Rainfall forecasting over a Mediterranean catchment using Empirical Statistical Downscaling techniques

Gader, Khouloud;Gara, Ahlem;Vanclooster, Marnik;Slimani, Mohamed
(2020) 10th International Congress on Environmental Modeling and Software — Location: Brussels, Belgium (14.September.2020)

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Authors
  • Gader, KhouloudNational Agronomic institute of Tunisia (INAT), University of Carthage, Tunisia
    Author
  • Gara, AhlemHigh School of Engineering of Medjez-el-Bab (ESIM), University of Jendouba, Tunisia
    Author
  • Vanclooster, MarnikUCLouvain
    Author
  • Slimani, MohamedNational Agronomic institute of Tunisia (INAT), University of Carthage, Tunisia
    Author
Abstract
Tackling the threats of climate change has become a global challenge. Rainfall in the Mediterranean region is characterized by a large spatiotemporal variability. In this research study, an Empirical Statistical Downscaling (ESD) approach was used to generate regression-based climate projections for the horizon 2100 at the level of six main climate stations in the Medjerda catchment in Tunisia
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Gader, K., Gara, A., Vanclooster, M., & Slimani, M. (2020). Rainfall forecasting over a Mediterranean catchment using Empirical Statistical Downscaling techniques. In Ann van Griesven, Jiri Nossent, Daniel P. Ames Eds (ed.), Book of Abstracts. https://hdl.handle.net/2078.5/240687