Core Insights - An international research team has developed a machine learning-based equation to quantify glacier erosion rates, estimating the erosion rates of over 180,000 glaciers globally [1][2] - The study indicates that 99% of glacier erosion rates fall between 0.02 mm and 2.68 mm per year, with the majority of modern glaciers' erosion rates estimated [1] - The research highlights that glacier movement speed is not the most critical factor in predicting erosion rates; a combination of glaciology, geomorphology, and geological factors provides a more accurate prediction [1][2] Group 1 - The study utilized machine learning to analyze the erosion rates of 181 modern glaciers, leading to the creation of equations applicable to various environmental types [1] - The research was published in the journal Nature Geoscience, indicating a significant advancement in understanding glacier dynamics [1] - The findings suggest that the conditions leading to glacier base erosion are more complex than previously thought, influenced by multiple variables [2] Group 2 - Key variables affecting erosion rates include temperature, water volume beneath glaciers, rock types in the area, and geothermal heat [2] - Understanding these factors is crucial for landscape management and monitoring global sediment and nutrient movement [2]