountain glacier ice cores can offer a distinct paleoclimate history of the middle and upper troposphere. By
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When it comes to volcanic hazard assessment, understanding the behavior of dormant volcanoes is of utmost importance. The ability of a volcano to erupt after tens of thousands of years of dormancy raises critical questions and can pose a previously unrecognized threat to its surrounding areas. A recent study conducted by Hungarian scientists sheds light
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A team of scientists, led by Dr. Xin Liu from The University of Hong Kong, has recently introduced a groundbreaking method called ambient noise differential adjoint tomography. This method allows researchers to visualize rocks with fluids, potentially leading to advancements in the discovery of water and oil resources. The findings of this study have been
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A recent study suggests that understanding how mountains influence the precipitation change induced by El Niño and La Niña could greatly improve water conservation planning along the Colorado River in western North America. By analyzing 150 years of rain and snow data and comparing it with historic El Niño-Southern Oscillation (ENSO) patterns, researchers were able
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Arizona’s scorching summer heat this year shattered records and shed light on the dire consequences of rising temperatures. From widespread power outages to a rise in heat-related deaths among vulnerable communities, the city of Phoenix became a national headline. The question on everyone’s mind was simple: How do people survive in such extreme conditions? However,
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In a groundbreaking study, researchers from the University of Oxford and Trillium Technologies’ NIO.space have collaborated to develop an innovative tool that can automatically detect methane plumes on Earth. By utilizing machine learning techniques with hyperspectral data, this tool aims to identify and address excessive “super emitters” of methane. The implications of this research are
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