SCI, SCI-Exp İndekslerine Giren Dergilerde Yayınlanan Makaleler

Ersoy, Z. B., Fistikoglu, O., & Okkan, U. (2025). Exploring the potential of multi-hydrological model weighting schemes to reduce uncertainty in runoff projections. Water, 17(20), 2919. https://doi.org/10.3390/w17202919 (link)

Ersoy, Z. B., Fistikoglu, O., Okkan, U., & Derin, B. (2025). Convergence and final performances of optimization algorithms for rainfall-runoff model calibration based on the number of function calls. Earth Science Informatics, 18(2), 1-21. https://doi.org/10.1007/s12145-025-01885-y (link) 

Kirdemir, U., Fistikoglu, O. & Okkan, U. (2025). Uncertainties in streamflow projections: a comprehensive examination of variabilities arising from climate and hydrological models in the Tahtali Dam Basin, Turkey. Theoretical and Applied Climatology, 156, 183 https://doi.org/10.1007/s00704-025-05416-z (link)

Okkan, U., Ersoy, Z. B., & Fistikoglu, O. (2024). Internal structure modification of a simple monthly water balance model via incorporation of a machine learning-based nonlinear routing. Journal of Hydroinformatics, 26 (7): 1648–1660.(link)

Nacar, S., Şan, M., Kankal, M., & Okkan, U. (2024). Trends and amount changes of temperature and precipitation under future projections in high–low groups and intra-period for the Eastern Black Sea, the Wettest Basin in Türkiye. Natural Hazards, 120,  9833–9866  (link)

Nacar, S., Şan, M., Kankal, M., & Okkan, U. (2024). Innovative Polygonal Trend Analysis (IPTA) in detecting the seasonal trend behavior of statistically downscaled precipitation for the Eastern Black Sea Basin of Turkey. Urban Water Journal, 21(4), 406–418.  (link)

Okkan, U., Fistikoglu, O., Ersoy, Z. B., & Noori, A. T. (2024). Analyzing the uncertainty of potential evapotranspiration models in drought projections derived for a semi-arid watershed. Theoretical and Applied Climatology, 155, 2329-2346. (link)

Okkan, U., Fistikoglu, O., Ersoy, Z. B., & Noori, A. T. (2023). Investigating adaptive hedging policies for reservoir operation under climate change impacts. Journal of Hydrology, 619, 129286. (link) 

Kirdemir, U., Okkan, U., & Fistikoglu, O. (2022). Projecting aridity from statistically downscaled and bias-corrected variables for the Gediz Basin, Turkey. Journal of Water and Climate Change, 13(8), 3061-3082.(link)

Nacar, S., Kankal, M., & Okkan, U. (2022). Evaluation of the suitability of NCEP/NCAR, ERA-Interim and, ERA5 reanalysis data sets for statistical downscaling in the Eastern Black Sea Basin, Turkey. Meteorology and Atmospheric Physics, 134(2), 39. (link)

Nacar, S., Kankal, M., & Okkan, U. (2022). Doğu Karadeniz Havzası lokal meteorolojik değişkenleri için bir ölçek indirgeme uygulaması ve senaryo esaslı öngörüler. Teknik Dergi, 33(6), 12877-12911. (link)

Okkan, U., Ersoy, Z. B., Kumanlioglu, A. A., & Fistikoglu, O. (2021). Embedding machine learning techniques into a conceptual model to improve monthly runoff simulation: A nested hybrid rainfall-runoff modeling. Journal of Hydrology, 598, 126433. (link)

Okkan, U., & Kirdemir, U. (2020). Towards a hybrid algorithm for the robust calibration of rainfall–runoff models. Journal of Hydroinformatics, 22(4), 876-899. (link)

Okkan, U., & Kirdemir, U. (2020). Locally tuned hybridized particle swarm optimization for the calibration of the nonlinear Muskingum flood routing model. Journal of Water and Climate Change, 11(S1), 343-358. (link)

Okkan, U., & Kiymaz, H. (2020). Questioning of empirically derived and locally calibrated potential evapotranspiration equations for a lumped water balance model. Water Supply, 20(3), 1141-1156. (link)

Serbeş, Z. A., Yildirim, T., Mengu, G. P., Akkuzu, E., Asik, S., & Okkan, U. (2019). Temperature and precipitation projections under AR4 scenarios: The case of Kucuk Menderes basin, Turkey. Journal of Environmental Protection and Ecology, 20(1), 44-51. (link)

Okkan, U., & Kirdemir, U. (2018). Investigation of the behavior of an agricultural-operated dam reservoir under RCP scenarios of AR5-IPCC. Water Resources Management, 32, 2847-2866. (link)

Okkan, U., & Kirdemir, U. (2016). Downscaling of monthly precipitation using CMIP5 climate models operated under RCPs. Meteorological Applications, 23(3), 514-528. (link)

Okkan, U., & Karakan, E. (2016). İklim değişikliğinin İkizcetepeler Barajı akımlarına etkilerinin modellenmesi: 2015-2030 projeksiyonu. Teknik Dergi, 27(2), 7379-7401. (link)

Yilmaz, N., Ileri, E., Atmanlı, A., Deniz Karaoglan, A., Okkan, U., & Sureyya Kocak, M. (2016). Predicting the engine performance and exhaust emissions of a diesel engine fueled with hazelnut oil methyl ester: the performance comparison of response surface methodology and LSSVM. Journal of Energy Resources Technology, 138(5), 052206. (link)

Okkan, U., & Inan, G. (2015). Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs, and emission scenarios. International Journal of Climatology, 35(11), 3274-3295. (link)

Okkan, U., & Inan, G. (2015). Bayesian learning and relevance vector machines approach for downscaling of monthly precipitation. Journal of Hydrologic Engineering, 20(4), 04014051. (link)

Okkan, U. (2015). Assessing the effects of climate change on monthly precipitation: proposing of a downscaling strategy through a case study in Turkey. KSCE Journal of Civil Engineering, 19, 1150-1156. (link)

Okkan, U., & Inan, G. (2015) Book review of “Simulating Nature: a Philosophical Study of Computer-simulation Uncertainties and Their Role in Climate Science and Policy Advice by A. C. Petersen” Journal of the Royal Statistical Society: Series A (Statistics in Society), 178(4), 1099-1110.  (link)

Okkan, U., Serbes, Z. A., & Samui, P. (2014). Relevance vector machines approach for long-term flow prediction. Neural Computing and Applications, 25, 1393-1405. (link)

Okkan, U., & Fistikoglu, O. (2014). Evaluating climate change effects on runoff by statistical downscaling and hydrological model GR2M. Theoretical and Applied Climatology, 117, 343-361. (link)

Okkan, U., & Serbes, Z. A. (2013). The combined use of wavelet transform and black box models in reservoir inflow modeling. Journal of Hydrology and Hydromechanics, 61(2), 112-119. (link)

Okkan, U., & Serbes, Z. A. (2012). Rainfall–runoff modeling using least squares support vector machines. Environmetrics, 23(6), 549-564. (link)

Okkan, U. (2012). Wavelet neural network model for reservoir inflow prediction. Scientia Iranica, 19(6), 1445-1455. (link)

Okkan, U., & Dalkılıç, Y. (2012). Radyal tabanlı yapay sinir ağları ile Kemer Barajı aylık akımlarının modellenmesi. Teknik Dergi, 23(2), 5957-5966. (link)

Okkan, U., & Pijush Samui, P. S. (2012). Modeling of watershed runoff using discrete wavelet transform and support vector machines. Fresenius Environmental Bulletin,  21(12b), 3971-3986. (link) 

Okkan, U. (2012). Performance of least squares support vector machine for monthly reservoir inflow prediction. Fresenius Environmental Bulletin, 21(3), 615-625.(link)

Fistikoglu, O., & Okkan, U. (2011). Statistical downscaling of monthly precipitation using NCEP/NCAR reanalysis data for Tahtali River Basin in Turkey. Journal of Hydrologic Engineering, 16(2), 157-164. (link)

Okkan, U., & Dalkılıç, Y. (2011). Reservoir inflows modeling with artificial neural networks: The case of Kemer Dam in Turkey. Fresenius Environmental Bulletin, 20(12), 3110-3119. (link)