Articles | Volume 27, issue 1
https://doi.org/10.5194/hess-27-289-2023
https://doi.org/10.5194/hess-27-289-2023
Research article
 | 
12 Jan 2023
Research article |  | 12 Jan 2023

The effects of rain and evapotranspiration statistics on groundwater recharge estimations for semi-arid environments

Tuvia Turkeltaub and Golan Bel

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Cited articles

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Baram, S., Kurtzman, D., and Dahan, O.: Water percolation through a clayey vadose zone, J. Hydrol., 424–425, 165–171, https://doi.org/10.1016/j.jhydrol.2011.12.040, 2012. a
Barron, O. V., Crosbie, R. S., Dawes, W. R., Charles, S. P., Pickett, T., and Donn, M. J.: Climatic controls on diffuse groundwater recharge across Australia, Hydrol. Earth Syst. Sci., 16, 4557–4570, https://doi.org/10.5194/hess-16-4557-2012, 2012. a
Batalha, M. S., Barbosa, M. C., Faybishenko, B., and Van Genuchten, M. T.: Effect of temporal averaging of meteorological data on predictions of groundwater recharge, J. Hydrol. Hydromech., 66, 143–152, https://doi.org/10.1515/johh-2017-0051, 2018. a
Burton, A., Kilsby, C. G., Fowler, H. J., Cowpertwait, P. S., and O'Connell, P. E.: RainSim: A spatial-temporal stochastic rainfall modelling system, Environ. Model. Softw., 23, 1356–1369, https://doi.org/10.1016/j.envsoft.2008.04.003, 2008. a
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Short summary
Groundwater is an essential resource affected by climate conditions and anthropogenic activities. Estimations of groundwater recharge under current and future climate conditions require long-term climate records that are scarce. Different methods to synthesize climate data, based on observations, are used to estimate groundwater recharge. In terms of groundwater recharge estimation, the best synthesis method is based on the daily statistics corrected to match the observed monthly statistics.
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