《Table 4.The RMSE, RMAE and RMB scores for different rainfall intensities before and after correctio

《Table 4.The RMSE, RMAE and RMB scores for different rainfall intensities before and after correctio   提示:宽带有限、当前游客访问压缩模式
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《"Evaluating the Algorithm for Correction of the Bright Band Effects in QPEs with S-, C-and X-Band Dual-Polarized Radars"》


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The radar-derived hourly rainfall was compared with rain-gauge observations(Fig.8)for the three events from the C-band radar at 3.4?tilt at 1200–1300 UTC 4 August2013,X-band radar at 2?tilt at 0500–1100 UTC 27 October 2016,and S-band radar at 2.4?tilt at 1400–1800 UTC 31March 2017.The radar-based QPEs from the uncorrected reflectivity significantly overestimated the rainfall in the brightband areas(Figs.8a,d and g).The QPE overestimations in the bright-band areas were reduced after the reflectivity fields were corrected by the AVPR(Figs.8b,e and h)and AVPR+CC(Figs.8c,f and j)schemes.Figure 8 also shows the scatter points of rainfall data that had no contamination of bright bands.The corrected bright-band area rainfall shows a similar distribution as those of no contamination.Three statistics(RMSE,RMAE and RMB)were calculated and listed in Table 3 for the radar-derived hourly rainfall with respect to the surface rain-gauge observations,focusing only on the bright-band affected areas.Figure 9 shows the scatter points of rainfall data that had contamination of bright bands at different tilts.The rainfall from the uncorrected and corrected reflectivity shows a similar distribution.In general,reflectivity corrections based on the AVPR and AVPR+CC schemes had positive impacts in reducing the overestimation of Z–R relationship–based QPEs in the bright-band areas.Furthermore,the AVPR+CC correction scheme eliminated more overestimation of QPE than the AVPR correction scheme,as the reflectivity in the bright-band areas was further reduced by the AVPR+CC scheme(Figs.7c,f and i versus Figs.7b,e and h).