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 76–100 of 420 papers

TitleStatusHype
Tackling Data Heterogeneity in Federated Time Series Forecasting—0
Global spatio-temporal downscaling of ERA5 precipitation through generative AI—0
Resolution-Agnostic Transformer-based Climate Downscaling—0
Exploring the Use of Machine Learning Weather Models in Data Assimilation—0
Transforming the Hybrid Cloud for Emerging AI Workloads—0
Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation—0
Machine learning-based probabilistic forecasting of solar irradiance in Chile—0
DaYu: Data-Driven Model for Geostationary Satellite Observed Cloud Images Forecasting—0
WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning—0
Advancing Meteorological Forecasting: AI-based Approach to Synoptic Weather Map Analysis—0
Peri-midFormer: Periodic Pyramid Transformer for Time Series AnalysisCode1
LE-PDE++: Mamba for accelerating PDEs Simulations—0
PACER: Physics Informed Uncertainty Aware Climate Emulator—0
Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of ConceptCode0
Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models—0
Evaluating and Improving Automatic Speech Recognition Systems for Korean Meteorological Experts—0
Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts—0
Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data—0
Data-driven rainfall prediction at a regional scale: a case study with GhanaCode0
Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation DataCode2
Regional Ocean Forecasting with Hierarchical Graph Neural NetworksCode0
Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal NetworksCode0
Exploring the design space of deep-learning-based weather forecasting systems—0
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data—0
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather ForecastingCode1
Show:102550
← PrevPage 4 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