Tag
This paper proposes distilling deep optical flow stereo methods into a single-satellite model for efficient retrieval of dense three-dimensional wind fields, improving accuracy over traditional atmospheric motion vectors in certain spectral bands.
The 2026 Atlantic hurricane season is expected to be below normal due to a rapidly strengthening El Niño, with forecasters predicting fewer named storms and hurricanes.
This paper investigates the internal representations of the Aurora foundation weather model using PCA and layer-wise relevance propagation, finding that its latent space is organized by seasonal cycles and that the model learns meteorological coherence and vertical structure without explicit instruction.
Gliderboy has developed a weather balloon that can glide back home after its mission, reinventing the humble weather balloon with autonomous return flight capability.
AirCast-SR is a diffusion-based foundation model that downscales global AI weather forecasts from 0.25° to 1 km resolution at hourly cadence, producing 67-hour forecasts with near-zero bias and structural realism, while running inference in minutes on a single commodity GPU.
Penn State researchers first documented natural corona discharges glowing on treetops during thunderstorms, confirming a 70-year-old hypothesis and revealing a new atmospheric source of hydroxyl radicals.