SOTAVerified

Weather Forecasting

Weather Forecasting is the prediction of future weather conditions such as precipitation, temperature, pressure and wind.

Source: MetNet: A Neural Weather Model for Precipitation Forecasting

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 420 papers

TitleStatusHype
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting—0
ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction—0
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning—0
Deep Learning Techniques in Extreme Weather Events: A Review—0
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data—0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery—0
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models—0
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning—0
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting—0
Over-the-Air Federated Learning in Satellite systems—0
Graph Neural Network for spatiotemporal data: methods and applications—0
Parity CalibrationCode0
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting—0
Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solutionCode0
β-Variational autoencoders and transformers for reduced-order modelling of fluid flows—0
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systemsCode0
A Joint Model and Data Driven Method for Distributed Estimation—0
Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network—0
Quantum algorithms applied to satellite mission planning for Earth observation—0
Maximising Weather Forecasting Accuracy through the Utilisation of Graph Neural Networks and Dynamic GNNs—0
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes—0
Loss-Controlling Calibration for Predictive Models—0
Conformal Loss-Controlling Prediction—0
Generative Modeling of High-resolution Global Precipitation Forecasts—0
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting—0
Inference from Real-World Sparse Measurements—0
EarthNets: Empowering AI in Earth Observation—0
A case study of spatiotemporal forecasting techniques for weather forecastingCode0
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems—0
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather ForecastingCode0
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators—0
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting—0
Distributed Stochastic Bandit Learning with Delayed Context Observation—0
Data-Centric Epidemic Forecasting: A Survey—0
Rain regime segmentation of Sentinel-1 observation learning from NEXRAD collocations with Convolution Neural Networks—0
On the Relationship Between Ground- and Satellite- Based Global Horizontal IrradianceCode0
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting—0
Predicting Electricity Infrastructure Induced Wildfire Risk in California—0
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*—0
Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)Code0
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation—0
Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networksCode0
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulenceCode0
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline modelsCode0
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts—0
Knowledge distillation with error-correcting transfer learning for wind power prediction—0
Physics Informed Shallow Machine Learning for Wind Speed Prediction—0
Rainformer: Features Extraction Balanced Network for Radar-Based Precipitation Nowcasting—0
Less is more: a new machine-learning methodology for spatiotemporal systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PhyDNetMSE4.82—Unverified
2E3D-LSTMMSE4.17—Unverified
3UNetMSE4.11—Unverified
4RainformerMSE4.03—Unverified
5PredRNNMSE3.9—Unverified
6ConvLSTMMSE3.75—Unverified
7EarthformerMSE3.7—Unverified
8IAM4VPMSE2.94—Unverified
#ModelMetricClaimedVerifiedStatus
1CatBoost with RMSEWithUncertaintyR-AUC MSE1.34—Unverified
2SNN Ens U MT Np SpecFER-AUC MSE1.14—Unverified