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An entropy-based investigation into the variability of precipitation
Authors:Ashok K Mishra  Mehmet zger  Vijay P Singh
Institution:aDept. of Biological and Agricultural Engineering, Texas A&M Univ., TX 77843-2117, United States;bHydraulics Division, Civil Engineering Department, Civil Engineering Faculty, Istanbul Technical University, Istanbul 34469, Turkey
Abstract:Employing the entropy concept spatial and temporal variability of precipitation time series were investigated for the State of Texas, USA. Marginal entropy was used to investigate the variability associated with monthly, seasonal and annual time series. Also, apportionment entropy and intensity entropy were used for investigating the intra-annual and decadal distributions of monthly and annual precipitation amounts and numbers of rainy days within a year and decade respectively. Finally, the Hurst exponent and the Mann–Kendall test were used to evaluate the long-term persistence and trend in the variability of precipitation. Distinct spatial patterns in annual series and different seasons were observed. The variability of precipitation amount as well as number of rainy days within a year increased from east to west of Texas. The results also indicated that highly disorderliness in the amount of precipitation and number of rainy days caused severe droughts during the 1950’s in whole of Texas.
Keywords:Marginal entropy  Disorder index  ADI  Variability  Hurst exponent  Mann–  Kendall test
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