Articles | Volume 15, issue 13
https://doi.org/10.5194/gmd-15-5167-2022
https://doi.org/10.5194/gmd-15-5167-2022
Model description paper
 | 
06 Jul 2022
Model description paper |  | 06 Jul 2022

CLM5-FruitTree: a new sub-model for deciduous fruit trees in the Community Land Model (CLM5)

Olga Dombrowski, Cosimo Brogi, Harrie-Jan Hendricks Franssen, Damiano Zanotelli, and Heye Bogena

Related authors

Feasibility of irrigation monitoring with cosmic-ray neutron sensors
Cosimo Brogi, Heye Reemt Bogena, Markus Köhli, Johan Alexander Huisman, Harrie-Jan Hendricks Franssen, and Olga Dombrowski
Geosci. Instrum. Method. Data Syst., 11, 451–469, https://doi.org/10.5194/gi-11-451-2022,https://doi.org/10.5194/gi-11-451-2022, 2022
Short summary

Related subject area

Biogeosciences
Emulating grid-based forest carbon dynamics using machine learning: an LPJ-GUESS v4.1.1 application
Carolina Natel, David Martín Belda, Peter Anthoni, Neele Haß, Sam Rabin, and Almut Arneth
Geosci. Model Dev., 18, 4317–4333, https://doi.org/10.5194/gmd-18-4317-2025,https://doi.org/10.5194/gmd-18-4317-2025, 2025
Short summary
ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model
Ye Liu, Huilin Huang, Sing-Chun Wang, Tao Zhang, Donghui Xu, and Yang Chen
Geosci. Model Dev., 18, 4103–4117, https://doi.org/10.5194/gmd-18-4103-2025,https://doi.org/10.5194/gmd-18-4103-2025, 2025
Short summary
Development and assessment of the physical–biogeochemical ocean regional model in the Northwest Pacific: NPRT v1.0 (ROMS v3.9–TOPAZ v2.0)
Daehyuk Kim, Hyun-Chae Jung, Jae-Hong Moon, and Na-Hyeon Lee
Geosci. Model Dev., 18, 3941–3964, https://doi.org/10.5194/gmd-18-3941-2025,https://doi.org/10.5194/gmd-18-3941-2025, 2025
Short summary
Estimation of above- and below-ground ecosystem parameters for DVM-DOS-TEM v0.7.0 using MADS v1.7.3
Elchin E. Jafarov, Hélène Genet, Velimir V. Vesselinov, Valeria Briones, Aiza Kabeer, Andrew L. Mullen, Benjamin Maglio, Tobey Carman, Ruth Rutter, Joy Clein, Chu-Chun Chang, Dogukan Teber, Trevor Smith, Joshua M. Rady, Christina Schädel, Jennifer D. Watts, Brendan M. Rogers, and Susan M. Natali
Geosci. Model Dev., 18, 3857–3875, https://doi.org/10.5194/gmd-18-3857-2025,https://doi.org/10.5194/gmd-18-3857-2025, 2025
Short summary
Alquimia v1.0: a generic interface to biogeochemical codes – a tool for interoperable development, prototyping and benchmarking for multiphysics simulators
Sergi Molins, Benjamin J. Andre, Jeffrey N. Johnson, Glenn E. Hammond, Benjamin N. Sulman, Konstantin Lipnikov, Marcus S. Day, James J. Beisman, Daniil Svyatsky, Hang Deng, Peter C. Lichtner, Carl I. Steefel, and J. David Moulton
Geosci. Model Dev., 18, 3241–3263, https://doi.org/10.5194/gmd-18-3241-2025,https://doi.org/10.5194/gmd-18-3241-2025, 2025
Short summary

Cited articles

Aguilera, E., Guzmán, G., and Alonso, A.: Greenhouse gas emissions from conventional and organic cropping systems in Spain. II. Fruit tree orchards, Agron. Sustain. Dev., 35, 725–737, https://doi.org/10.1007/s13593-014-0265-y, 2015. 
Allen, M., Prusinkiewicz, P., and DeJong, T.: Using L-systems for modeling source–sink interactions, architecture and physiology of growing trees: the L-PEACH model, New Phytol., 166, 869–880, https://doi.org/10.1111/j.1469-8137.2005.01348.x, 2005. 
Anderson, J., Richardson, E., and Kesner, C.: Validation of chill unit and flower bud phenology models for “Montmorency” sour cherry, I International Symposium on Computer Modelling in Fruit Research and Orchard Management, Hohenheim, Germany, 1 May 1986, Acta Hortic., 184, 71–78, https://doi.org/10.17660/ActaHortic.1986.184.7, 1986. 
Atay, A. N., Koyuncu, F., and Atay, E.: Relative susceptibility of selected apple cultivars to alternate bearing, Journal of Biological and Environmental Sciences, 7, 81–86, 2013. 
Atkin, O. K., Bloomfield, K. J., Reich, P. B., Tjoelker, M. G., Asner, G. P., Bonal, D., Bönisch, G., Bradford, M. G., Cernusak, L. A., and Cosio, E. G.: Global variability in leaf respiration in relation to climate, plant functional types and leaf traits, New Phytol., 206, 614–636, https://doi.org/10.1111/nph.13253, 2015. 
Download
Short summary
Soil carbon storage and food production of fruit orchards will be influenced by climate change. However, they lack representation in models that study such processes. We developed and tested a new sub-model, CLM5-FruitTree, that describes growth, biomass distribution, and management practices in orchards. The model satisfactorily predicted yield and exchange of carbon, energy, and water in an apple orchard and can be used to study land surface processes in fruit orchards at different scales.
Share