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...
Guardat en:
| Autors principals: | , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Copernicus Publications
2019-12-01
|
| Col·lecció: | Geoscientific Model Development |
| Matèries: | |
| Accés en línia: | https://www.geosci-model-dev.net/12/5113/2019/gmd-12-5113-2019.pdf |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|