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Found 8 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.
Improved Flood Insights: Diffusion-Based SAR to EO Image Translation
Driven by rapid climate change, the frequency and intensity of flood events are increasing.
Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network
Although recent geostationary satellite resolution has improved, the long-term analysis of climate applications is limited to using multiple satellites from the past to the present due to the different resolutions.
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.
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation
In the training of deep learning models, how the model parameters are initialized greatly affects the model performance, sample efficiency, and convergence speed.
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
In this paper, we introduce a new large-scale face database from KIST, denoted as K-FACE, and describe a novel capturing device specifically designed to obtain the data.
