Hurst; Potential evapotranspiration; Parametric model; R software; Trend analysis


We present an R function for testing the trend significance of time series. The function calculates the trend significance using a modified Mann- Kendall test, which takes into account the well-known physical behavior of the Hurst-Kolmogorov dynamics. The function is tested in 10 stations in Greece, with approximately 50 years of PET data with the use of a recent parametric approach. A significant downward trend was detected in two stations. The R software is now suitable for extensive use in the several fields of the scientific community, allowing a physical consistent of a trend analysis.

Recommend Reviewers

hossein.tabari@kuleuven.be, Hossein Tabari, Expert in Hydrological time series analysis mjpolo@uco.es, María José Polo Gómez, Associate Professor of Hydraulic Engineering caguilar@uco.es, Cristina Aguilar Porro, Ph.D. Forestry Engineer

Appendix A.rar (303 kB)
Supplementary file for the R script