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Xiaobin Wang

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Open access Aug 2026

Deep learning for multi-step forecasting of stratospheric wind and temperature profiles over the Tibetan plateau

The MTPV-HDRNet model is proposed as a fixed-site, multi-level intelligent forecasting model driven by ECMWF ERA5 pressure-level reanalysis data, adopting a hybrid encoder–decoder architecture that explicitly represents temporal evolution and vertical stratification in a decoupled but complementary manner.

Xue-cai Zhang, Zonghua Ding, Shuji Sun et al. · 0 citations

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