Quantification of predictive uncertainty in climate change context using airGRpackages: case of Medjerda catchment, Tunisia

Gader, Khouloud;Gara, Ahlem;Vanclooster, Marnik;Slimani, Mohamed
(2020) 3rd Conference of the Arabian Journal of Geosciences (CAJG) (2.November.2020)

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Authors
  • Gader, KhouloudLaboratory of Research, Sciences and Technologies of the Waters, University of Carthage, Tunis, Tunisia
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  • Gara, AhlemGDRES, High School of Engineering of Medjez el Bab, University of Jendouba, Tunisa
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  • Vanclooster, Marnikorcid-logoUCLouvain
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  • Slimani, MohamedLaboratory of Research, Sciences and Technologies of the Waters, University of Carthage, Tunis, Tunisia
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Abstract
This study aimed to quantify the applicability and the robustness of the conceptual hydrological model GR2m, developed under the AirGR package available for R language in the Medjerda catchment in Tunisia under changing climate conditions.
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Gader, K., Gara, A., Vanclooster, M., & Slimani, M. (2020). Quantification of predictive uncertainty in climate change context using airGRpackages: case of Medjerda catchment, Tunisia. Webinaire, 814. https://hdl.handle.net/2078.5/118052 (Original work published 2020)