AU - Dezfooli, D. AU - Hosseini-Moghari, S. M. AU - Ebrahimi, K. TI - Comparison of TRMM-3B42 V7 and PERSIANN Satellites Precipitation Data with Ground-Based Data (Case study: Gorganrood Basin, Iran) PT - JOURNAL ARTICLE TA - JSTNAR JN - JSTNAR VO - 20 VI - 76 IP - 76 4099 - http://jstnar.iut.ac.ir/article-1-3336-en.html 4100 - http://jstnar.iut.ac.ir/article-1-3336-en.pdf SO - JSTNAR 76 ABĀ  - Precipitation is an important element of the hydrologic cycle and lack of this data is one of the most serious problems facing research on hydrological and climatic analysis. On the other hand, using satellite images has been proposed by many researchers as one of practical strategies to estimate precipitation. The present paper aims to evaluate the accuracy of satellite precipitation data, provided by PERSIANN and TRMM-3B42 V7 in Gorganrood basin, Iran. To achieve this aim, two sets of daily precipitation ground-based data, 2003 to 2004 and 2006 to 2007, from six stations of Gorganrood basin, named; “Tamer”, “Ramian”, “Bahalkeh-ye Dashli”, “Gorgan Dam”, “Ghaffar Haji” and “Fazel Abad” have been used in this paper. The evaluation indices have been calculated and analyzed in different time scales, including daily, monthly and seasonal. The results indicated that the two above mentioned satellite models are not accurate in daily scale. However, they showed reasonable accuracy in monthly and seasonal scales. The highest correlations between satellites and recorded data in daily and monthly scales, for TRMM-3B42 V7 in “Gorgan Dam” and “Bahlke Dashlei” stations, are 0.397 and 0.404, respectively. The comparison of measured and satellite data of winter showed better agreement for PERSIANN model. However, TRMM-3B42 V7 shows better correlation in other seasons. The results also indicated that while TRMM-3B42 data displays higher correlation with measured data, PERSIANN provids better results in predicting the number of rainy days. CP - IRAN IN - 1. Dept. of Irrigation & Reclamation Eng., Faculty of Agri. Eng. & Technol., Univ. of Tehran, Tehran, Iran. LG - eng PB - JSTNAR PG - 85 PT - Research YR - 2016