Factors affecting the identification of independent storm events
1988; Elsevier BV; Volume: 98; Issue: 3-4 Linguagem: Inglês
10.1016/0022-1694(88)90018-2
ISSN1879-2707
AutoresJ. V. Bonta, A. Ramachandra Rao,
Tópico(s)Precipitation Measurement and Analysis
ResumoNo standard method exists for identifying independent precipitation events for storm-based precipitation analyses. Two methods using Coshocton, Ohio data are compared in this study (the rank correlation and exponential methods), along with an investigation of factors affecting the minimum dry-period duration between storms (termed the "critical duration"). The exponential method gives higher critical duration estimates than the rank correlation method. The effect of sampling interval of the data on critical duration is small for both methods. Consequently, readily available hourly data may be used to estimate the critical duration. Year-to-year, seasonal and spatial variability in critical duration estimates are found to be great. About ten years of data are required to compute reliable estimates of critical duration. The exponential method is suggested for use.
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