Abstract
Due to the influence of changing environment and intensifying human activities, hydrometeorological changes are becoming common. This study derives a bivariate joint distribution of total precipitation and precipitation days with daily precipitation exceeding the 75th percentile and falling below the 25th percentile. Chang points in the precipitation series are detected with more than one statistical method. Results indicate that (1) for P75 and D75, Kendal’s τ does not change significantly even when the existence of change points is taken into account. The selection of a copula is greatly impacted by the existence of a change point; (2) for P25 and D25, τ varies much, while the precipitation variations have no evident effects on the selection of a copula. Therefore, a copula should be selected after the detection of change points to avoid possible bias in results or conclusions. This study is of some merits in terms of risk evaluation based on copula-based probability analysis with available change points.
Original language | English |
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Pages (from-to) | 255–264 |
Number of pages | 10 |
Journal | Theoretical and Applied Climatology |
Volume | 107 |
Issue number | 1-2 |
Early online date | 6 Jul 2011 |
DOIs | |
Publication status | Published - Jan 2012 |
User-Defined Keywords
- Change Point
- Precipitation Change
- Copula Function
- Archimedean Copula
- Clayton Copula