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Extend to Spatiotemporal Domain

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Background: Current precipitation forecasting models often rely on 1D time-series analysis at the basin scale, which simplifies the problem by overlooking correlated atmospheric phenomena across neighboring geographical areas.

Question / Future Work: Future work should focus on extending the current 1D time-series, basin-scale framework to a full spatiotemporal domain by integrating graph-based dependencies. This extension is necessary to ensure regional consistency in forecasts across adjacent catchments, which is crucial for accurate large-scale hazard assessment.

Why It Matters: Moving from 1D to spatiotemporal modeling is critical for capturing large-scale atmospheric correlation and improving regional hazard forecasting consistency.

Evidence: The current implementation focuses on 1D time-series modeling at the basin scale, a choice that prioritizes local structural fidelity over broader spatiotemporal field correlations. … Future research will focus on extending the framework to the spatiotemporal domain by incorporating graph-based dependencies, ensuring regional consistency across neighboring catchments.

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