A pendulum-based system allows energy to be extracted from ocean currents
Peer-Reviewed Publication
This June, we’re turning our attention to the ocean in honor of World Ocean Day on June 8. Covering more than 70% of our planet, the ocean is full of discovery, wonder, and life. Join us as we explore the science behind marine ecosystems and the important role oceans play in shaping our world.
Updates every hour. Last Updated: 21-Jun-2026 12:16 ET (21-Jun-2026 16:16 GMT/UTC)
Over the past two decades ENSO, a climate pattern in the equatorial Pacific Ocean that includes El Niño and La Niña, has been the dominant driver of total water storage extremes at the global level. What’s more, the researchers found that ENSO has a synchronizing effect on water storage extremes across continents.
A new scientific study has revealed major gaps in the protection of critical shark and ray habitats across the Western Indian Ocean – but has also highlighted Seychelles as a clear regional leader in safeguarding these species.
445 million years ago, life on our planet was forever changed. During a geological blink of an eye, glaciers formed over the supercontinent Gondwana, drying out many of the vast, shallow seas like a sponge and giving us an ‘icehouse climate’ that, together with radically changed ocean chemistry, ultimately caused the extinction of about 85% of all marine species – the majority of life on Earth.
In a new Science Advances study, researchers from the Okinawa Institute of Science and Technology (OIST) have now proved that from this biological havoc, known as the Late Ordovician Mass Extinction (LOME), came an unprecedented richness of vertebrate life. During the upheaval, one group came to dominate all others, putting life on the path to what we know it as today: jawed vertebrates.
Existing sea surface height prediction models require excessive computing power and training times and suffer from progressive error accumulation, limiting their accuracy to 14–15 days in the future. A team of researchers recently developed a lightweight deep learning model called GTU-Net with unique loss function and physical constraints that improve the reliability of medium- and long-range sea surface height predictions to improve long-term ocean monitoring, climate studies and operational ocean forecasting.