Near-real-time monitoring of global ocean carbon sink

被引：0
|
作者：
Ke, Piyu [1 ,2 ,3 ]
Gui, Xiaofan [3 ]
Cao, Wei [3 ]
Wang, Dezhi [4 ]
Hou, Ce [5 ,6 ]
Wang, Lixing [1 ]
Song, Xuanren [1 ]
Li, Yun [7 ]
Zhu, Biqing [8 ]
Bian, Jiang [3 ]
Sitch, Stephen [2 ]
Ciais, Philippe [9 ,10 ]
Friedlingstein, Pierre [2 ]
Liu, Zhu [1 ,11 ]
机构：
[1] Department of Earth System Science, Tsinghua University, Beijing, China
[2] Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Exeter, United Kingdom
[3] Microsoft Research, United States
[4] School of Mathematics and Statistics, Lanzhou University, Lanzhou, China
[5] Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong
[6] Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing, China
[7] Department of Architecture, faculty of Engineering Science, KU Leuven, Leuven, Belgium
[8] Integrated Assessment and Climate Change Research Group, Exploratory Modeling of Human-natural Systems Research Group, International Institute for Applied Systems Analysis (IIASA), Laxenburg,2361, Austria
[9] Laboratoire des Sciences, Climate et de l’Environnement LSCE, Orme de Merisiers, Gif-sur-Yvette,91191, France
[10] Climate and Atmosphere Research Center (CARE-C) The Cyprus Institute, 20 Konstantinou Kavafi Street, Nicosia,2121, Cyprus
[11] Institute of Climate and Carbon Neutrality, Department of Geography, The University of Hong Kong, Hong Kong
来源：
arXiv | 2023年
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
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中图分类号：
学科分类号：
摘要：
Budget control - Carbon - Climate change - Convolutional neural networks - Learning systems - Oceanography
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