Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean accompanying global warming. Existing climate models have failed to capture this ...
Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...
The Gordon Bell Climate Prize-winning team reached a landmark this year by being the first team ever to develop a Full Earth Simulation at 1 km (extremely high) Resolution. St. Louis, MO, November 20, ...
Our project is designed to unravel the complexities of climate change impacts within the Neponset River Watershed, employing sophisticated methods tailored specifically to this study domain. Through ...
Methodology of the CondensNet model. CondensNet is a physically constrained DL parametrisation coupled with a climate dynamics engine to support hybrid modelling. The network architecture mainly has ...
Description of the method that learns a map between the attractor of the coarsely-resolved equations and the attractor of the reference trajectory. Left: the red dashed curve represents the reference ...
Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the climate might evolve under different policies? The Earth system is a vast ...
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