000279648 001__ 279648 000279648 005__ 20220930130053.0 000279648 0247_ $$2doi$$a10.1016/j.scitotenv.2015.07.036 000279648 0247_ $$2ISSN$$a0048-9697 000279648 0247_ $$2ISSN$$a1879-1026 000279648 0247_ $$2WOS$$aWOS:000367638000005 000279648 037__ $$aFZJ-2015-07530 000279648 082__ $$a333.7 000279648 1001_ $$0P:(DE-Juel1)141774$$aHerrmann, Frank$$b0$$eCorresponding author$$ufzj 000279648 245__ $$aSimulation of future groundwater recharge using a climate model ensemble and SAR-image based soil parameter distributions — A case study in an intensively-used Mediterranean catchment 000279648 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2016 000279648 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1450084650_20497 000279648 3367_ $$2DataCite$$aOutput Types/Journal article 000279648 3367_ $$00$$2EndNote$$aJournal Article 000279648 3367_ $$2BibTeX$$aARTICLE 000279648 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000279648 3367_ $$2DRIVER$$aarticle 000279648 520__ $$aWe used observed climate data, an ensemble of four GCM–RCM combinations (global and regional climate models) and the water balance model mGROWA to estimate present and future groundwater recharge for the intensively-used Thau lagoon catchment in southern France. In addition to a highly resolved soil map, soil moisture distributions obtained from SAR-images (Synthetic Aperture Radar) were used to derive the spatial distribution of soil parameters covering the full simulation domain. Doing so helped us to assess the impact of different soil parameter sources on the modelled groundwater recharge levels. Groundwater recharge was simulated in monthly time steps using the ensemble approach and analysed in its spatial and temporal variability. The soil parameters originating from both sources led to very similar groundwater recharge rates, proving that soil parameters derived from SAR images may replace traditionally used soil maps in regions where soil maps are sparse or missing. Additionally, we showed that the variance in different GCM–RCMs influences the projected magnitude of future groundwater recharge change significantly more than the variance in the soil parameter distributions derived from the two different sources. For the period between 1950 and 2100, climate change impacts based on the climate model ensemble indicated that overall groundwater recharge will possibly show a low to moderate decrease in the Thau catchment. 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