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

Showing 201225 of 420 papers

TitleStatusHype
Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data0
Data-driven rainfall prediction at a regional scale: a case study with GhanaCode0
Regional Ocean Forecasting with Hierarchical Graph Neural Networks0
Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal NetworksCode0
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data0
Exploring the design space of deep-learning-based weather forecasting systems0
Regression Conformal Prediction under BiasCode0
YanTian: An Application Platform for AI Global Weather Forecasting Models0
Masked Autoregressive Model for Weather Forecasting0
Robustness of AI-based weather forecasts in a changing climate0
WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer0
Super Resolution On Global Weather Forecasts0
Weather Prediction Using CNN-LSTM for Time Series Analysis: A Case Study on Delhi Temperature Data0
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty QuantificationCode0
Regional data-driven weather modeling with a global stretched-grid0
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks0
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data0
Causal machine learning for sustainable agroecosystems0
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling0
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting0
MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model0
Inter-Series Transformer: Attending to Products in Time Series Forecasting0
Machine Learning for Predicting Chaotic Systems0
Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent spaceCode0
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PhyDNetMSE4.82Unverified
2E3D-LSTMMSE4.17Unverified
3UNetMSE4.11Unverified
4RainformerMSE4.03Unverified
5PredRNNMSE3.9Unverified
6ConvLSTMMSE3.75Unverified
7EarthformerMSE3.7Unverified
8IAM4VPMSE2.94Unverified
#ModelMetricClaimedVerifiedStatus
1CatBoost with RMSEWithUncertaintyR-AUC MSE1.34Unverified
2SNN Ens U MT Np SpecFER-AUC MSE1.14Unverified