Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2175-2018
https://doi.org/10.5194/gmd-11-2175-2018
Model description paper
 | 
13 Jun 2018
Model description paper |  | 13 Jun 2018

IPA (v1): a framework for agent-based modelling of soil water movement

Benjamin Mewes and Andreas H. Schumann

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Cited articles

Ali, S., Islam, A., Mishra, P. K., and Sikka, A. K.: Green-Ampt approximations: A comprehensive analysis, J. Hydrol., 535, 340–355, https://doi.org/10.1016/j.jhydrol.2016.01.065, 2016. 
Bithell, M. and Brasington, J.: Coupling agent-based models of subsistence farming with individual-based forest models and dynamic models of water distribution, Environ. Model. Softw., 24, 173–190, https://doi.org/10.1016/j.envsoft.2008.06.016, 2009. 
Blaschke, T., Hay, G. J., Kelly, M., Lang, S., Hofmann, P., Addink, E., Queiroz Feito, R., van der Meer, F., van der Werff, H., van Coillie, F., and Tiede, D.: Geographic Object-Based Image Analysis – Towards a new paradigm, ISPRS J. Photogramm., 87, 180–191, https://doi.org/10.1016/j.isprsjprs.2013.09.014, 2013. 
Boulaire, F., Utting, M., and Drogemuller, R.: Dynamic agent composition for large-scale agent-based models, in: Complex Adaptive Systems Modeling, 3, 1–23, https://doi.org/10.1186/s40294-015-0007-2, 2015. 
Bouziotas, D. and Ertsen, M.: Socio-hydrology from the bottom up: A template for agent-based modeling in irrigation systems, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-107, 2017.