Breaking Update: Here’s a clear explanation of the latest developments related to Breaking News:Climate Change Slows Earth’s Spin, Lengthens Days– What Just Happened and why it matters right now.
An exact 24-hour day is not a given – day length changes due to gravitational effects of the Moon, as well as various geophysical processes acting within the Earth’s interior, at its surface, and in the atmosphere. Today’s climate change also affects day length: prior work showed that from 2000 to 2020 our days lengthened by a rate equivalent to 1.33 milliseconds per century due to climate-related factors, especially the continental-ocean mass redistribution due to the melting of polar ice sheets and mountain glaciers.
In a new study, now appearing in the Journal of Geophysical Research: Solid Earth, Mostafa Kiani Shahvandi (University of Vienna) and Benedikt Soja (ETH Zurich) demonstrate that this rapid rise in day length is unparalleled over the last 3.6 million years.
Earth as a figure skater
“In our earlier work, we showed that the accelerated melting of polar ice sheets and mountain glaciers in the 21st century is raising sea levels, which slows Earth’s rotation and therefore lengthens the day – similar to a figure skater who spins more slowly once they stretch their arms, and more rapidly once they keep their hands close to their body,” explains Mostafa Kiani Shahvandi of the University of Vienna’s Department of Meteorology and Geophysics. “What remained unclear was whether there were earlier periods when climate increased day length at a similarly rapid pace.”
Foraminifera as sea-level and day-time indicators
To answer this question, the researchers used the fossilized remains of single-celled marine organisms known as benthic foraminifera. “From the chemical composition of the foraminifera fossils, we can infer sea-level fluctuations and then mathematically derive the corresponding changes in day length,” says first author Kiani Shahvandi from the University of Vienna. To draw more robust conclusions, the team employed a probabilistic deep learning algorithm – a physics-informed diffusion model: “This model captures the physics of sea-level change, while remaining robust to the large uncertainties inherent in paleoclimate data,” adds the climate scientist and geophysicist.