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GraphCast-Mamba enhances weather forecasts with Mamba correction branch · 2 sources tracked

Researchers have developed GraphCast-Mamba, a novel approach to weather forecasting that enhances existing models by incorporating a trainable Mamba correction branch. This new branch augments a pretrained GraphCast backbone, allowing it to learn from temporal context beyond the standard short input windows. By retaining a temporal memory state, GraphCast-Mamba significantly improves forecast accuracy, reducing loss by over 14% and decreasing root-mean-square error by up to 14.60% across various meteorological variables for ten-day forecasts. AI

IMPACT Enhances weather forecasting accuracy by incorporating temporal memory, potentially leading to more reliable long-range predictions.

RANK_REASON The cluster describes a new research paper detailing a novel model architecture for weather forecasting.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

GraphCast-Mamba enhances weather forecasts with Mamba correction branch · 2 sources tracked

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The cluster describes a new research paper detailing a novel model architecture for weather forecasting.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Ilya Vilkoviskiy, Liang-Hong Mo, Suozhi Huang, Dmitry A. Abanin ·

    GraphCast-Mamba: Learning Non-Markovian Corrections for Weather Forecasting

    arXiv:2610.28512v1 Announce Type: new Abstract: Unresolved atmospheric processes can introduce history dependence beyond the short input windows used by many weather forecasting models. We introduce GraphCast--Mamba, which augments a frozen, pretrained $1^\circ$ GraphCast backbon…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    GraphCast-Mamba: Learning Non-Markovian Corrections for Weather Forecasting

    Unresolved atmospheric processes can introduce history dependence beyond the short input windows used by many weather forecasting models. We introduce GraphCast--Mamba, which augments a frozen, pretrained $1^\circ$ GraphCast backbone with a trainable Mamba correction branch combi…