Evaluation of daily satellite rainfall product during high dense rainstorm for flood prediction over Iraq
نویسندگان
1 Ph.D., Space Research and Technology Center, Scientific Research Commission, Baghdad, Iraq
doi
10.30499/ijg.2024.475075.1625چکیده
Precipitation in regions characterized by intricate terrain is frequently identified by significant variability and inadequate observation, which hampers efforts to effectively address water resource management concerns. In this study, we assess the accuracy of remote sensing and ground station-based gridded precipitation products in Iraq by comparing them to weather station precipitation observations on a daily basis. Moreover, the possibility of rainfall satellite-derived data to predict potential floods and damages in selected areas in eastern and central Iraq during previous rainstorms was studied. In the present study, the accuracy of GPM satellite precipitation data during a highly dense rainstorm for flood prediction over Iraq was evaluated. The findings revealed a strong agreement between satellite precipitation data and rain-gauge data, with a correlation coefficient of 0.88, indicating a high level of accuracy. Hence, it is ideal for utilization in meteorological and hydrological investigations as well as for the creation of rainfall contour maps. Based on the overly model that has been produced for the areas threatened by flooding then, the extraction function was used to polygons of these areas. Statistical calculations showed the areas vulnerable to flooding in the event of continued recurring rainstorms, as the total area reached 4,461,241 km2.