weather forecasting

FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NeurIPS 2024 Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NeurIPS 2024 Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs AAAI 2024 Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data ICLR 2024 Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NeurIPS 2024 Precipitation Downscaling with Spatiotemporal Video Diffusion NeurIPS 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NeurIPS 2024 Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NeurIPS 2024 An Integrated Search System for Korea Weather Data EMNLP 2023 ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling NeurIPS 2023 ClimaX: A foundation model for weather and climate ICML 2023 Compressing multidimensional weather and climate data into neural networks ICLR 2023 Geometric Neural Diffusion Processes NeurIPS 2023 Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data IJCAI 2023 Scaling Spherical CNNs ICML 2023 SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking NeurIPS 2023 SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting AAAI 2023 Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting AAAI 2022 RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling NeurIPS 2022 Short-Term Solar Irradiance Prediction From Sky Images With a Clear Sky Model WACV 2022 Generating Weather Comments from Meteorological Simulations EACL 2021 RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery AAAI 2021 Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances AAAI 2021 Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021