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Observation-driven correction of numerical weather prediction for marine winds
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China May wholesale inflation hits near 4-year high on Iran war, AI costs; CPI misses
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Storm cuts off New Zealand’s capital as flights, ferries cancelled
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Physics-Guided Dual Decoding and Spectral Supervision for Global 3D Hydrometeor Prediction
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Announce Type: new Abstract: While global data-driven models excel at predicting continuous atmospheric variables, three-dimensional hydrometeor forecasting remains challenging due to the zero-inflated, long-tailed distributions of these variables. Standard deep learning optimization often yields overly smooth forecasts, attenuating extreme events and spatial textures. We propose PredHydro-Net, a physics-guided dual-decoding framework that mitigates this smoothing.
Breaking: Search for 11yo boy missing in wild weather in Perth
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Pulsar wind nebula inside supernova remnant explored with Chandra
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