Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 437–471, 2021
https://doi.org/10.5194/gmd-14-437-2021

Special issue: JULES-crop: a parameterisation of crops in the JULES land...

Special issue: Joint UK Land Environment Simulator (JULES) – configurations,...

Geosci. Model Dev., 14, 437–471, 2021
https://doi.org/10.5194/gmd-14-437-2021
Development and technical paper
25 Jan 2021
Development and technical paper | 25 Jan 2021

Implementation of sequential cropping into JULESvn5.2 land-surface model

Camilla Mathison et al.

Related authors

Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements
Anna B. Harper, Karina E. Williams, Patrick C. McGuire, Maria Carolina Duran Rojas, Debbie Hemming, Anne Verhoef, Chris Huntingford, Lucy Rowland, Toby Marthews, Cleiton Breder Eller, Camilla Mathison, Rodolfo L. B. Nobrega, Nicola Gedney, Pier Luigi Vidale, Fred Otu-Larbi, Divya Pandey, Sebastien Garrigues, Azin Wright, Darren Slevin, Martin G. De Kauwe, Eleanor Blyth, Jonas Ardö, Andrew Black, Damien Bonal, Nina Buchmann, Benoit Burban, Kathrin Fuchs, Agnès de Grandcourt, Ivan Mammarella, Lutz Merbold, Leonardo Montagnani, Yann Nouvellon, Natalia Restrepo-Coupe, and Georg Wohlfahrt
Geosci. Model Dev., 14, 3269–3294, https://doi.org/10.5194/gmd-14-3269-2021,https://doi.org/10.5194/gmd-14-3269-2021, 2021
Short summary
How can the First ISLSCP Field Experiment contribute to present-day efforts to evaluate water stress in JULESv5.0?
Karina E. Williams, Anna B. Harper, Chris Huntingford, Lina M. Mercado, Camilla T. Mathison, Pete D. Falloon, Peter M. Cox, and Joon Kim
Geosci. Model Dev., 12, 3207–3240, https://doi.org/10.5194/gmd-12-3207-2019,https://doi.org/10.5194/gmd-12-3207-2019, 2019
Short summary
Estimating sowing and harvest dates based on the Asian summer monsoon
Camilla Mathison, Chetan Deva, Pete Falloon, and Andrew J. Challinor
Earth Syst. Dynam., 9, 563–592, https://doi.org/10.5194/esd-9-563-2018,https://doi.org/10.5194/esd-9-563-2018, 2018
Short summary
A regional approach to climate adaptation in the Nile Basin
Michael B. Butts, Carlo Buontempo, Jens K. Lørup, Karina Williams, Camilla Mathison, Oluf Z. Jessen, Niels D. Riegels, Paul Glennie, Carol McSweeney, Mark Wilson, Richard Jones, and Abdulkarim H. Seid
Proc. IAHS, 374, 3–7, https://doi.org/10.5194/piahs-374-3-2016,https://doi.org/10.5194/piahs-374-3-2016, 2016
Short summary
South Asia river-flow projections and their implications for water resources
C. Mathison, A. J. Wiltshire, P. Falloon, and A. J. Challinor
Hydrol. Earth Syst. Sci., 19, 4783–4810, https://doi.org/10.5194/hess-19-4783-2015,https://doi.org/10.5194/hess-19-4783-2015, 2015
Short summary

Related subject area

Climate and Earth system modeling
Stable climate simulations using a realistic general circulation model with neural network parameterizations for atmospheric moist physics and radiation processes
Xin Wang, Yilun Han, Wei Xue, Guangwen Yang, and Guang J. Zhang
Geosci. Model Dev., 15, 3923–3940, https://doi.org/10.5194/gmd-15-3923-2022,https://doi.org/10.5194/gmd-15-3923-2022, 2022
Short summary
Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6
Xue Zheng, Qing Li, Tian Zhou, Qi Tang, Luke P. Van Roekel, Jean-Christophe Golaz, Hailong Wang, and Philip Cameron-Smith
Geosci. Model Dev., 15, 3941–3967, https://doi.org/10.5194/gmd-15-3941-2022,https://doi.org/10.5194/gmd-15-3941-2022, 2022
Short summary
Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO – v.1
Francine Schevenhoven and Alberto Carrassi
Geosci. Model Dev., 15, 3831–3844, https://doi.org/10.5194/gmd-15-3831-2022,https://doi.org/10.5194/gmd-15-3831-2022, 2022
Short summary
GREB-ISM v1.0: A coupled ice sheet model for the Globally Resolved Energy Balance model for global simulations on timescales of 100 kyr
Zhiang Xie, Dietmar Dommenget, Felicity S. McCormack, and Andrew N. Mackintosh
Geosci. Model Dev., 15, 3691–3719, https://doi.org/10.5194/gmd-15-3691-2022,https://doi.org/10.5194/gmd-15-3691-2022, 2022
Short summary
A scalability study of the Ice-sheet and Sea-level System Model (ISSM, version 4.18)
Yannic Fischler, Martin Rückamp, Christian Bischof, Vadym Aizinger, Mathieu Morlighem, and Angelika Humbert
Geosci. Model Dev., 15, 3753–3771, https://doi.org/10.5194/gmd-15-3753-2022,https://doi.org/10.5194/gmd-15-3753-2022, 2022
Short summary

Cited articles

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines for computing crop water requirements – FAO Irrigation and drainage paper 56, Food and Agriculture Organization of the United Nations, available at: http://www.fao.org/3/X0490E/x0490e00.htm (last access: June 2019), 1998. a
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description Part 1: Energy and water fluxes, Geosci. Model Dev., 4, 677–699, https://doi.org/10.5194/gmd-4-677-2011, 2011. a
Betts, R. A.: Integrated approaches to climate-crop modelling: needs and challenges, Philos. T. R. Soc. B, 360, 2049–2065, https://doi.org/10.1098/rstb.2005.1739, 2005. a
Bhattacharyya, T., Pal, D., Easter, M., Batjes, N., Milne, E., Gajbhiye, K., Chandran, P., Ray, S., Mandal, C., Paustian, K., Williams, S., Killian, K., Coleman, K., Falloon, P., and Powlson, D.: Modelled soil organic carbon stocks and changes in the Indo-Gangetic Plains, India from 1980 to 2030, Agr. Ecosyst. Environ., 122, 84–94, https://doi.org/10.1016/j.agee.2007.01.010, soil carbon stocks at regional scales, 2007. a, b
Biemans, H., Speelman, L., Ludwig, F., Moors, E., Wiltshire, A., Kumar, P., Gerten, D., and Kabat, P.: Future water resources for food production in five South Asian river basins and potential for adaptation – A modeling study, Sci. Total Environ., 468–469, Supplement, S117–S131, https://doi.org/10.1016/j.scitotenv.2013.05.092, 2013. a
Download
Short summary
Sequential cropping (also known as multiple or double cropping) is a common cropping system, particularly in tropical regions. Typically, land surface models only simulate a single crop per year. To understand how sequential crops influence surface fluxes, we implement sequential cropping in JULES to simulate all the crops grown within a year at a given location in a seamless way. We demonstrate the method using a site in Avignon, four locations in India and a regional run for two Indian states.