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 301–325 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
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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