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An advanced data collection procedure in bivariate drought frequency analysis
Author(s) -
Amirataee Babak,
Montaseri Majid,
Rezaie Hossein
Publication year - 2020
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/hyp.13866
Subject(s) - bivariate analysis , copula (linguistics) , frequency analysis , term (time) , statistics , environmental science , data collection , mathematics , econometrics , physics , quantum mechanics
In recent years, the bivariate frequency analysis of drought duration and severity using independent drought events and copula functions has been under extensive application. Meanwhile, emphasis on the procedure of independent drought data collection leads to the omission of the actual potential of short‐term extreme droughts within a long‐term independent drought. However, a long‐term individual continuous drought as an Unconnected Drought Runs can be considered as a combination of short‐term Connected Drought Runs. Thus, an advanced and new procedure of data collection in the bivariate drought characteristics analysis has been developed in this study. The results indicated a high relative advantage of the new proposed procedure in analysing bivariate drought characteristics (i.e., drought duration and severity frequency analysis). This advantage has been reflected in the more appropriate determination of the best copula and significant reduction in the uncertainty of bivariate drought frequency analysis.