Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 9
Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-3905-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-13-3905-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 9
Development and technical paper
 | 
01 Sep 2020
Development and technical paper |  | 01 Sep 2020

The importance of management information and soil moisture representation for simulating tillage effects on N2O emissions in LPJmL5.0-tillage

Femke Lutz, Stephen Del Grosso, Stephen Ogle, Stephen Williams, Sara Minoli, Susanne Rolinski, Jens Heinke, Jetse J. Stoorvogel, and Christoph Müller

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Femke Lutz on behalf of the Authors (15 Jun 2020)  Author's response   Manuscript 
ED: Publish subject to technical corrections (02 Jul 2020) by Leena Järvi
AR by Femke Lutz on behalf of the Authors (09 Jul 2020)  Manuscript 
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Short summary
Previous findings have shown deviations between the LPJmL5.0-tillage model and results from meta-analyses on global estimates of tillage effects on N2O emissions. By comparing model results with observational data of four experimental sites and outputs from field-scale DayCent model simulations, we show that advancing information on agricultural management, as well as the representation of soil moisture dynamics, improves LPJmL5.0-tillage and the estimates of tillage effects on N2O emissions.
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Special issue
The Lund–Potsdam–Jena managed Land (LPJmL) dynamic...