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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| 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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