Abstract
Assessment of the reliability and quality of historical precipitation data is required in the modeling of hydrology and water resource processes and for climate change studies. The homogeneity of the annual and monthly precipitation data sets throughout Iran was tested using the Bayesian, Cumulative Deviations, and von Neumann tests at a significance level of 0.05. The precipitation records from 41 meteorological stations covering the years between 1966 and 2005 were considered. The annual series of Iranian precipitation were found to be homogeneous by applying the Bayesian and Cumulative Deviations tests, while the von Neumann test detected inhomogeneities at seven stations. Almost all the monthly precipitation data sets are homogeneous and considered as “useful.” The outputs of the statistical tests for the homogeneity analysis of the precipitation time series had discrepancies in some cases which are related to different sensitivities of the tests to break in the time series. It was found that the von Neumann test is more sensitive than the Bayesian and Cumulative Deviations tests in the determination of inhomogeneity in the precipitation series.
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Acknowledgments
The authors wish to express their gratitude to the Islamic Republic of Iran Meteorological Organization (IRIMO) for access to the precipitation data. The authors are thankful to Mr. Hossein Tabari from KU Leuven for the constructive comments on an earlier draft of this manuscript. The authors are also grateful to the anonymous reviewers whose suggestions significantly contributed to improve the work.
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Hosseinzadeh Talaee, P., Kouchakzadeh, M. & Shifteh Some’e, B. Homogeneity analysis of precipitation series in Iran. Theor Appl Climatol 118, 297–305 (2014). https://doi.org/10.1007/s00704-013-1074-y
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DOI: https://doi.org/10.1007/s00704-013-1074-y