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Page 46 - கிங் அப்துல்லா பல்கலைக்கழகம் ஆஃப் அறிவியல் News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Climate Change Is Flooding The Arctic With Light – And

Climate Change is Flooding the Arctic with Light – and New Species © Sascha / Adobe Stock At just over 14 million square kilometers, the Arctic Ocean is the smallest and shallowest of the world’s oceans. It is also the coldest. An expansive raft of sea ice floats near its center, expanding in the long, cold, dark winter, and contracting in the summer, as the Sun climbs higher in the sky. Every year, usually in September, the sea ice cover shrinks to its lowest level. The tally in 2020 was a meagre 3.74 million square kilometers, the second-smallest measurement in 42 years, and roughly half of what it was in 1980. Each year, as the climate warms, the Arctic is holding onto less and less ice.

The Weather Network - Climate change is flooding the Arctic with light – and new species

Climate change is flooding the Arctic with light – and new species In partnership with Saturday, December 12th 2020, 6:20 pm - Increased human activity will have a major impact in the Arctic s various species in the coming decades. At just over 14 million square kilometres, the Arctic Ocean is the smallest and shallowest of the world’s oceans. It is also the coldest. An expansive raft of sea ice floats near its centre, expanding in the long, cold, dark winter, and contracting in the summer, as the Sun climbs higher in the sky. Every year, usually in September, the sea ice cover shrinks to its lowest level. The tally in 2020 was a meagre 3.74 million square kilometres, the second-smallest measurement in 42 years, and roughly half of what it was in 1980. Each year, as the climate warms, the Arctic is holding onto less and less ice.

Environmental News Network - Modeling the Neighborhood Boosts Landslide Prediction

Modeling the Neighborhood Boosts Landslide Prediction Details 10 December 2020 Share This A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems. An effective hazard warning system aims to predict the time, place, size and frequency of landslides, yet there are multiple complex and often random input factors to consider. Researchers have developed a computer model that improves on existing prediction accuracy and enhances understanding of the complexities inherent in landslide events. “Existing landslide models work from a premise where each slope in an area is assigned a value of zero or one the slope is either stable or unstable,” says former KAUST postdoc, Luigi Lombardo, now at the University of Twente in the Netherlands. This project builds on previous landslide models developed by Lombardo, continuing his collaboration with Raphaël Huser and the t

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