DRAF-Net: Dual-Branch Residual-Guided Multi-View Attention Fusion Network for Station-Level Numerical Weather Prediction Correction

DRAF-Net: Dual-Branch Residual-Guided Multi-View Attention Fusion Network for Station-Level Numerical Weather Prediction Correction

Accurate station-level numerical weather predictions are critical for disaster prevention and mitigation, with error correction playing an essential role. However, existing correction models struggle to effectively handle the high-dimensional features and complex dependencies inherent in meteorologi...

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Bibliographic Details
Main Authors: Kaixin Chen, Jiaxin Chen, Mengqiu Xu, Ming Wu, Chuang Zhang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
numerical weather prediction correction
deep learning
residual connection
bias adjustment
spatiotemporal modeling
attention fusion
Online Access:https://www.mdpi.com/2072-4292/17/2/206
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