Dynamical downscaling refines coarse global climate model outputs by embedding high-resolution regional climate models over areas of interest, thereby capturing fine-scale processes such as orographic ...

Famous as “Roof of the World”, the Tibetan Plateau is tough to be conquered by the meteorological scientists for its high altitude, steep terrain and harsh natural environments. Limitations and ...

Machine learning has emerged as a pivotal tool for translating coarse‐scale climate model outputs into high‐resolution regional and local projections. Techniques range from traditional statistical ...

A high-resolution Arctic Ocean dynamical downscaling dataset for understanding past and future climate change was established. The dataset includes 115-year historical simulations from 1900 to 2014 ...

Researchers at Indian Institute of Technology Roorkee on Friday developed and released an open-access high-resolution climate projection dataset, named INDRA-CMIP6, aimed at helping ...