2 papers
cs.LG2026
Scaling Laws of Global Weather Models
Yuejiang Yu, Langwen Huang, Alexandru Calotoiu +1
Data-driven models are revolutionizing weather forecasting. To optimize training efficiency and model performance, this paper analyzes empirical scaling laws within this domain. We…
cs.CE2024
DiffDA: a Diffusion Model for Weather-scale Data Assimilation
Langwen Huang, Lukas Gianinazzi, Yuejiang Yu +2
The generation of initial conditions via accurate data assimilation is crucial for weather forecasting and climate modeling. We propose DiffDA as a denoising diffusion model capabl…