An experiment of high-resolution gauge-radar-satellite combined precipitation retrieval based on the Bayesian merging method

In order to develop a method for combining different precipitation sources such as gauge, radar and satellite with high resolution, the Bayesian merging method, which has been used to retrieve high-resolution surface moisture from radar and satellite sensors, was adopted to combine gauge, radar and satellite precipitation data at hourly and 0.05°×0.05° lat/lon resolutions over the Jiang-huai region. The errors statistics of the three sources of precipitation was performed via the samples in August of 2009. The CMORPH was set to the first guess, and the radar and gauge precipitations were merged as the observations together. The verification at the independent stations showed that the Bayesian merging method can be effectively applied to the combination of gauge-radar-satellite precipitations, and the accuracy of the combined precipitation was higher than any of the three sources of precipitation.