mlsanityData to 14 Oct 2026

Graph-based Neural Weather Prediction for Limited Area Modeling

arXiv 2309.17370 ↗First posted 29 Sep 2023cs.LG stat.MLcited by 22

Not on the map. Why?

Abstract (arXiv)

The rise of accurate machine learning methods for weather forecasting is creating radical new possibilities for modeling the atmosphere. In the time of climate change, having access to high-resolution forecasts from models like these is also becoming increasingly vital. While most existing Neural Weather Prediction (NeurWP) methods focus on global forecasting, an important question is how these techniques can be applied to limited area modeling. In this work we adapt the graph-based NeurWP approach to the limited area setting and propose a multi-scale hierarchical model extension. Our approach is validated by experiments with a local model for the Nordic region.

Key facts. Cited by 22 papers in the map (data through 14 Oct 2026). Builds on 16 of its 38 references that are in the map. First posted on arXiv 29 Sep 2023.

Builds on

16 of 38 references.

References · 16

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  3. 2016Layer Normalizationcited by 5,669
  4. 2020Fourier Neural Operator for Parametric Partial Differential Equationscited by 2,908
  5. 2022FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operatorscited by 776
  6. 2016Interaction Networks for Learning about Objects, Relations and Physicscited by 509
  7. 2023ClimaX: A foundation model for weather and climatecited by 337
  8. 2022GraphCast: Learning skillful medium-range global weather forecastingcited by 267
  9. 2021Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformerscited by 248
  10. 2023WeatherBench 2: A benchmark for the next generation of data-driven global weather modelscited by 236
  11. 2023Spherical Fourier Neural Operators: Learning Stable Dynamics on the Spherecited by 233
  12. 2023FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Leadcited by 175
4 more
  1. 2022Forecasting Global Weather with Graph Neural Networkscited by 168
  2. 2022MultiScale MeshGraphNetscited by 98
  3. 2021Simulating Continuum Mechanics with Multi-Scale Graph Neural Networkscited by 40
  4. 2023AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learningcited by 40

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 6; 2025: 8; 2026: 7.

22 papers.

Sort:

By area:

  1. 2025PyG 2.0: Scalable Learning on Real World Graphscited by 52
  2. 2023Foundation Models for Weather and Climate Data Understanding: A Comprehensive Surveycited by 34
  3. 2024Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modelingcited by 32
  4. 2024Regional data-driven weather modeling with a global stretched-gridcited by 21
  5. 2025Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusioncited by 11
  6. 2024Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Datacited by 9
  7. 2025FireCastNet: Earth-as-a-Graph for Seasonal Fire Predictioncited by 7
  8. 2025HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scalescited by 7
  9. 2024MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Modelcited by 5
  10. 2026Universal Diffusion-Based Probabilistic Downscalingcited by 5
  11. 2024Regional Ocean Forecasting with Hierarchical Graph Neural Networkscited by 4
  12. 2025A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecastingcited by 4
10 more
  1. 2025Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling Systemcited by 2
  2. 2026Bridging short- and medium-range weather forecasting with machine learningcited by 2
  3. 2025IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over Indiacited by 1
  4. 2024Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric rivercited by 0
  5. 2025On the use of Graphs for Satellite Image Time Seriescited by 0
  6. 2026Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbationscited by 0
  7. 2026From Nowcasting to Forecasting: Adapting a Reanalysis-Trainedcited by 0
  8. 2026A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norwaycited by 0
  9. 2026Varda-single-1.0: deterministic data-driven weather forecasting at 1 km resolution over Switzerland's complex topographycited by 0
  10. 2026Learning Kilometer-Scale Weather Prediction with Global-Regional Alignmentcited by 0