Stanford researchers have identified a crucial missing element in Antarctic ice movement using machine learning and satellite data.
The research published in Science challenges existing climate models and may change predictions for global sea-level rise. The Antarctic ice sheet, the largest frozen reservoir on Earth, holds enough water to raise sea levels by 190 feet if completely melted.
Accurate predictions of ice movement and melting are crucial for forecasting climate impacts, but current models struggle with ice flow dynamics, causing uncertainties in sea-level projections.
Researchers at Stanford University tackled Antarctic ice movement by using AI-driven deep learning on satellite and radar data from 2007 to 2018. Their approach, which combined real-world observations with fundamental physics, revealed overlooked processes affecting ice shifts and uncovered significant flaws in existing models of ice movement.
The study shows that ice shelves, which act as buffers for glaciers, do not exhibit uniform behavior. While the ice near the continent remains compressed, 95% of the ice shelf area is not.
This discovery suggests that climate models may underestimate ice sheet vulnerability and collapse risks, impacting future sea-level rise predictions. Scientists are working to better predict glacier retreat and calving events to enhance understanding of Antarctica’s role in climate change.
These findings have important implications. Global sea-level models often assume ice properties are constant, but the study reveals that ice is more fragile than previously believed.
This suggests Antarctica could be losing ice faster than expected, emphasizing the need to improve climate predictions.
Researchers are expanding their dataset to identify the factors behind anisotropic behavior, aiming to improve predictions of ice breakage, calving events, and glacier retreats.
This work also highlights the growing role of artificial intelligence in Earth sciences. Combining machine learning with established physical laws helps reveal patterns that traditional methods may miss.
Matthew 24:37 But as the days of Noah were, so shall also the coming of the Son of man be.
Matthew 24:38 For as in the days that were before the flood they were eating and drinking, marrying and giving in marriage, until the day that Noe entered into the ark,
Matthew 24:39 And knew not until the flood came, and took them all away; so shall also the coming of the Son of man be.
Luke 21:11 And great earthquakes shall be in divers places, and famines, and diseases; and fearful sights and great signs shall there be from heaven.
Luke 21:25 And there shall be signs in the sun, and in the moon, and in the stars; and upon the earth distress of nations, with perplexity; the sea and the waves roaring;
Luke 21:28 And when these things begin to come to pass, then look up, and lift up your heads; for your redemption draweth nigh.
Read more at: Arctic Sea Ice is at its Second Lowest on Record
Read more at: The Arctic will soon see more rain than snow (transformedbythetruth.com)
Read more at: Carbon Emissions Cuts will not stop Antarctica being Doomed (transformedbythetruth.com)
Read more at: Like the Days of Noah and Sodom time: Warnings for Today (transformedbythetruth.com)
Read more at: If the righteous are barely saved, what will happen to the sinners in the end? (transformedbythetruth.com)
Read more at: https://www.transformedbythetruth.com/watch-that-you-may-be-accounted-worthy-to-escape-the-end/
Read more at: Australia’s Great Barrier Reef is experiencing its sixth massive bleaching (transformedbythetruth.com)
Read more at: The Amazon rainforest experienced its worst drought on record in 2023 (transformedbythetruth.com)
Click here to read more articles transformedbythetruth.com