Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Assessing improvements in global ocean pCO₂ machine learning reconstructions with Southern Ocean autonomous sampling ; day:10 ; month:10 ; year:2023 ; pages:1-35 ; extent:35
Biogeosciences discussions ; (10.10.2023), 1-35 (gesamt 35)

Creator: Heimdal, Thea Hatlen
McKinley, Galen A.
Sutton, Adrienne J.
Fay, Amanda R.
Gloege, Lucas

DOI: 10.5194/bg-2023-160

URN: urn:nbn:de:101:1-2023101204150727069899

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:00 AM CEST

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Heimdal, Thea Hatlen
McKinley, Galen A.
Sutton, Adrienne J.
Fay, Amanda R.
Gloege, Lucas

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Assessing improvements in global ocean pCO<sub>2</sub> machine learning reconstructions with Southern Ocean autonomous sampling

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Other Objects (12)

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CO<sub>2</sub> and hydrography acquired by Autonomous Surface Vehicles from the Atlantic Ocean to the Mediterranean Sea: data correction and validation

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The impact of rising atmospheric CO<sub>2</sub> levels and resulting ocean acidification on the physical (solubility) ocean pump of CO<sub>2</sub>

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