Articles | Volume 18, issue 3
https://doi.org/10.5194/gmd-18-763-2025
https://doi.org/10.5194/gmd-18-763-2025
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

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Cited articles

Asseng, S., Cammarano, D., Basso, B., Chung, U., Alderman, P. D., Sonder, K., Reynolds, M., and Lobell, D. B.: Hot spots of wheat yield decline with rising temperatures, Glob. Change Biol., 23, 2464–2472, https://doi.org/10.1111/gcb.13530, 2017. 
Bal, S. K., Sattar, A., Nidhi., Chandran, M. A. S., Subba Rao, A. V. M., Manikandan. N., Banerjee. S., Choudhary. J. L., More. V. G., Singh. C. B., Sandhu, S. S., and Singh, V. K.: Critical weather limits for paddy rice under diverse ecosystems of India, Front. Plant Sci., 14, 1226064, https://doi.org/10.3389/fpls.2023.1226064, 2023. 
Biemans, H., Siderius, C., Mishra, A., and Ahmad, B.: Crop-specific seasonal estimates of irrigation-water demand in South Asia, Hydrol. Earth Syst. Sci., 20, 1971–1982, https://doi.org/10.5194/hess-20-1971-2016, 2016. 
Blyth, E. M., Arora, V. K., Clark, D. B., Dadson, S. J., de Kauwe, M. G., Lawrence, D. M., Melton, J. R., Pongratz, J., Turton, R. H., Yoshimura, K., and Yuan, H.: Advances in Land Surface Modelling, Curr. Clim. Change Rep., 7, 45–71, https://doi.org/10.1007/S40641-021-00171-5, 2021. 
Boas, T., Bogena, H., Grünwald, T., Heinesch, B., Ryu, D., Schmidt, M., Vereecken, H., Western, A., and Hendricks Franssen, H.-J.: Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0, Geosci. Model Dev., 14, 573–601, https://doi.org/10.5194/gmd-14-573-2021, 2021. 
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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.
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