M3R improves localized rainfall nowcasting by using weather station time series as queries in multimodal attention to selectively extract precipitation patterns from radar imagery.
Machine learning for precipitation nowcast- ing from radar images
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
FREUD applies rectified flow transformers with frame-wise encoding and a unified decoder to achieve state-of-the-art probabilistic precipitation nowcasting on the SEVIR benchmark.
Full conditional distribution modeling outperforms direct binary classification for rare threshold exceedances by learning bulk parameters from moderate events.
A multimodal GNN ablation for Nordic precipitation nowcasting shows sparse point observations improve station and onset scores while NWP and CRPS losses improve radar-grid performance, indicating local and field skills are distinct targets.
citing papers explorer
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M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention
M3R improves localized rainfall nowcasting by using weather station time series as queries in multimodal attention to selectively extract precipitation patterns from radar imagery.
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Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
FREUD applies rectified flow transformers with frame-wise encoding and a unified decoder to achieve state-of-the-art probabilistic precipitation nowcasting on the SEVIR benchmark.
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Forecasting threshold exceedance of atmospheric variables at a specific location
Full conditional distribution modeling outperforms direct binary classification for rare threshold exceedances by learning bulk parameters from moderate events.
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Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks
A multimodal GNN ablation for Nordic precipitation nowcasting shows sparse point observations improve station and onset scores while NWP and CRPS losses improve radar-grid performance, indicating local and field skills are distinct targets.