Preliminary Application of CINRAD-SA Dual Polarization Radar Data in Rainfall Estimation
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Abstract:
In this paper, the method of QPE based on ZH and KDP[R(C ) ] method is improved, and Φ DP of Guangzhou Sband dual polarization radar during two squall lines and two typhoons in 2016 is filtered by wavelet analysis, and then KDP is estimated by Φ DP in 1.5-4.5 km resolution. The rainfall of the squall lines and typhoons is estimated by R(C) and R(ZH) methods, and the estimated result is compared with the hourly rainfall gauge. In addition, the evaluating results of R(C) and R(ZH) methods are compared to each other. The results show that (1) for squall lines, R(C) is better than R(Z H) when the rainfall rate is higher than 5 mm·h-1. The higher the rainfall rate is, the more obvious the advantage of R(C) will be. When the rainfall rate is higher than 20 mm·h-1, the average RE decreases by 17.2%, the average AE decreases by 1.89 mm, and the average RMSE decreases by 1.66 mm. (2) For typhoons, R(C) is better 〖JP2〗than R(ZH) when the rainfall rate is higher than 5 mm·h-1. When the rainfall rate is higher than 20 mm·h-1,〖JP〗 the average RE of R(C) is 33.1% lower than that of R(Z H), the average AE is reduced by 3.95 mm, and the average RMSE is reduced by 4.05 mm. In general, R(C) could solve the underestimate problem existing in R(ZH) method. However, R(C) could also underestimate the precipitation when the rainfall rate is higher than 10 mm·h-1. The possible reason is the small value of the coefficient fitted by the raindrop spectrum data because of the observation error or the observation error caused by the radar hardware.