Reconstruction of a transferable deep learning super-resolution model based on ERA5 temperature Dataset

Description

These dataset is used in the study: "Reconstruction of a transferable deep learning super-resolution model based on ERA5 temperature Dataset". The netCDF format (.nc) dataset comes from ERA5.

Steps to reproduce

We employ the 2-meter temperature variable from ERA5 for super-resolution reconstruction and physical characteristic analysis. This variable represents the near-surface thermodynamic state at 2-meter height, with a native spatial resolution of 0.25◦ ×0.25◦

Institutions

• City University of Macau

  Macau, Macao

Categories

Funders

• Fundo para o Desenvolvimento das Ciências e da Tecnologia, FDCT

  Grant ID: 0053/2025/ITP1

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Licence