Abstract
Accurately simulating how radiation in the form of sunlight and emitted heat moves through Earth’s atmosphere is crucial for predicting weather, climate change, wildfire evolution, and solar energy production. Current models simplify this complex 3D process to save computing power, because radiation computations are very expensive. ORCRIST will develop fast, highly detailed 3D radiative transfer models using advanced GPU computing and machine learning. By better capturing how clouds and wildfire plumes interact with radiation, this project will enable applications in a wide range of industrial sectors and support both science and society’s response to today’s environmental challenges.
