Estimating high-resolution vertical wind speed profiles from global reanalysis data using TabNet and transfer-learning concepts.

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Deep-learning framework for generating high-resolution wind gust fields from sparse Mesonet observations, designed for operationally relevant nowcasting.

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Machine-learning-based sensitivity analysis and calibration of WRF physics for improved cyclone prediction in the Bay of Bengal.

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