mlsanityData to 14 Oct 2026

MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba Model

arXiv 2408.06400 ↗First posted 12 Aug 2024physics.ao-ph cs.LGcited by 5

On the map: State-space sequence models (S4, Mamba) → Time series forecasting with SSMs

Abstract (arXiv)

Deep Learning based Weather Prediction (DLWP) models have been improving rapidly over the last few years, surpassing state of the art numerical weather forecasts by significant margins. While much of the optimization effort is focused on training curriculum to extend forecast range in the global context, two aspects remains less explored: limited area modeling and better backbones for weather forecasting. We show in this paper that MetMamba, a DLWP model built on a state-of-the-art state-space model, Mamba, offers notable performance gains and unique advantages over other popular backbones using traditional attention mechanisms and neural operators. We also demonstrate the feasibility of deep learning based limited area modeling via coupled training with a global host model.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Placed in Time series forecasting with SSMs, one of 10 directions in State-space sequence models (S4, Mamba). Builds on 22 of its 34 references that are in the map. First posted on arXiv 12 Aug 2024.

Builds on

22 of 34 references.

References · 22

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10 more
  1. 2023ClimaX: A foundation model for weather and climatecited by 337
  2. 2022GraphCast: Learning skillful medium-range global weather forecastingcited by 267
  3. 2021Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformerscited by 248
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 2.

5 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025WSSM: Geographic-enhanced hierarchical state-space model for global station weather forecast
  2. 2024Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics
  3. 2025RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting
  4. 2024MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling
  5. 2025CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score
  6. 2026MambaRain: Multi-Scale Mamba-Attention Framework for 0-3 Hour Precipitation Nowcasting
  7. 2024Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
  8. 2024Weather Prediction with Diffusion Guided by Realistic Forecast Processes