Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...
ACM, the Association for Computing Machinery, today presented a 26-member team with the ACM Gordon Bell Prize for Climate Modeling in recognition of their project "Computing the Full Earth System at 1 ...
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 ...
Andy Hogg works for Australia's Climate Simulator (ACCESS-NRI), based at the Australian National University. He receives funding for ACCESS-NRI from the Department of Education through the National ...
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 ...
"Proceedings of the NATO Advanced Study Institute on Physically- Based Modelling and Simulation of Climate and Climatic Change, Erice, Italy, 11-23 May 1986"--T.p. verso.
Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical savvy and wide-ranging interest in the technological arts and sciences, Ars is ...