Deep learning-based reconstruction of monthly Antarctic surface air temperatures from 1979 to 2023

Abstract Gridded surface air temperature (SAT) data for Antarctica is a crucial foundation for studying climate change in the region. However, significant discrepancies exist between the available Antarctic gridded temperature datasets, particularly regarding the spatial distribution characteristics...

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Bibliographic Details
Main Authors: Ziqi Ma, Jianbin Huang, Xiangdong Zhang, Yong Luo, Tingfeng Dou, Minghu Ding
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-05175-6
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