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 351–400 of 420 papers

TitleStatusHype
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
Is AI Robust Enough for Scientific Research?—0
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models—0
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
Joint Retrieval of Cloud properties using Attention-based Deep Learning Models—0
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling—0
Knowledge distillation with error-correcting transfer learning for wind power prediction—0
Kunyu: A High-Performing Global Weather Model Beyond Regression Losses—0
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data—0
Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation—0
Learning and Current Prediction of PMSM Drive via Differential Neural Networks—0
Learning to forecast diagnostic parameters using pre-trained weather embedding—0
LE-PDE++: Mamba for accelerating PDEs Simulations—0
Less is more: a new machine-learning methodology for spatiotemporal systems—0
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting—0
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations—0
Loss-Controlling Calibration for Predictive Models—0
LWFNet: Coherent Doppler Wind Lidar-Based Network for Wind Field Retrieval—0
Machine learning-based probabilistic forecasting of solar irradiance in Chile—0
Machine Learning for Predicting Chaotic Systems—0
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations—0
Make Thunderbolts Less Frightening -- Predicting Extreme Weather Using Deep Learning—0
Masked Autoregressive Model for Weather Forecasting—0
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive—0
Maximising Weather Forecasting Accuracy through the Utilisation of Graph Neural Networks and Dynamic GNNs—0
MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model—0
Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density—0
Mobile Internet Quality Estimation using Self-Tuning Kernel Regression—0
Model Extraction Attacks against Recurrent Neural Networks—0
Modeling the Impact of 5G Leakage on Weather Prediction—0
Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts—0
Neural Incremental Data Assimilation—0
Neural Operators for Accelerating Scientific Simulations and Design—0
OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations—0
On some limitations of data-driven weather forecasting models—0
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage—0
Over-the-Air Federated Learning in Satellite systems—0
Overview of Fault Tolerant Techniques in Underwater Sensor Networks—0
PACER: Physics Informed Uncertainty Aware Climate Emulator—0
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring—0
PEAR: Equal Area Weather Forecasting on the Sphere—0
Pets: General Pattern Assisted Architecture For Time Series Analysis—0
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning—0
Physics-Enhanced TinyML for Real-Time Detection of Ground Magnetic Anomalies—0
Physics Informed Shallow Machine Learning for Wind Speed Prediction—0
Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN—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