Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean ...
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster alternative to computationally intensive cloud-resolving simulations. However, ...
The Madden–Julian Oscillation (MJO), as a key driver of global weather and climate anomalies, is an important source of subseasonal predictability. However, most climate models still struggle to ...
Nvidia (NVDA) announced two new NVIDIA NIM microservices that can accelerate climate change modeling simulation results by 500x in NVIDIA Earth-2. Earth-2 is a digital twin platform for simulating and ...
Developed by a team led by Daniel Klocke at the Max Planck Institute for Meteorology in Germany, the model reaches a spatial resolution of 1.25 kilometers -- a level many atmospheric scientists have ...
Climate Compass on MSN
Why climate models struggle to predict what comes next
We've been watching temperatures climb, extreme weather events intensify, and ice sheets shrink. Every weather forecast and climate projection relies on incredibly complex computer simulations that ...
Scientists have developed a powerful new way to trace the journey of water across the planet by reading tiny atomic clues hidden inside it. Slightly heavier versions of hydrogen and oxygen, called ...
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