Spatiotemporal assessment of the PERSIANN family of satellite precipitation data over Fars Province, Iran

  • Narjes Salmani-Dehaghi
  • Nozar SamaniEmail author
Original Paper


High resolution and global coverage of the satellite-based precipitation data have been found useful in many climate and hydrological studies, particularly in limited and nongauged areas. Due to systematic and nonsystematic factors, there are always deviations between ground-based and satellite-based precipitation. Among many satellite-based precipitation products, the PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks) family products attracted more attention. In this paper, we evaluated the PERSIANN family of monthly, seasonal, and annual precipitation data over Fars Province, Iran, at four different spatial scales, namely point (station), pixel, regional, and provincial during the period of 2003–2015 using 132 rain gauge data as baseline. The performance of the products was first evaluated by calculating some statistical metrics. The result shows that in all spatial and temporal scales, the three products mirror the precipitation pattern and underestimate the precipitation in the province. The PERSIANN-CDR outperforms the other two products and is the superior product. The performance of PERSIANNN products is the best at the provincial scale followed by regional, pixel, and point scales. The performance of PERSIANN family products is also evaluated by the quantile–quantile plot from which a set of equations is proposed to accurately predict precipitation in Fars Province from the PERSIANN-CDR precipitation data. The proposed equations are verified by 2-year precipitation data that were not used in the assessment of the products. These equations provide highly accurate precipitation data from PERSIANN-CDR data particularly in nongauged sites at various spatiotemporal scales for application such as in statistical hydrology and hydroclimate-related projects.



Constructive comments by the editor and anonymous reviewers are appreciated.

Funding information

Financial support provided by the Office of Vice Chancellor for Research, Shiraz University (grant no. 91GCU4M1206) is acknowledged.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no competing interests.


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© Springer-Verlag GmbH Austria, part of Springer Nature 2019
corrected publication 2019

Authors and Affiliations

  1. 1.Department of Earth SciencesShiraz UniversityShirazIran

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