🌍 Earth Science¶

📷 CVPR2026 · 2 paper notes

PhyOceanCast: Global Ocean Forecasting with Physics-Informed Diffusion: PhyOceanCast models global ocean forecasting as a residual diffusion problem. It utilizes a Spherical Graph Attention Network (SGAN-MOC) to address "high-latitude projection distortion + variable coupling" and a Physics-informed Wavelet Temporal Connection module (PWTC) to handle "multi-scale dynamics + conservation constraints". The framework predicts 145 ocean variables across 36 depth layers simultaneously, reducing the 30-day forecast RMSE by approximately 13.7% compared to the strongest baseline.
SIGMA: A Physics-Based Benchmark for Gas Chimney Understanding in Seismic Images: This work proposes SIGMA, the first physics-based synthetic seismic image dataset with ground truth labels. By combining wave equation forward modeling and Reverse Time Migration (RTM), velocity models containing gas chimneys are converted into seismic images. The dataset provides pixel-level gas chimney masks (for detection) and paired "degraded-clean" images (for enhancement). Benchmarking multiple baselines reveals that existing methods collectively struggle on this data.