Articles | Volume 9, issue 10
Geosci. Model Dev., 9, 3569–3588, 2016
https://doi.org/10.5194/gmd-9-3569-2016

Special issue: Data assimilation in carbon/biogeochemical cycles: consistent...

Geosci. Model Dev., 9, 3569–3588, 2016
https://doi.org/10.5194/gmd-9-3569-2016

Methods for assessment of models 04 Oct 2016

Methods for assessment of models | 04 Oct 2016

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

Natasha MacBean et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Natasha MacBean on behalf of the Authors (25 Aug 2016)  Author's response    Manuscript
ED: Publish as is (05 Sep 2016) by Carlos Sierra
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Short summary
Model projections of the response of the terrestrial biosphere to anthropogenic emissions are uncertain, in part due to unknown fixed parameters in a model. Data assimilation can address this by using observations to optimise these parameter values. Using multiple types of data is beneficial for constraining different model processes, but it can also pose challenges in a DA context. This paper demonstrates and discusses the issues involved using toy models and examples from existing literature.