Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data

14 Jan 2020 Shen Huanfeng Jiang Yun Li Tongwen Cheng Qing Zeng Chao Zhang Liangpei

Air temperature (Ta) is an essential climatological component that controls and influences various earth surface processes. In this study, we make the first attempt to employ deep learning for Ta mapping mainly based on space remote sensing and ground station observations... (read more)

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  • ATMOSPHERIC AND OCEANIC PHYSICS