A comparative assessment of the uncertainties of global surface ocean CO<sub>2</sub> estimates using a machine-learning ensemble (CSIR-ML6 version 2019a) – have we hit the wall?

<p>Over the last decade, advanced statistical inference and machine learning have been used to fill the gaps in sparse surface ocean <span class="inline-formula">CO<sub>2</sub></span> measurements (Rödenbeck et al., 2015). The estimates from these methods have...

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Bibliographic Details
Published in:	Geoscientific Model Development
Main Authors:	L. Gregor, A. D. Lebehot, S. Kok, P. M. Scheel Monteiro
Format:	Article
Language:	English
Published:	Copernicus Publications 2019-12-01
Subjects:	open climate campaign
Online Access:	https://www.geosci-model-dev.net/12/5113/2019/gmd-12-5113-2019.pdf

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