Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data

Reddy, Kangari Narender; Baidya Roy, Somnath; Rabin, Sam S.; Lombardozzi, Danica L.; Varma, Gudimetla Venkateswara; Biswas, Ruchira; Naik, Devavat Chiru

doi:https://doi.org/10.5194/gmd-18-763-2025

Articles | Volume 18, issue 3

https://doi.org/10.5194/gmd-18-763-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-763-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 3

Development and technical paper

|

10 Feb 2025

Development and technical paper |

| 10 Feb 2025

Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data

Kangari Narender Reddy, Somnath Baidya Roy, Sam S. Rabin, Danica L. Lombardozzi, Gudimetla Venkateswara Varma, Ruchira Biswas, and Devavat Chiru Naik

Supplement

https://doi.org/10.5194/gmd-18-763-2025-supplement

Data sets

KNR8070/CLM5_IndianCrop_improvements: v1.1 Narender Reddy et al. https://doi.org/10.5281/zenodo.14040383

Indian cereal crops (wheat and rice) phenology and agricultural management data across Indian croplands from 1960’s to 2020 G. V. Varma et al. https://doi.org/10.1594/PANGAEA.964634

Model code and software

KNR8070/CLM5_IndianCrop_improvements: v1.1 Narender Reddy et al. https://doi.org/10.5281/zenodo.14040383

Short summary

The study aimed to improve the representation of wheat and rice in a land model for the Indian region. The modified model performed significantly better than the default model in simulating crop phenology, yield, and carbon, water, and energy fluxes compared to observations. The study highlights the need for global land models to use region-specific crop parameters for accurately simulating vegetation processes and land surface processes.