Researchers at the New Jersey Institute of Technology (NJIT) have proposed an algorithmic improvement that could advance climate modeling by balancing computational resources and precise cloud modeling.
Accurately representing cloud behavior in climate models has long been a challenge, given that complex calculations (parameterizations) are necessary to approximate the impact of microphysics, turbulence, and other small-scale processes within clouds on a larger scale.
Improving the accuracy of climate models requires frequent refinements and updates to these parameterizations.
The new approach would enable models to consider dynamic grid points, enabling higher-resolution modeling or lower-resolution refinement, depending on the situation, without affecting overall fidelity.
From New Jersey Institute of Technology
View Full Article
Abstracts Copyright © 2023 SmithBucklin, Washington, D.C., USA
No entries found