Arash bihamta; Hamid Goharnejad; saber moazami
Volume 10, Issue 2 , September 2018, , Pages 45-60
Abstract
Rainfall is the most important factor directly involved in the hydrological cycle. Obtaining accuraterainfall data is essential for analyzing various hydrological phenomena and climate change. The aimof this study was to investigate the accuracy of the rainfall data of two GPM satellites with IMERGand ...
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Rainfall is the most important factor directly involved in the hydrological cycle. Obtaining accuraterainfall data is essential for analyzing various hydrological phenomena and climate change. The aimof this study was to investigate the accuracy of the rainfall data of two GPM satellites with IMERGand TRMM with 3B42 product at four synoptic stations in Tehran on daily, monthly and seasonalscales. In comparative comparison between satellite data and rainfall observation data CorrelationCoefficient (R), Bias, Mean Absolute Error (MAE), Root Mean Square Error (RMSE), with the aimof validating data, and Probability of Detection (POD), False Alarm Ratio (FAR) and Critical SuccessIndex (CSI) verification of the data were investigated. The results showed that the correlation betweenIMERG data and rain observation data at station is higher than 3B42 data. In addition, the Bias, MAEand RMSE values confirmed that both the 3B42 and IMERG products had the lowest error rates withobservation data. Also, In the evaluation of the IMERG product with rainfall values of the Shemiranstation, the correlation at this station on the daily, monthly and seasonal scale was 57%, 83% and87%, respectively. In general, considering to its superior technology, IMERG has a high precision anda good tool for hydrological forecasting.
