Morteza Miri; Mojtaba Rahimi; Aliakbar Noroozi
Abstract
Todays, satellite precipitation data with high spatial and temporal resolution is an appropriate alternative source for conducting various studies of meteorology and hydrology in areas with inappropriate distribution of stations. These data are very important for a country like Iran which is always faced ...
Read More
Todays, satellite precipitation data with high spatial and temporal resolution is an appropriate alternative source for conducting various studies of meteorology and hydrology in areas with inappropriate distribution of stations. These data are very important for a country like Iran which is always faced with problems of water shortage and precipitation. Therefore, the main purpose of this study is to evaluate the accuracy of GPM and TRMM daily precipitation against the recorded daily precipitation data of selected stations in Iran. Statistical methods were used to achieve this purpose. The data used include daily precipitation data from meteorological stations and daily rainfall from latest GPM and TRMM products in the period 2015-2000 in Iran. Statistical analysis showed that the daily precipitation values of these sensors are not accurate in Iran, and the estimated precipitation error is significant for most stations. Comparison of rainfall estimates from TRMM and GPM showed that although there is a great similarity between the estimates of precipitation values of GPM and TRMM, however, GPM data are more accurate than TRMM data in Iran. In terms of location, the best accuracy of the GPM and TRMM databases were observed in west of Iran, especially along the Zagros mountains, and like many other databases, the lowest accuracy was observed in coastal areas, especially along the Caspian Sea. Comparison of total annual precipitation of the stations and the remote sensing databases showed that not only there is a difference between the estimates of precipitation, there is also a spatial difference between high and low precipitation cores.
