Comparison and evaluation of typhoon rainfall estimated by dual polarization radar in Ningbo and Zhoushan
[Objective]Aiming at investigating the applicability of the quantitative precipitation estimation(QPE)product of the dual polarization radar in Ningbo and Zhoushan,China,[Methods]based on the hourly rainfall data of rain gauges,the correlation coefficient(CC),relative bias(RB),root mean square error(RMSE),probability of detection(POD),false alarm ratio(FAR)and critical success index(CSI)are used to quantitatively evaluate the accuracy of radar QPE products of Ningbo and Zhoushan during the six typhoon rainfalls("Lekima""Mina""Hagupit""In-Fa""Chanthu"and"Muifa")from 2019 to 2022.[Results]The result show that:(1)The Ningbo radar significantly underestimates the rainfall during"Hagubit","In-Fa",and"Chanthu",with the lowest RB value of-71.56%,while it has the best performance for each evaluation index during"Muifa".The Zhoushan radar generally underestimates during 6 typhoons,but not as much as the Ningbo radar.(2)The two QPE products have a good performance in the hourly rainfall,with CC above 0.80 and below 1.93 mm.(3)With the increase of rain intensity,the estimation ability of the two radars for typhoon rainfall decreases gradually.The Zhoushan radar QPE tends to underestimate the precipitation process above 4 mm/h.There is an obvious instability in the performance of the Ningbo radar QPE.It overestimates the rainfall rate above 4 mm/h during"Lekima"and"Mina",while underestimates all the rainfall processes during"Hagubit","In-Fa"and"Chanthu".But its estimation for"Muifa"is basically consistent with the rain gauges.[Conclusion]Overrall,the Ningbo and Zhoushan radars can generally estimate the rainfall distribution during the typhoons.The performance of the two radar QPE products is quite different.The stability of the Ningbo radar QPE during typhoons is worse than the Zhoushan radar.A requirement for local modification of the QPE algorithm in the operation system over Ningbo and Zhoushan.
radar QPEquantitatively evaluatetyphoon rainfallNingbo and Zhoushan radarsrainfallrain intensityclimate changetyphoon
万方数据
维普
