Abstract
AbstractThis study is aimed at understanding the behavior of a rainfall time series having a large number of continuous zero values. Forty-nine years of daily rainfall data pertaining to the Koyna Reservoir catchment in India is employed in the study. The majority of rainfall happens during the monsoon period from June to September; the rainfall during the non-monsoon period (October to May) is almost negligible. This phenomenon has been observed every year. Hence, 64% of the time series contains zero values. Six sets of rainfall time series along with the observed series are analyzed: (1) daily observed average rainfall data; (2) daily transformed average rainfall data; (3) daily wet-period average rainfall data; (4) phase-randomized average rainfall data; (5) daily average rainfall anomaly data; and (6) standardized daily average rainfall anomaly data. To understand the consequence of a greater length of zero values and constant values, daily observed average rainfall data results are compared with dail...
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