A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle ; volume:9 ; number:9 ; year:2016 ; pages:3321-3346
Geoscientific model development ; 9, Heft 9 (2016), 3321-3346

Creator: Peylin, Philippe
Bacour, Cédric
MacBean, Natasha
Leonard, Sébastien
Rayner, Peter
Kuppel, Sylvain
Koffi, Ernest
Kane, Abdou
Maignan, Fabienne
Chevallier, Frédéric
Ciais, Philippe
Prunet, Pascal

DOI: 10.5194/gmd-9-3321-2016

URN: urn:nbn:de:101:1-201711069783

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

Last update: 15.08.2025, 7:20 AM CEST

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Associated

Peylin, Philippe
Bacour, Cédric
MacBean, Natasha
Leonard, Sébastien
Rayner, Peter
Kuppel, Sylvain
Koffi, Ernest
Kane, Abdou
Maignan, Fabienne
Chevallier, Frédéric
Ciais, Philippe
Prunet, Pascal

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A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle

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Other Objects (12)

The Inorganic Carbon Cycle

Using Free Air CO<sub>2</sub> Enrichment data to constrain land surface model projections of the terrestrial carbon cycle

Consistent assimilation of multiple data streams in a carbon cycle data assimilation system

Quantifying the model structural error in carbon cycle data assimilation systems

Limiting the parameter space in the Carbon Cycle Data Assimilation System (CCDAS)

Leveraging 35 years of Pinus taeda research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments

Global carbon cycle and climate change

Freshwater ecosystems and the carbon cycle

Deep carbon cycle through five reactions

Africa and the global carbon cycle

An isopycnic ocean carbon cycle model

Model data fusion for terrestrial biosphere models with carbon and water cycle observations

The Inorganic Carbon Cycle

Using Free Air CO<sub>2</sub> Enrichment data to constrain land surface model projections of the terrestrial carbon cycle

Consistent assimilation of multiple data streams in a carbon cycle data assimilation system

Quantifying the model structural error in carbon cycle data assimilation systems

Limiting the parameter space in the Carbon Cycle Data Assimilation System (CCDAS)

Leveraging 35 years of Pinus taeda research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments

Global carbon cycle and climate change

Freshwater ecosystems and the carbon cycle

Deep carbon cycle through five reactions

Africa and the global carbon cycle

An isopycnic ocean carbon cycle model

Model data fusion for terrestrial biosphere models with carbon and water cycle observations

The Inorganic Carbon Cycle

Using Free Air CO<sub>2</sub> Enrichment data to constrain land surface model projections of the terrestrial carbon cycle

Consistent assimilation of multiple data streams in a carbon cycle data assimilation system

Quantifying the model structural error in carbon cycle data assimilation systems

Limiting the parameter space in the Carbon Cycle Data Assimilation System (CCDAS)

Leveraging 35 years of Pinus taeda research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments

Global carbon cycle and climate change

Freshwater ecosystems and the carbon cycle

Deep carbon cycle through five reactions

Africa and the global carbon cycle

An isopycnic ocean carbon cycle model

Model data fusion for terrestrial biosphere models with carbon and water cycle observations

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