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 226–250 of 420 papers

TitleStatusHype
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations—0
Mobile Internet Quality Estimation using Self-Tuning Kernel Regression—0
FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model—0
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data—0
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI AttributionsCode0
CoNO: Complex Neural Operator for Continuous Dynamical Systems—0
Forecasting Tropical Cyclones with Cascaded Diffusion ModelsCode1
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems—0
OceanNet: A principled neural operator-based digital twin for regional oceansCode0
Graph-based Neural Weather Prediction for Limited Area ModelingCode2
Neural Operators for Accelerating Scientific Simulations and Design—0
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation—0
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring—0
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence—0
On some limitations of data-driven weather forecasting models—0
Rethinking Evaluation Metric for Probability Estimation Models Using Esports Data—0
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural NetworksCode0
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting—0
ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction—0
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning—0
WeatherBench 2: A benchmark for the next generation of data-driven global weather modelsCode2
Deep Learning Techniques in Extreme Weather Events: A Review—0
Precipitation nowcasting with generative diffusion modelsCode1
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data—0
ClimateLearn: Benchmarking Machine Learning for Weather and Climate ModelingCode2
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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