New research utilizing radar data from space has revealed alarming insights about the Thwaites Glacier in West Antarctica, commonly known as the “Doomsday Glacier.” This study, published in the Proceedings of the National Academy of Sciences, highlights a significant increase in the vulnerability of the glacier, as ocean water is found to be pushing miles …
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A recent study highlights the severe Amazon rainforest drought impact, showing that over a third of the Amazon is struggling to recover from persistent drought conditions. This research, detailed in the Proceedings of the National Academy of Sciences, underscores a critical slowing down of the forest’s resilience, pushing it towards a potential irreversible degradation. The …
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In August 2021, an unprecedented event occurred at the Greenland ice cap’s summit, where rain caused significant melting and retreat of the snowline, highlighting the growing frequency and impact of Arctic rain-on-snow events. This event prompted Joel Harper, a glaciologist at the University of Montana, to revisit earlier anomalies in his data from 2008, confirming …
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Last weekend’s skies lit up with a stunning display of the aurora borealis, visible as far south as Alabama, thanks to a powerful coronal mass ejection. This celestial phenomenon, typically confined to polar regions, underscores the dramatic effects that solar activities can have on Earth. Coronal mass ejections are not only beautiful but also bear …
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Netflora, developed by Embrapa, represents a significant advancement in forest management through the use of artificial intelligence (AI). This methodology utilizes a set of algorithms specifically trained to enhance AI forest species identification.
The Climate Change Adaptation Digital Twin (Climate DT) developed under the Destination Earth initiative (DestinE) of the European Commission represents a significant advancement in creating detailed, operational, and interactive capabilities for climate projections with local granularity.
Computer vision for climate change has emerged as a pivotal approach in addressing the challenges posed by environmental shifts. Traditionally, artificial intelligence (AI) techniques were underutilized in climate research. However, there is now a widespread acknowledgment of AI’s potential in mitigating and adapting to climate change.
A recent analysis of cloud data from the California coast, along with global satellite observations, highlights the significant role of aerosol particles as small as 25–30 nanometers in cloud formation. This challenges previous assumptions and suggests that the climate impact of tiny aerosols may have been underestimated.
