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

Abstract - 1, respectively) but different seasonal rain distributions. Stochastic daily rain and ETref time series were synthesized according to the monthly empirical distributions. This synthesis method does not preserve the monthly and annual rain and ETref distributions. Therefore, we propose different correction methods to match the synthesized and measured time series' annual or monthly statistics. GR fluxes were calculated using the 1D Richards equation for four typical semi-arid soil types, and by prescribing the synthesized rain and ETref as atmospheric conditions. The estimated GR fluxes are sensitive to the synthesis method. However, the ratio between the GR and the total rain does not show the same sensitivity. The effects of the synthesis methods are shown to be the same for both locations, and correction of the monthly mean and SD of the synthesized time series results in the best agreement with independent estimates of the GR. These findings suggest that the assessment of GR under current and future climate conditions depends on the synthesis method used for rain and ETref.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: The effects of rain and evapotranspiration statistics on groundwater recharge estimations for semi-arid environments ; volume:27 ; number:1 ; year:2023 ; pages:289-302 ; extent:14 ; Hydrology and earth system sciences ; 27, Heft 1 (2023), 289-302 (gesamt 14)

Beteiligte, Orts- und Zeitangaben

• Urheber: Turkeltaub, Tuvia ; Bel, Golan

Weitere Informationen

• DOI: 10.5194/hess-27-289-2023
• URN: urn:nbn:de:101:1-2023011905053645630303
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 15.08.2025, 07:31 MESZ