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在2014-2020年期间,从卫星和再分析数据中,全球估计的无差距和微量化CO2度2

Lingfeng Zhang1, Tongwen Li2, Jingan Wu2

  • 1School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China.

Environment international
|June 29, 2023
PubMed
概括

一个新的全球数据集提供了从2014年到2020年的无差距二氧化碳 (CO2) 测量数据. 这些高分辨率数据有助于理解碳循环,并为气候变化政策提供信息.

关键词:
的二氧化碳 (CO2) 排放量.深度学习是一种深度学习.没有差距的无间隙.全球覆盖范围 全球覆盖范围增长率的增长速度是什么

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