Kayhanlar, Göknur Elif YarbaşıMartı, Ali İhsan2024-12-112024-12-112023978-605-9678-36-0https://hdl.handle.net/20.500.13091/9761The Southern Oscillation is defined as an sporadic ocean-atmosphere event that affects the climatic characteristics of many regions around the world. The decrease or increase in the values of climatic characteristics over time is called trend. Examining the trend in hydrological and meteorological data, in other words, determining the increase or decrease in the amount of precipitation, is extremely important in planning water resources. Therefore, in this study, synthetic new data were produced by using Feed Forward Back Propagation Artificial Neural Network database for El 1LxR years, which is the extreme phase of the Southern Oscillation, using precipitation data from 5 different stations in the basin of Western Black Sea LQ7 UNL\H The generated synthetic data and the historical data were compared in terms of trend analysis, and it was investigated how the precipitation values in the El 1LxR years affected the statistical values. When the 5 precipitation stations taken from the Western Black Sea Region are compared statistically, it was determined that the synthetic data of the stations except Zonguldak were less in trend.eninfo:eu-repo/semantics/openAccessWestern Black SeaSouthern OscillationFFBPANNTrend AnalysisPrecipitationConference Object