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Near-real-time monitoring of global ocean carbon sink for 2010-2023

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Version 2 2024-11-18, 12:55
Version 1 2023-11-29, 13:53
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posted on 2024-11-18, 12:55 authored by Piyu KePiyu Ke, Xiaofan Gui, Wei Cao, Yuming Jin, Dezhi Wang, Ce Hou, Lixing Wang, Xuanren Song, Yun Li, Biqing ZhuBiqing Zhu, Jiang Bian, Stephen Sitch, Philippe Ciais, Pierre Friedlingstein, Zhu Liu

We present a near-real-time, monthly grid-based dataset of global surface ocean fugacity of CO2 (fCO2) and ocean-atmosphere CO2 flux data from January 2010 to June 2024, called Carbon Monitor Ocean (CMO-NRT). The data have been derived by updating the estimates from 8 Global Ocean Biogeochemical Models and 8 data products in the Global Carbon Budget 2022 to a near-real-time framework. This is achieved by employing Convolutional Neural Networks and semi-supervised learning methods to learn the non-linear relationship between the fCO2 estimates from models or products and climate predictive variables, and subsequently calculating the air-sea CO2 flux. The data from 2010 to 2021 represent historical reconstructions based on model outputs, while the data from 2022 to June 2024 are near-real-time estimates.

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