Observation-based sowing dates and cultivars significantly affect yield and irrigation for some crops in the Community Land Model (CLM5)

Rabin, Sam S.; Sacks, William J.; Lombardozzi, Danica L.; Xia, Lili; Robock, Alan

doi:https://doi.org/10.5194/gmd-16-7253-2023

Articles | Volume 16, issue 24

https://doi.org/10.5194/gmd-16-7253-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-7253-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 24

Model evaluation paper

|

18 Dec 2023

Model evaluation paper |

| 18 Dec 2023

Observation-based sowing dates and cultivars significantly affect yield and irrigation for some crops in the Community Land Model (CLM5)

Sam S. Rabin, William J. Sacks, Danica L. Lombardozzi, Lili Xia, and Alan Robock

Supplement

https://doi.org/10.5194/gmd-16-7253-2023-supplement

Data sets

Model inputs and outputs for: Observation-based sowing dates and cultivars significantly affect yield and irrigation for some crops in the Community Land Model (CLM5) S. S. Rabin, W. J. Sacks, D. L. Lombardozzi, L. Xia, and A. Robock https://doi.org/10.5281/zenodo.7754247

Model code and software

CLM code used for 1850–1957 period and GDD-Generating run Sam S. Rabin, CTSM team, and contributors https://doi.org/10.5281/zenodo.7724212

CLM code used for spinup CTSM team and contributors https://doi.org/10.5281/zenodo.7724294

CLM code used for experimental runs Sam S. Rabin, CTSM team, and contributors https://doi.org/10.5281/zenodo.7724225

samsrabin/CTSM_cropcals_hist: v1.0.1 (v1.0.1) Sam Rabin https://doi.org/10.5281/zenodo.7758123

Short summary

Climate models can help us simulate how the agricultural system will be affected by and respond to environmental change, but to be trustworthy they must realistically reproduce historical patterns. When farmers plant their crops and what varieties they choose will be important aspects of future adaptation. Here, we improve the crop component of a global model to better simulate observed growing seasons and examine the impacts on simulated crop yields and irrigation demand.