Assessing spatially dependent errors in radar rainfall estimates for rainfall-runoff simulation

摘要: Weather radar been widely employed to measure precipitation and predict flood risks. However, it is still not considered accurate enough because of errors. Most previous studies have focused primarily on removing errors from the data. Therefore, in current study, we examined effects rainfall rainfall-runoff simulation using spatial error model (SEM). SEM was used synthetically generate random or cross-correlated A number events were generated investigate effect spatially dependent estimates runoff simulation. For simulation, Nam River basin South Korea with distributed model, Vflo™. The results indicated that caused much higher variations peak discharge than independent To further magnitude cross-correlation among errors, different magnitudes cross-correlations during demonstrated a stronger correlation led variation up observed structure while case resulted lower variability discharge. We concluded significantly affects predictions peak. efforts only remove but also weaken need be taken forecast accurately.