Articles | Volume 14, issue 14
Biogeosciences, 14, 3487–3508, 2017
https://doi.org/10.5194/bg-14-3487-2017
Biogeosciences, 14, 3487–3508, 2017
https://doi.org/10.5194/bg-14-3487-2017

Research article 24 Jul 2017

Research article | 24 Jul 2017

Constraining a complex biogeochemical model for CO2 and N2O emission simulations from various land uses by model–data fusion

Tobias Houska et al.

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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
ED: Reconsider after major revisions (07 Jun 2017) by Sönke Zaehle
AR by Tobias Houska on behalf of the Authors (08 Jun 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (13 Jun 2017) by Sönke Zaehle
AR by Tobias Houska on behalf of the Authors (22 Jun 2017)  Author's response    Manuscript
ED: Publish as is (28 Jun 2017) by Sönke Zaehle
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Short summary
CO2 and N2O are two prominent GHGs contributing to global warming. We combined measurement and modelling to quantify GHG emissions from adjacent arable, forest and grassland sites in Germany. Measured emissions reveal seasonal patterns and management effects like fertilizer application, tillage, harvest and grazing. Modelling helps to estimate the magnitude and uncertainty of not measurable C and N fluxes and indicates missing input source, e.g. nitrate uptake from groundwater.
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