Articles | Volume 14, issue 3
Geosci. Model Dev., 14, 1253–1265, 2021
https://doi.org/10.5194/gmd-14-1253-2021
Geosci. Model Dev., 14, 1253–1265, 2021
https://doi.org/10.5194/gmd-14-1253-2021

Model evaluation paper 08 Mar 2021

Model evaluation paper | 08 Mar 2021

Using the anomaly forcing Community Land Model (CLM 4.5) for crop yield projections

Yaqiong Lu and Xianyu Yang

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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 Mario Ebel on behalf of the Authors (14 Jan 2021)  Author's response
ED: Publish subject to minor revisions (review by editor) (14 Jan 2021) by Christoph Müller
AR by Yaqiong Lu on behalf of the Authors (20 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (21 Jan 2021) by Christoph Müller
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Short summary
Crop growth in land surface models normally requires high-temporal-resolution climate data, but such high-temporal-resolution climate data are not provided by many climate model simulations due to expensive storage, which limits modeling choices if there is an interest in a particular climate simulation that only saved monthly outputs. Our work provides an alternative way to use the monthly climate for crop yield projections. Such an approach could be easily adopted by other crop models.