Spatiotemporal Forecasting

Overview

Spatiotemporal forecasting studies how patterns evolve across both space and time, supporting decisions such as routing traffic, preparing for floods, and tracking disease outbreaks. Common approaches include graph neural networks for connected locations, convolutional and Transformer models for gridded fields, and state-space or neural-operator methods for long sequences and physical dynamics. Researchers also use physics-informed constraints, multimodal data, and probabilistic or generative models to represent mechanisms and forecast uncertainty. A central challenge is making forecasts stable and calibrated over long horizons while generalizing to sparse observations, new regions, and changing conditions; realistic benchmarks often reveal weaknesses hidden by standard test splits.

Latest papers

CardsList

429 papers59 papers in the last four weeks, up 48% on the four weeks before. 0.3% of all new papers.

  1. Modern Structure-Aware Simplicial Spatiotemporal Neural Network

    Apr 17, 2026Zhaobo Hu, Vincent Gauthier, Mehdi NaimaSpatiotemporal ForecastingSpatiotemporal GNNs

  2. M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention

    Apr 15, 2026Sanjeev Panta, Rhett M Morvant, Xu Yuan +2Precipitation NowcastingSpatiotemporal Forecasting

  3. FAST: A Synergistic Framework of Attention and State-space Models for Spatiotemporal Traffic Prediction

    Apr 15, 2026Xinjin Li, Jinghan Cao, Mengyue Wang +5Spatiotemporal ForecastingTraffic Forecasting

  4. Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning

    Apr 13, 2026Abeer Mostafa, Raneen Younis, Zahra AhmadiOver-Smoothing in GNNsGraph Neural Networks

  5. Anticipating tipping in spatiotemporal systems with machine learning

    Apr 7, 2026Smita Deb, Zheng-Meng Zhai, Mulugeta Haile +1Spatiotemporal ForecastingReservoir Computing

  6. EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks

    Apr 6, 2026Zhiming Xue, Menghao Huo, Yujue WangSupply Chain ManagementSpatiotemporal Forecasting

  7. Towards Scaling Law Analysis For Spatiotemporal Weather Data

    Apr 6, 2026Alexander Kiefer, Prasanna Balaprakash, Xiao WangWeather ForecastingSpatiotemporal Forecasting

  8. El Nino Prediction Based on Weather Forecast and Geographical Time-series Data

    Apr 5, 2026Viet Trinh, Ha-Vy Luu, Quoc-Khiem Nguyen-Pham +3Spatiotemporal Forecasting

  9. Solar-VLM: Multimodal Vision-Language Models for Augmented Solar Power Forecasting

    Apr 5, 2026Hang Fan, Haoran Pei, Runze Liang +3Solar Power ForecastingSpatiotemporal Forecasting

  10. LAtent Phase Inference from Short time sequences using SHallow REcurrent Decoders (LAPIS-SHRED)

    Apr 1, 2026Yuxuan Bao, Xingyue Zhang, J. Nathan KutzSpatiotemporal ForecastingLatent Dynamics Modeling

  11. The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline

    Apr 1, 2026Piyush Garg, Diana R. Gergel, Andrew E. Shao +1Weather ForecastingSpatiotemporal Forecasting

  12. Predicting Dynamics of Ultra-Large Complex Systems by Inferring Governing Equations

    Apr 1, 2026Qi Shao, Duxin Chen, Jiawen Chen +5Dynamical SystemsNonlinear System Identification

  13. Real Time Local Wind Inference for Robust Autonomous Navigation

    Apr 1, 2026Spencer FolkAerial RoboticsRobot Navigation

  14. Hybrid Quantum-Classical Spatiotemporal Forecasting for 3D Cloud Fields

    Mar 31, 2026Fu Wang, Qifeng Lu, Xinyu Long +4Spatiotemporal ForecastingWeather Forecasting

  15. Improving Ensemble Forecasts of Abnormally Deflecting Tropical Cyclones with Fused Atmosphere-Ocean-Terrain Data

    Mar 31, 2026Qixiang Li, Yuan Zhou, Shuwei Huo +2Tropical Cyclone Intensity ForecastingWeather Forecasting

  16. E-TIDE: Fast, Structure-Preserving Motion Forecasting from Event Sequences

    Mar 29, 2026Biswadeep Sen, Benoit R. Cottereau, Nicolas Cuperlier +1Event-Based VisionEfficient Neural Network Inference

  17. AIFS-COMPO: A Global Data-Driven Atmospheric Composition Forecasting System

    Mar 29, 2026Paula Harder, Johannes Flemming, Mihai Alexe +3Air Quality PredictionSpatiotemporal Forecasting

  18. Characterization and forecasting of national-scale solar power ramp events

    Mar 27, 2026Luca Lanzilao, Angela MeyerSolar Power ForecastingPower Systems

  19. GLU: Global-Local-Uncertainty Fusion for Scalable Spatiotemporal Reconstruction and Forecasting

    Mar 27, 2026Linzheng Wang, Jason Chen, Nicolas Tricard +2Spatiotemporal ForecastingDigital Twins

  20. Spatiotemporal System Forecasting with Irregular Time Steps via Masked Autoencoder

    Mar 26, 2026Kewei Zhu, Yanze Xin, Jinwei Hu +3Spatiotemporal ForecastingIrregular Time-Series Modeling

  21. Pure and physics-guided deep learning approaches for spatio-temporal groundwater level prediction

    Mar 26, 2026Matteo Salis, Gabriele Sartor, Rosa Meo +2Physics-Informed MLAttention Mechanisms

  22. BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term Forecasting

    Mar 24, 2026Renbo Tu, Ali SaraerToosi, Nicholas S. Conroy +2AstrophysicsSpatiotemporal Forecasting

  23. WaveSFNet: A Wavelet-Based Codec and Spatial--Frequency Dual-Domain Gating Network for Spatiotemporal Prediction

    Mar 24, 2026Xinyong Cai, Runming Xie, Hu Chen +1Spatiotemporal ForecastingConvolutional Neural Networks

  24. Sonny: Breaking the Compute Wall in Medium-Range Weather Forecasting

    Mar 22, 2026Minjong CheonWeather ForecastingSpatiotemporal Forecasting

  25. Data-driven ensemble prediction of the global ocean

    Mar 20, 2026Qiusheng Huang, Xiaohui Zhong, Anboyu Guo +3Probabilistic ForecastingSpatiotemporal Forecasting

  26. End-to-end data-driven prediction of urban airflow and pollutant dispersion

    Mar 18, 2026Nishant Kumar, Franck Kerhervé, Lionel Agostini +1Air Quality PredictionSpatiotemporal Forecasting