Comparison of extreme precipitation estimation from GPM dual-frequency radar and ground-based radar network in Southern China

This paper focuses on the inter-comparison of dual-frequency Precipitation radar(DPR) on board GPM core satellite and ground-based radar observations during the extreme precipitation estimation in southern China. Time and location matching technology is used to match DPR data and radar data. A Gauss function is applied compute sample weights to obtain a more accurate result. By distinguishing convective rainfall and stratiform rainfall, different Z-R relationships are adopted to estimate precipitation. The results are as follows: 1) DPR_HS, DPR_MS and DPR_NS show low correlation coefficient so that they are poorly correlated with radar for instantaneous precipitation rates; 2) DPR_HS, DPR_MS and DPR_NS show much more occurrences of light rainfall rates than radar; 3) DPR_MS occurrences of rainfall rates are similar with DPR_NS.