arXiv AI July 3, 2026 By Low Jun Yu, Niramay Kachhadiya, Herath Mudiyanselage Viraj Vidura Herath, Sanka Rasnayaka, Lucy Amanda Marshall

Spatial Support Matters: Geometry-Aware Graph Fusion for Rainfall Field Reconstruction

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arXiv:2607. 01621v1 Announce Type: new Abstract: Fine-scale rainfall reconstruction is critical for urban flood modeling, but real rainfall sensing systems observe the field through incompatible spatial supports: gauges measure points, microwave links measure paths, and radar/satellite products measure gridded areas.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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OmniPMNet: Bridging discrete and gridded PM10 forecasts via omni-query neural processes

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K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data

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