Weather Forecasting
101 papers with code • 2 benchmarks • 13 datasets
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
Libraries
Use these libraries to find Weather Forecasting models and implementationsDatasets
nuScenes
A2D2
Shifts
SEVIR
Oxford Radar RobotCar Dataset
IowaRain
Hurricane
Latest papers with no code
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting
In this paper, we propose to leverage a hybrid framework Mambaformer that internally combines Mamba for long-range dependency, and Transformer for short range dependency, for long-short range forecasting.
Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observations
Data assimilation (DA), as an indispensable component within contemporary Numerical Weather Prediction (NWP) systems, plays a crucial role in generating the analysis that significantly impacts forecast performance.
Aardvark Weather: end-to-end data-driven weather forecasting
Machine learning is revolutionising medium-range weather prediction.
Global Vegetation Modeling with Pre-Trained Weather Transformers
We demonstrate that leveraging pre-trained weather models improves the NDVI estimates compared to learning an NDVI model from scratch.
Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation
This paper investigates the impact of observations on atmospheric state estimation in weather forecasting systems using graph neural networks (GNNs) and explainability methods.
Deep learning-based method for weather forecasting: A case study in Itoshima
Accurate weather forecasting is of paramount importance for a wide range of practical applications, drawing substantial scientific and societal interest.
An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting
We present an operations-ready multi-model ensemble weather forecasting system which uses hybrid data-driven weather prediction models coupled with the European Centre for Medium-range Weather Forecasts (ECMWF) ocean model to predict global weather at 1-degree resolution for 4 weeks of lead time.
Conformer: Embedding Continuous Attention in Vision Transformer for Weather Forecasting
Conformer is designed to learn the continuous weather evolution over time by implementing continuity in the multi-head attention mechanism.
CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks
Combining an XGNN-based atmospheric state estimation model with a numerical weather prediction model, we provide a web application to search for observations in the 3D space of the Earth system and to visualize the impact of individual observations on predictions in specific spatial regions and time periods.
HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecasting
In recent years, a variety of ML architectures and techniques have seen success in producing skillful medium range weather forecasts.
