Weather Forecasting

Weather forecasting aims to accurately predict atmospheric conditions, crucial for numerous societal applications from daily planning to disaster mitigation. Current research emphasizes improving forecast accuracy and efficiency through advanced deep learning models, including transformers, convolutional neural networks, and recurrent neural networks, often incorporating techniques like masked autoencoding and diffusion models to handle complex spatiotemporal dependencies and quantify uncertainty. These advancements are leading to more precise and reliable forecasts across various timescales and spatial resolutions, impacting diverse fields such as agriculture, energy management, and public safety.

Papers

February 2, 2024

Comparative Evaluation of Weather Forecasting using Machine Learning Models
Md Saydur Rahman, Farhana Akter Tumpa, Md Shazid Islam, Abul Al Arabi, Md Sanzid Bin Hossain, Md Saad Ul Haque
Machine Learning Machine Learning Model Machine Learning Algorithm Data Mining Weather Forecasting Comparative Evaluation Climate Pattern

January 15, 2024

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK
Wenqi Wang, Jacob Bieker, Rossella Arcucci, César Quilodrán-Casas
Data Assimilation Weather Forecasting Weather Data Global Weather Global Forecasting Ecmwf Reanalysis V5

January 4, 2024

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling
Wenyuan Li, Zili Liu, Keyan Chen, Hao Chen, Shunlin Liang, Zhengxia Zou, Zhenwei Shi
Deep Learning Model Numerical Weather Prediction Weather Forecasting Weather Prediction Model Atmospheric Science Continuous Weather

December 6, 2023

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover
Neural Network Deep Learning Forecasting Performance Weather Forecasting Medium Range Atmospheric Dynamic Scaling Transformer

October 19, 2023

A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs
Elaheh Jafarigol, Theodore Trafalis
GAN Model Tabular Data Data Imbalance Weather Forecasting Weather Data Model Precipitation

September 5, 2023

Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting
Anuvab Sen, Arul Rhik Mazumder, Dibyarup Dutta, Udayon Sen, Pathikrit Syam, Sandipan Dhar
Metaheuristic Algorithm Weather Forecasting Comparative Evaluation Hyperparameter Selection Weather Prediction Task

August 27, 2023

Interpolation of mountain weather forecasts by machine learning
Kazuma Iwase, Tomoyuki Takenawa
Machine Learning Machine Learning Model Interpolation Regime Weather Forecasting

August 13, 2023

Precipitation nowcasting with generative diffusion models
Andrea Asperti, Fabio Merizzi, Alberto Paparella, Giorgio Pedrazzi, Matteo Angelinelli, Stefano Colamonaco
Generative Model Generative Diffusion Model Weather Forecasting Precipitation Nowcasting Precipitation Associated Weather Benchmark

August 7, 2023

The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data
Wencong Cheng, Yan Yan, Jiangjiang Xia, Qi Liu, Chang Qu, Zhigang Wang
Numerical Weather Prediction Weather Forecasting Weather Data Medium Range Traditional Numerical Weather Prediction Self Compatibility Pangu Weather

April 18, 2023

W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting
Xin Man, Chenghong Zhang, Jin Feng, Changyu Li, Jie Shao
Supervised Autoencoder Weather Forecasting Weather Data Weather Prediction Model Sce Mae Ecmwf Reanalysis V5

February 21, 2023

Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Xun Zhu, Yutong Xiong, Ming Wu, Gaozhen Nie, Bin Zhang, Ziheng Yang
Real Time Benchmark Dataset Weather Forecasting Spatio Temporal Forecasting Ground Based Temporal Benchmark Weather Prediction Task

January 29, 2023

Maximising Weather Forecasting Accuracy through the Utilisation of Graph Neural Networks and Dynamic GNNs
Gaganpreet Singh, Surya Durbha, Shreelakshmi C R
Graph Neural Network Greater Public Use Weather Forecasting Dynamic Graph Neural Network Weather Prediction Model

January 22, 2023

Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
Weather Forecasting Climate Data Weather Data

December 24, 2022

GraphCast: Learning skillful medium-range global weather forecasting
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Oriol Vinyals, Jacklynn Stott, Alexander Pritzel, Shakir Mohamed, Peter Battaglia
Forecasting Performance Weather Forecasting Medium Range Traditional Numerical Weather Prediction

December 6, 2022

Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi
Deep Learning Deep Learning Model Weather Forecasting Weather Data Traditional Numerical Weather Prediction

December 5, 2022

Solving the Weather4cast Challenge via Visual Transformers for 3D Images
Yury Belousov, Sergey Polezhaev, Brian Pulfer
Vision Transformer Computer Vision Weather Forecasting Transformer Based Architecture Baseline Model 3d Image Weather4cast Challenge

October 31, 2022

A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning
Randy J. Chase, David R. Harrison, Gary Lackmann, Amy McGovern
Neural Network Deep Learning Machine Learning Weather Forecasting Traditional Machine Learning

September 29, 2022

A case study of spatiotemporal forecasting techniques for weather forecasting
Shakir Showkat Sofi, Ivan Oseledets
Case Study Numerical Weather Prediction Weather Forecasting Climate Data Spatiotemporal Forecasting Spatiotemporal Prediction Spatiotemporal Correlation

August 8, 2022

FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Animashree Anandkumar
High Resolution Fourier Neural Operator Numerical Weather Prediction Weather Forecasting Global Weather Traffic4cast Competition Extreme Weather Physic Based Numerical Weather Prediction

July 15, 2022

A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
Ágnes Baran, Sándor Baran
Constructive Approach Ensemble Method Post Processing Weather Forecasting Ensemble Forecast Renewable Generation Ensemble Weather Global Horizontal Irradiance

Weather Forecasting

Papers

Comparative Evaluation of Weather Forecasting using Machine Learning Models

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting

A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs

Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting

Interpolation of mountain weather forecasts by machine learning

Precipitation nowcasting with generative diffusion models

The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data

W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting

Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations

Maximising Weather Forecasting Accuracy through the Utilisation of Graph Neural Networks and Dynamic GNNs

Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data

GraphCast: Learning skillful medium-range global weather forecasting

Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network

Solving the Weather4cast Challenge via Visual Transformers for 3D Images

A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning

A case study of spatiotemporal forecasting techniques for weather forecasting

FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators

A two-step machine learning approach to statistical post-processing of weather forecasts for power generation