Comparison of Interpolation Methods in the Spatial Distribution of Monthly Precipitation Data in Konya Closed Basin

Abstract

Interpolation methods are used as an effective tool in determining the spatial distribution of precipitation. In this study, the performance of deterministic and geostatistical interpolation methods in estimating the spatial distribution of monthly total precipitation in the Konya Closed Basin (KCB) was investigated. In the study, the effect of both the number of stations and the observation period on the prediction performance was evaluated. While 11 stations were used in the long period (1971-2019), 34 stations were used in the short period (2014-2019). Spatial forecasts were performed by deterministic methods such as Inverse Distance Weighted Interpolation (IDW), Regularized Spline (Sp-R), and Tension Spline (Sp-T) and geostatistical methods such as Ordinary Kriging (OK) and Universal Kriging (UK). spherical (S), gaussian (G), circular (C), and exponential (E) were used as semivariogram methods in the OK method. According to Nash Sutcliffe efficiency coefficient (NSE), the most successful interpolation methods for the long period (1971-2019) were Sp-T (NSE=0.721) at Cihanbeyli station, Sp-R (NSE=0.561) at Seydi & scedil;ehir station, and OK-G (NSE=0.704) at Karap & imath;nar station. In the short period (2014-2019), the highest prediction success among the 10 test stations was obtained from Seydi & scedil;ehir station (IDWNSE=0.843), and the lowest prediction success was obtained from Sultanhan & imath; station (OK-GNSE=0.533).