Utilizing Satellite Data to Establish Rainfall Intensity-Duration-Frequency Curves for Major Cities in Iraq

This study generates intensity-duration-frequency curves for three important cities in Iraq using Global Precipitation Measurement Integrated Multi-Satellite Retrievals (IMERG), Satellite Mapping of near real-time (GSMaP NRT), and gauge corrected GC) satellite precipitation datasets. Many probability distribution functions were used to fit the maximum yearly rainfall data. The Sherman equation was create (IDF) intensities with 2-, 5-, 10-, 25-, 50-, 100-year return periods, estimated coefficients best-fit serving as fitting parameters. discrepancy between IDF produced from satellites observed data bias correct curves. Generalized Extreme Value Distribution model best describes hourly GSMaP GC option creating higher correlations at Baghdad, Basra, Mosul. indicates necessity correction reduce under- over-estimating rainfall. can reasonably estimate a predominantly arid climate region like Iraq. generated may be an step toward achieving sustainable urban stormwater management country.