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Spatial patterns and temporal trends of daily precipitation indices in Iran

Author

Listed:
  • Tayeb Raziei
  • Jamal Daryabari
  • Isabella Bordi
  • Reza Modarres
  • Luis Pereira

Abstract

Spatial patterns of daily precipitation indices and their temporal trends over Iran are investigated using the APHRODITE gridded daily precipitation dataset for the period 1961–2004. The performance and limitations of the gridded dataset are checked against observations at ten rain-gauge stations that are representative of different climates in Iran. Results suggest that the spatial patterns of the indices reflect the role of orography and sea neighborhoods in differentiating central-southern arid and semi-arid regions from northern and western mountainous humid areas. It is also found that western Iran is impacted by the most extreme daily precipitation events occurring in the country, though the number of rainy days has its maximum in the Caspian Sea region. The time series of precipitation indices is checked for long-term trends using the least squares method and Mann-Kendall test. The maximum daily precipitation per year shows upward trends in most of Iran, though being statistically significant only in western regions. In the same regions, upward trends are also observed in the number of wet days and in the accumulated precipitation and intensity during wet days. Conversely, the contribution of precipitation events below the 75th percentile to the annual total precipitation is decreasing with time, suggesting that extreme events are responsible for the upward trend observed in the total annual precipitation and in the other indices. This tendency towards more severe/extreme precipitation events, if confirmed by other datasets and further analyses with longer records, would require the implementation of adequate water resources management plans in western Iran aimed at mitigating the increasing risk of intense precipitation and associated flash floods and soil erosion. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Tayeb Raziei & Jamal Daryabari & Isabella Bordi & Reza Modarres & Luis Pereira, 2014. "Spatial patterns and temporal trends of daily precipitation indices in Iran," Climatic Change, Springer, vol. 124(1), pages 239-253, May.
  • Handle: RePEc:spr:climat:v:124:y:2014:i:1:p:239-253
    DOI: 10.1007/s10584-014-1096-1
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    References listed on IDEAS

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    1. Saeed Soltani & R. Saboohi & L. Yaghmaei, 2012. "Rainfall and rainy days trend in Iran," Climatic Change, Springer, vol. 110(1), pages 187-213, January.
    2. Andrea Reiter & Ruth Weidinger & Wolfram Mauser, 2012. "Recent Climate Change at the Upper Danube—A temporal and spatial analysis of temperature and precipitation time series," Climatic Change, Springer, vol. 111(3), pages 665-696, April.
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    Cited by:

    1. Ercan Yeşilırmak & Levent Atatanır, 2016. "Spatiotemporal variability of precipitation concentration in western Turkey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 687-704, March.
    2. Ercan Yeşilırmak & Levent Atatanır, 2016. "Spatiotemporal variability of precipitation concentration in western Turkey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 687-704, March.
    3. Nam, Won-Ho & Hong, Eun-Mi & Choi, Jin-Yong, 2015. "Has climate change already affected the spatial distribution and temporal trends of reference evapotranspiration in South Korea?," Agricultural Water Management, Elsevier, vol. 150(C), pages 129-138.
    4. Sakiba Nabi & Manzoor Ahmad Ahanger & Abdul Qayoom Dar, 2023. "Spatio-temporal variability of temperature and precipitation in a Himalayan watershed," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(2), pages 1743-1760, January.
    5. Mohammad Darand & Mohammad M. Sohrabi, 2018. "Identifying drought- and flood-prone areas based on significant changes in daily precipitation over Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(3), pages 1427-1446, February.

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