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A precipitation regionalization and regime for Iran based on multivariate analysis

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Abstract

Monthly precipitation time series of 155 synoptic stations distributed over Iran, covering 1990–2014 time period, were used to identify areas with different precipitation time variability and regimes utilizing S-mode principal component analysis (PCA) and cluster analysis (CA) preceded by T-mode PCA, respectively. Taking into account the maximum loading values of the rotated components, the first approach revealed five sub-regions characterized by different precipitation time variability, while the second method delineated eight sub-regions featured with different precipitation regimes. The sub-regions identified by the two used methods, although partly overlapping, are different considering their areal extent and complement each other as they are useful for different purposes and applications. Northwestern Iran and the Caspian Sea area were found as the two most distinctive Iranian precipitation sub-regions considering both time variability and precipitation regime since they were well captured with relatively identical areas by the two used approaches. However, the areal extents of the other three sub-regions identified by the first approach were not coincident with the coverage of their counterpart sub-regions defined by the second approach. Results suggest that the precipitation sub-region identified by the two methods would not be necessarily the same, as the first method which accounts for the variance of the data grouped stations with similar temporal variability while the second one which considers a fixed climatology defined by the average over the period 1990–2014 clusters stations having a similar march of monthly precipitation.

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Acknowledgements

This study was financially supported by the Soil Conservation and Watershed Management Institute (SCWMRI) through a grant provided for the project with the code number 2-29-29-87-22. The Iranian Meteorological Organization (IRIMO) is very much appreciated for providing the precipitation data. I also appreciate very much the three anonymous reviewers for their invaluable recommendations that made the manuscript substantially improved.

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Authors and Affiliations

  1. Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization (AREO), Tehran, Iran

    Tayeb Raziei

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  1. Tayeb Raziei
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Correspondence to Tayeb Raziei.

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Raziei, T. A precipitation regionalization and regime for Iran based on multivariate analysis. Theor Appl Climatol 131, 1429–1448 (2018). https://doi.org/10.1007/s00704-017-2065-1

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