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 326–350 of 420 papers

TitleStatusHype
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
Show:102550
← PrevPage 14 of 17Next →
All datasetsSEVIRShifts

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