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A diagnostic framework for interpreting spatiotemporal probabilistic forecasts
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DOI：10.1016/j.envsoft.2026.107052.png)
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Abstract
En 中文
• A diagnostic framework is introduced to interpret spatially distributed probabilistic forecasts beyond aggregate summary scores. • A consistent map–polar visual grammar compares interval width, interval exceedance, horizon drift, and quantile shape. • In the Zhongshan land-subsidence case study, similar median forecast fields coexist with markedly different uncertainty structures.
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E
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4.6
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