Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
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 repeated claim that climate science is “settled” overlooks myriad uncertainties, competing mechanisms and computer models ...
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, ...
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...
"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.
Scientists who work on long-term climate patterns usually stay close to Earth. The data is here, the records are clearer, and the risks are immediate. A new study shifts that focus slightly outward.
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