Comparing Machine Learning Models of Raindrop Formation
The simplest model generalized best and cut uncertainty in simulations of droplet coalescence, researchers said.
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3 Articles
Study compares machine learning models of raindrop formation
Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually fall to Earth. This process is hard to model accurately, with current approaches either imprecise or computationally intensive. Better simulations of raindrop formation could help improve climate and weather models.
Comparing Machine Learning Models of Raindrop Formation
Source: Journal of Geophysical Research: Machine Learning and Computation Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually fall to Earth. This process is hard to model accurately, with current approaches being either imprecise or computationally intensive. Better simulations of raindrop formation could help improve climate and weather models. de Jong et al. present and …
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