نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشآموخته کارشناسی ارشد مهندسی و مدیریت منابع آب، دانشکده مهندسی عمران، دانشگاه صنعتی شاهرود، شاهرود، ایران.
2 استادیار گروه مهندسی آب و محیط زیست، دانشکده مهندسی عمران، دانشگاه صنعتی شاهرود، شاهرود، ایران
3 پژوهشگر ارشد پسا دکتری، دانشکده جغرافیا، دانشگاه ملی ایرلند.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Awareness of the spatial and temporal distribution of precipitation around the world is useful for improving climate awareness and modifying climate forecasting models. However, determining the precipitation distribution is a complex task due to the lack of a single estimator with sufficient coverage and accuracy. In this study, the performance of TRMM-3B43-V7 and PERSIANN-CDR satellite precipitation products on a monthly scale and in different climatic zones in Iran were evaluated. For this purpose, measured rainfall data were used in 81 synoptic stations located in the whole country of Iran in the period from 2008 to 2019. To more accurately evaluate the efficiency of the two products, the values of the statistical indices of correlation coefficient, root mean square error, efficiency factor and false alarm ratio in the position of all synoptic stations were calculated and analyzed. The results show that in general, TRMM has a significant advantage over PERSIANN-CDR in all statistical indicators. However, the performance of both products in rainy areas is associated with more errors. With the exception of moderate and humid regions, both products estimate more rainfall in the rest of the climatic zones. This difference in rainfall estimates is greater in arid and semi-arid areas than in other areas.
کلیدواژهها [English]