Dr. Mehmet Cuneyd Demirel

Associate Professor
Istanbul Technical University, Turkiye


Highest Degree
PostDoc. in Hydrology from Portland State University, USA

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Area of Interest:

Environmental Sciences
Hydrology
Water and Environment Science
Water Compositions
Water Management

Selected Publications

  1. Koch, J., M.C. Demirel and S. Stisen, 2018. The SPAtial EFficiency metric (SPAEF): Multiple-component evaluation of spatial patterns for optimization of hydrological models. Geoscient. Model Dev., 11: 1873-1886.
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  2. Demirel, M.C., J. Mai, G.M. Gonzalez, J. Koch, L. Samaniego and S. Stisen, 2018. Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model. Hydrol. Earth Syst. Sci., 22: 1299-1315.
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  3. Demirel, M., J. Koch, G. Mendiguren and S. Stisen, 2018. Spatial pattern oriented multicriteria sensitivity analysis of a distributed hydrologic model. Water, Vol. 10. 10.3390/w10091188.
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  4. Tongal, H., M.C. Demirel and H. Moradkhani, 2017. Analysis of dam-induced cyclic patterns on river flow dynamics. Hydrol. Sci. J., 62: 626-641.
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  5. Ahmadalipour, A., H. Moradkhani and M.C. Demirel, 2017. A comparative assessment of projected meteorological and hydrological droughts: Elucidating the role of temperature. J. Hydrol., 553: 785-797.
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  6. Demirel, M.C. and H. Moradkhani, 2016. Assessing the impact of CMIP5 climate multi-modeling on estimating the precipitation seasonality and timing. Climatic Change, 135: 357-372.
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  7. Demirel, M.C., M.J. Booij and A.Y. Hoekstra, 2015. The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models. Hydrol. Earth Syst. Sci., 19: 275-291.
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  8. Demirel, M.C., M.J. Booij and A.Y. Hoekstra, 2013. Impacts of climate change on the seasonality of low flows in 134 catchments in the River Rhine basin using an ensemble of bias-corrected regional climate simulations. Hydrol. Earth Syst. Sci., 17: 4241-4257.
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  9. Demirel, M.C., M.J. Booij and A.Y. Hoekstra, 2013. Identification of appropriate lags and temporal resolutions for low flow indicators in the River Rhine to forecast low flows with different lead times. Hydrol. Processes, 27: 2742-2758.
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  10. Demirel, M.C., M.J. Booij and A.Y. Hoekstra, 2013. Effect of different uncertainty sources on the skill of 10 day ensemble low flow forecasts for two hydrological models. Water Resour. Res., 49: 4035-4053.
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  11. Demirel, M.C., E. Kahya and D. Rivera, 2009. Discussion of “Hydrologic regionalization of watersheds in Turkey” by Sabahattin Isik and Vijay P. Singh. J. Hydrol. Eng., 14: 767-768.
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  12. Demirel, M.C., A. Venancio and E. Kahya, 2009. Flow forecast by SWAT model and ANN in Pracana basin, Portugal. Adv. Eng. Software, 40: 467-473.
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  13. Demirel, M.C., E. Kahya and D. Rivera, 2008. Discussion of clustering on dissimilarity representations for detecting mislabelled seismic signals at Nevado Del Ruiz Volcano by Mauricio Orozco-Alzate and César Germán Castellanos-Domínguez. Earth Sci. Res. J., 12: 265-267.
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  14. Demirel, M.C., M. Karaca, F. Martins and E.A. Kahya, 2006. Comparison of low flow clustering methods: Streamflow grouping. Geophys. Res. Abstracts, Vol. 8. .
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