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 been used to constrain seasonal, intera...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Copernicus Publications
2019-12-01
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| Edice: | Geoscientific Model Development |
| Témata: | |
| On-line přístup: | https://www.geosci-model-dev.net/12/5113/2019/gmd-12-5113-2019.pdf |
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