Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitation Forecasting
Precipitation nowcasting over the immediate 10-90 min period is important for flood management and real-time decision-making in urban regions. Conventional short-range forecasting with high-resolution numerical weather prediction requires frequent data assimilation, model initialization, and spin-up, introducing computational latency. Machine learning provides an alternative by learning storm evolution directly from high-frequency observations and producing forecasts quickly after training. This is particularly relevant for Mumbai, India, where monsoon convection, land-sea interactions, and lo
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- PossiblePossibly related (embedding) · 52%Integrating physics-based tools and machine learning for improved accuracy in city weather modeling - anl.gov →
- FuzzySimilar title/name (fuzzy) · 59%sansan0/TrendRadar →
“Fuzzy title match (0.73): “Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcastin” ≈ “sansan0/TrendRadar””
- FuzzySimilar title/name (fuzzy) · 59%amazon-science/chronos-forecasting →
“Fuzzy title match (0.73): “Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcastin” ≈ “amazon-science/chronos-forecasting””
- FuzzySimilar title/name (fuzzy) · 59%sktime/pytorch-forecasting →
“Fuzzy title match (0.73): “Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcastin” ≈ “sktime/pytorch-forecasting””
- LinkedLinked via arxiv author · 85%Akshay Sunil →
“Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitat”
- LinkedLinked via arxiv author · 85%Muhammed Rashid →
“Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitat”
- LinkedLinked via arxiv author · 85%Raja Sekhar Sivaraju →
“Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitat”
- LinkedLinked via arxiv author · 85%Sushma Nair →
“Physics-Based Deep Spatiotemporal Hyperlocal Radar Nowcasting with a Multi-Variable U-Net for High-Resolution Precipitat”