Articles | Volume 18, issue 10
https://doi.org/10.5194/hess-18-4223-2014
https://doi.org/10.5194/hess-18-4223-2014
Research article
 | 
28 Oct 2014
Research article |  | 28 Oct 2014

Coupling a land-surface model with a crop growth model to improve ET flux estimations in the Upper Ganges basin, India

G. M. Tsarouchi, W. Buytaert, and A. Mijic

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Cited articles

Aggarwal, P., Kalra, N., Chander, S., and Pathak, H.: InfoCrop: a dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. I. Model description, Agr. Syst., 89, 1–25, https://doi.org/10.1016/j.agsy.2005.08.001, 2006a. \bibitem[Aggarwal et al.(2006b)Aggarwal, Banerjee, Daryaei,Bhatia, Bala, Rani, Chander, Pathak,and Kalra] Aggarwal2006b Aggarwal, P., Banerjee, B., Daryaei, M. G., Bhatia, A., Bala, A., Rani, S., Chander, S., Pathak, H., and Kalra, N.: InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. II. Performance of the model, Agr. Syst., 89, 47–67, https://doi.org/10.1016/j.agsy.2005.08.003, 2006b.
Agropedia: Agriculture Portal of IIT Kanpur, available at: http://agropedia.iitk.ac.in/content/cropping-system-analysis-and-area-allocation-uttar-pradesh, last access: 19 September 2013.
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.
Bharati, L. and Jayakody, P.: Hydrology of the Upper Ganga river, International Water Management Institute, Colombo, Sri Lanka, 2010.
Blyth, E., Gash, J., Lloyd, A., Pryor, M., Weedon, G. P., and Shuttleworth, J.: Evaluating the JULES land surface model energy fluxes using FLUXNET Data, J. Hydrometeorol., 11, 509–519, 2010.
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