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Theoretical and Applied Climatology

, Volume 117, Issue 1–2, pp 343–361 | Cite as

Evaluating climate change effects on runoff by statistical downscaling and hydrological model GR2M

  • Umut OkkanEmail author
  • Okan Fistikoglu
Original Paper

Abstract

The main purpose of this study is to evaluate the impacts of climate change on Izmir-Tahtali freshwater basin, which is located in the Aegean Region of Turkey. For this purpose, a developed strategy involving statistical downscaling and hydrological modeling is illustrated through its application to the basin. Prior to statistical downscaling of precipitation and temperature, the explanatory variables are obtained from National Centers for Environmental Prediction/National Center for Atmospheric Research reanalysis data set. All possible regression approach is used to establish the most parsimonious relationship between precipitation, temperature, and climatic variables. Selected predictors have been used in training of artificial neural networks-based downscaling models and the trained models with the obtained relationships have been operated to produce scenario precipitation and temperature from the simulations of third Generation Coupled Climate Model. Biases from downscaled outputs have been reduced after downscaling process. Finally, the corrected downscaled outputs have been transformed to runoff by means of a monthly parametric hydrological model GR2M to assess the probable impacts of temperature and precipitation changes on runoff. According to the A1B climate scenario results, statistically significant trends are foreseen for precipitation, temperature, and runoff in the study basin.

Keywords

Root Mean Square Error Feed Forward Neural Network Statistical Downscaling Runoff Series Statistical Downscaling Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors feel responsible to thank the reviewers of Theoretical and Applied Climatology and Gul Inan (from Middle East Technical University) for their valuable comments and contributions to the revision of this study.

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Copyright information

© Springer-Verlag Wien 2013

Authors and Affiliations

  1. 1.Department of Civil Engineering, Faculty of Engineering–ArchitectureBalikesir UniversityBalikesirTurkey
  2. 2.Department of Civil Engineering, Faculty of EngineeringDokuz Eylul UniversityIzmirTurkey

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