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
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network—0
Segregation and Context Aggregation Network for Real-time Cloud Segmentation—0
SFANet: Spatial-Frequency Attention Network for Weather Forecasting—0
Sheaf HyperNetworks for Personalized Federated Learning—0
Simultaneous Detection and Removal of High Altitude Clouds From an Image—0
Smart Weather Forecasting Using Machine Learning:A Case Study in Tennessee—0
Solarcast-ML: Per Node GraphCast Extension for Solar Energy Production—0
Spatio-temporal Causal Learning for Streamflow Forecasting—0
Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting—0
Statistical and machine learning ensemble modelling to forecast sea surface temperature—0
Statistical post-processing of wind speed forecasts using convolutional neural networks—0
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting—0
Storm Detection by Visual Learning Using Satellite Images—0
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine—0
Super Resolution On Global Weather Forecasts—0
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting—0
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation—0
Tackling Data Heterogeneity in Federated Time Series Forecasting—0
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data—0
The Error is the Feature: how to Forecast Lightning using a Model Prediction Error—0
Time Series Classification Using Convolutional Neural Network On Imbalanced Datasets—0
Towards Location-Specific Precipitation Projections Using Deep Neural Networks—0
Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks—0
Towards Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows—0
Trade-off Between Dependence and Complexity for Nonparametric Learning -- an Empirical Process Approach—0
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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