Spatial Downscaling of Near-Surface Air Temperature Based on Deep Learning Cross-Attention Mechanism

Spatial Downscaling of Near-Surface Air Temperature Based on Deep Learning Cross-Attention Mechanism

Deep learning methods can achieve a finer refinement required for downscaling meteorological elements, but their performance in terms of bias still lags behind physical methods. This paper proposes a statistical downscaling network based on Light-CLDASSD that utilizes a Shuffle–nonlinear-activation-...

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Bibliographic Details
Main Authors: Zhanfei Shen, Chunxiang Shi, Runping Shen, Ruian Tie, Lingling Ge
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Remote Sensing
Subjects:
deep learning
statistical downscaling
cross-attention
air temperature
Online Access:https://www.mdpi.com/2072-4292/15/21/5084

Internet

https://www.mdpi.com/2072-4292/15/21/5084

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