Articles | Volume 14, issue 14
https://doi.org/10.5194/bg-14-3487-2017
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, David Kraus, Ralf Kiese, and Lutz Breuer

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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
AR by Tobias Houska on behalf of the Authors (28 Jun 2017)
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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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