Effect of bias adjustment and rain gauge data quality control on radar rainfall estimation

摘要: Thirty major storms that passed over Goodwin Creek, a small research watershed in northern Mississippi, were analyzed to assess the bias between radar rainfall estimates at rain gauge locations and amounts. These storms, each contributing least 10 mm of storm total rainfall, accumulated approximately 785 rain, which corresponds about half average annual amount for area. The focus this study was demonstrate importance (1) adjustment (2) quality control data used adjustment. analyses are based on Memphis Weather Surveillance Radar—1988 Doppler data, tipping-bucket raindrop spectra information collected within Creek catchment. Because measurement estimation uncertainties, observations often combined with obtain most accurate estimates. Rain however, subject characteristic error sources: malfunctioning gauges frequently caused by biological mechanical fouling, human interference. Therefore careful is crucial, only good should be adjusting By using high-quality storm-based adjustment, we achieved root-mean-square errors (RMSE) 10% accumulations 30 or more. Differences resulting from processing scenarios found compared effect data.