Articles | Volume 11, issue 12
https://doi.org/10.5194/gmd-11-4933-2018
https://doi.org/10.5194/gmd-11-4933-2018
Development and technical paper
 | 
06 Dec 2018
Development and technical paper |  | 06 Dec 2018

V2Karst V1.1: a parsimonious large-scale integrated vegetation–recharge model to simulate the impact of climate and land cover change in karst regions

Fanny Sarrazin, Andreas Hartmann, Francesca Pianosi, Rafael Rosolem, and Thorsten Wagener

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Cited articles

Abramowitz, G., Leuning, R., Clark, M., and Pitman, A.: Evaluating the performance of land surface Models, J. Clim., 21, 5468–5481, https://doi.org/10.1175/2008JCLI2378.1, 2008. 
Alcalá, F. J., Cantón, Y., Contreras, S., Were, A., Serrano-Ortiz, P., Puigdefábregas, J., Solé-Benet, A., Custodio, E., and Domingo, F.: Diffuse and concentrated recharge evaluation using physical and tracer techniques: results from a semiarid carbonate massif aquifer in southeastern Spain, Environ. Earth Sci., 62, 541–557, https://doi.org/10.1007/s12665-010-0546-y, 2011. 
Allen, R. G., Pereira, L. S., Raes, D. and Smith, M.: Crop evapotranspiration: Guidelines for computing crop requirements, FAO Irrigation and Drainage Paper 56, Food and Agriculture Organization (FAO), Rome, Italy, 1998. 
Allen, R. G., Pruitt, W. O., Wright, J. L., Howell, T. A., Ventura, F., Snyder, R., Itenfisu, D., Steduto, P., Berengena, J., and Yrisarry, J. B.: A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method, Agric. Water Manag., 81, 1–22, https://doi.org/10.1016/j.agwat.2005.03.007, 2006. 
Arbel, Y., Greenbaum, N., Lange, J., and Inbar, M.: Infiltration processes and flow rates in developed karst vadose zone using tracers in cave drips, Earth Surf. Process. Landforms, 35, 1682–1693, https://doi.org/10.1002/esp.2010, 2010. 
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Short summary
We propose the first large-scale vegetation–recharge model for karst regions (V2Karst), which enables the analysis of the impact of changes in climate and land cover on karst groundwater recharge. We demonstrate the plausibility of V2Karst simulations against observations at FLUXNET sites and of controlling modelled processes using sensitivity analysis. We perform virtual experiments to further test the model and gain insight into its sensitivity to precipitation pattern and vegetation cover.