نوع مقاله : مقاله پژوهشی
1 عضو هیاتعلمی پژوهشکده مطالعات و تحقیقات منابع آب، مؤسسه تحقیقات آب
2 دانشجوی کارشناسی ارشد آب و سازه های هیدرولیکی، مهندسی عمران، دانشگاه صنعتی خواجه نصیرالدین طوسیی
عنوان مقاله [English]
Despite the existence of studies that have been conducted in the field of evaluating rainfall databases in Iran, there is still a research gap in the field of investigating the accuracy of gridded data in in estimation of extreme precipitation events based on different climatic regions over Iran. In this study the performance of four datasets includes GPM, ERA5, TRMM and PERSIANN-PDIR in estimation of extreme precipitation indices in 145 stations over Iran during 2000-2017 period was investigated. The extreme indices are Rx1day, Rx5day, CDD, CWD, R10mm, R20mm and R95p. Principal component analysis (PCA) method was used to classify the precipitation regions. Based on PCA results, Iran was divided into 6 rainfall regions including (1) Caspian Sea region (2) Northwest (3) West (4) Southwest and coasts of Persian Gulf (5) Northeast (6) Southeast and Center. The efficiency of datasets in estimating daily rainfall was checked based on Pearson correlation coefficient and Percent Bias (PB). The results showed that the GPM, ERA5 and TRMM have good performance in estimating daily rainfall. In the following the efficiency of three mentioned datasets in 6 precipitation areas was examined and the results of this section show that GPM has the highest efficiency and TRMM has the lowest efficiency in estimating the extreme precipitation indices in Iran.