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News about Climate Change and our Planet

machine learning

Tool that more efficiently analyzes ocean color data will become part of NASA program

(Stevens Institute of Technology) Researchers at Stevens Institute of Technology have developed a new machine learning-powered platform, known as OC-SMART, that can process ocean color in satellite images 10 times faster than the world’s leading platform. The work, which will be adopted by NASA, is one of the first machine learning-based platforms in ocean color analysis that can process both coastal and open ocean regions globally to reveal data on sea health and the impact of climate change.

New machine learning theory raises questions about nature of science

(DOE/Princeton Plasma Physics Laboratory) A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better predict and control the behavior of the plasma that fuels fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars.

How do electrons close to Earth reach almost the speed of light?

(GFZ GeoForschungsZentrum Potsdam, Helmholtz Centre) In the Van Allen radiation belts, electrons can reach almost speed of light. Hayley Allison and Yuri Shprits, German Research Centre for Geosciences, have revealed conditions for such strong accelerations. They had demonstrated in 2020: during solar storm plasma waves play a crucial role. However, it remained unclear why ultra-relativistic electron energies are not achieved in all solar storms. In Science Advances they now show: extreme depletions of the background plasma density are crucial.

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Summer weather conditions influence winter survival of honey bees

Winter survival of honey bee colonies is strongly influenced by summer temperatures and precipitation in the prior year, according to researchers, who said their findings suggest that honey bees have a ‘goldilocks’ preferred range of summer conditions outside of which their probability of surviving the winter falls.

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New NCAR-Wyoming supercomputer to accelerate scientific discovery

(National Center for Atmospheric Research/University Corporation for Atmospheric Research) NCAR’s new 19.87-petaflops system will help scientists conduct research to better understand a range of phenomena that affect society, from the behavior of major wildfires to eruptions of solar storms that can threaten GPS and other sensitive technologies. It will begin operations early next year.

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AI trained to read electric vehicle charging station reviews to find infrastructure gaps

Although electric vehicles that reduce greenhouse gas emissions attract many drivers, the lack of confidence in charging services deters others. Building a reliable network of charging stations is difficult in part because it’s challenging to aggregate data from independent station operators. But now, researchers have developed an AI that can analyze user reviews of these stations, allowing it to accurately identify places where there are insufficient or out-of-service stations.

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AI trained to read electric vehicle charging station reviews to find infrastructure gaps

Although electric vehicles that reduce greenhouse gas emissions attract many drivers, the lack of confidence in charging services deters others. Building a reliable network of charging stations is difficult in part because it’s challenging to aggregate data from independent station operators. But now, researchers have developed an AI that can analyze user reviews of these stations, allowing it to accurately identify places where there are insufficient or out-of-service stations.

Stanford: forecasting coastal water quality

(Stanford University) Using water samples and environmental data gathered over 48 hours or less, Stanford engineers develop a new predictive technique for forecasting coastal water quality, a critical step in protecting public health and the ocean economy.