Newly reconstructed Arctic surface air temperatures for 1979–2021 with deep learning method

A precise Arctic surface air temperature (SAT) dataset, that is regularly updated, has more complete spatial and temporal coverage, and is based on instrumental observations, is critically important for timely monitoring and improving understanding of the rapid change in the Arctic climate. In this...

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Detalles Bibliográficos
Autores principales: Ma, Ziqi, Huang, Jianbin, Zhang, Xiangdong, Luo, Yong, Ding, Minghu, Wen, Jun, Jin, Weixin, Qiao, Chen, Yin, Yifu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017794/
https://www.ncbi.nlm.nih.gov/pubmed/36922501
http://dx.doi.org/10.1038/s41597-023-02059-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017794/
https://www.ncbi.nlm.nih.gov/pubmed/36922501
http://dx.doi.org/10.1038/s41597-023-02059-5

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