Articles | Volume 10, issue 5
https://doi.org/10.5194/gmd-10-1873-2017
https://doi.org/10.5194/gmd-10-1873-2017
Development and technical paper
 | 
05 May 2017
Development and technical paper |  | 05 May 2017

Representing winter wheat in the Community Land Model (version 4.5)

Yaqiong Lu, Ian N. Williams, Justin E. Bagley, Margaret S. Torn, and Lara M. Kueppers

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yaqiong Lu on behalf of the Authors (02 Mar 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (03 Mar 2017) by Christoph Müller
RR by Anonymous Referee #2 (17 Mar 2017)
RR by Anonymous Referee #3 (21 Mar 2017)
ED: Publish subject to minor revisions (Editor review) (21 Mar 2017) by Christoph Müller
AR by Yaqiong Lu on behalf of the Authors (22 Mar 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (27 Mar 2017) by Christoph Müller
AR by Anna Wenzel on behalf of the Authors (28 Mar 2017)  Author's response
ED: Publish as is (28 Mar 2017) by Christoph Müller
Download
Short summary
Predicting winter wheat growth in the future climate scenarios is crucial for food security. We developed a winter wheat model in the Community Land Model to better predict winter wheat growth and grain production at multiple temporal and spatial scales. We validated the model and found that the new winter wheat model improved the prediction of winter wheat growth related variables during the spring growing season but underestimated yield in regions with historically greater yields.