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 251–300 of 420 papers

TitleStatusHype
FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation—0
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation—0
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation—0
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators—0
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*—0
FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting—0
FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model—0
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling—0
FuXi-S2S: A machine learning model that outperforms conventional global subseasonal forecast models—0
General Information Metrics for Improving AI Model Training Efficiency—0
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data—0
Generative Modeling of High-resolution Global Precipitation Forecasts—0
Global atmospheric data assimilation with multi-modal masked autoencoders—0
Global spatio-temporal downscaling of ERA5 precipitation through generative AI—0
Global Vegetation Modeling with Pre-Trained Weather Transformers—0
GNSS Radio Occultation on Aerial Platforms with Commercial Off-The-Shelf Receivers—0
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence—0
Graph Neural Network for spatiotemporal data: methods and applications—0
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data—0
HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecasting—0
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans—0
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting—0
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model—0
Identification of synoptic weather types over Taiwan area with multiple classifiers—0
Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1—0
Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network—0
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes—0
Inter-Series Transformer: Attending to Products in Time Series Forecasting—0
Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN—0
Predicting Electricity Infrastructure Induced Wildfire Risk in California—0
Predicting Weather Uncertainty with Deep Convnets—0
Prévisions météorologiques basées sur l'intelligence artificielle : une révolution peut en cacher une autre—0
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network—0
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks—0
QGAPHEnsemble : Combining Hybrid QLSTM Network Ensemble via Adaptive Weighting for Short Term Weather Forecasting—0
Quality Assessment of Pixel-Level ImageFusion Using Fuzzy Logic—0
Quantum algorithms applied to satellite mission planning for Earth observation—0
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction—0
Quantum-Assisted Support Vector Regression—0
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery—0
Rainformer: Features Extraction Balanced Network for Radar-Based Precipitation Nowcasting—0
Rain regime segmentation of Sentinel-1 observation learning from NEXRAD collocations with Convolution Neural Networks—0
Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models—0
Regional data-driven weather modeling with a global stretched-grid—0
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data—0
Resolution-Agnostic Transformer-based Climate Downscaling—0
Robustness of AI-based weather forecasts in a changing climate—0
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting—0
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution—0
Seasonal Prediction with Neural GCM and Simplified Boundary Forcings: Large-scale Atmospheric Variability and Tropical Cyclone Activity—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