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Found 7 papers, 4 papers with code
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
Our model provides predictions at 6-hour intervals for up to 72 hours in advance and outperforms both state-of-the-art data-driven methods and numerical weather prediction models.
Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting
We also introduce and evaluate the Pacific Northwest Windstorm (PNW)-Typhoon weather satellite dataset to verify the effectiveness of DGDM in high-resolution regional forecasting.
Prototype-oriented Unsupervised Change Detection for Disaster Management
Climate change has led to an increased frequency of natural disasters such as floods and cyclones.
Improved Flood Insights: Diffusion-Based SAR to EO Image Translation
Driven by rapid climate change, the frequency and intensity of flood events are increasing.
Implicit Stacked Autoregressive Model for Video Prediction
Future frame prediction has been approached through two primary methods: autoregressive and non-autoregressive.
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on SEVIR
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
In this paper, we propose a training strategy to make the weather prediction model robust to spatial-temporal shifts.
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
Traditional weather forecasting relies on domain expertise and computationally intensive numerical simulation systems.
