Evaluations on Radar QPE using raindrop size distribution in Southern Luzon, Philippines

IF 0.8 4区 地球科学 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Jonathan Macuroy, Wei-Yu Chang, D. Faustino-Eslava, Patricia Ann J. Sanchez, Cristino L. Tiburan Jr., B. Jou
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引用次数: 1

Abstract

The study analyzed the raindrop size distribution (DSD) measured by an optical Parsivel disdrometer in Southern Luzon, Philippines and utilized it to generate dual-pol relations for the nearby Tagaytay radar. The relations were generated using two methods (Method 1 - gamma-based and Method 2 - linear fitting), four time-integration steps (1, 2-, 5, and 10-min) and datasets from two periods (wet season and single event). The resulting quantitative precipitation estimates (QPEs) calculated from the generated R(Z) relations were compared to rain gauge stations near the disdrometer and were evaluated for the Tropical Storm Yagi Monsoon event of 10 August (2200 UTC) to 11 August (0400 UTC) 2018 using six statistics: Pearson’s correlation; mean error, percent bias, Nash-Sutcliffe Efficiency, mean absolute error, and root-mean-square error. Results show that the area’s DSD demonstrates relatively larger average raindrop diameters than some of its Asian counterparts, albeit a smaller number in the total number of raindrops when compared with the same areas. In terms of QPE evaluation, results showed a consistent pattern observed wherein the R(Z) relations using finer time steps (1-and 2-min) generally performed better than the longer ones. Moreover, Method 1 dominated Method 2 in terms of error statistics. As expected, Method 2 outperformed Method 1 in terms of r (as Method 2 itself is derived through linear fit). The best derived R(Z) relations were able to outperform other relations in terms of r, NSE, and RMSE. On the other hand, R(K DP ) was able to perform the best in terms of ME, MAE, and pBIAS, reducing the bias of current standard method by up to 74%.
菲律宾吕宋岛南部雨滴大小分布对雷达QPE的评价
该研究分析了菲律宾吕宋岛南部由光学Parsivel disdrometer测量的雨滴大小分布(DSD),并利用它为附近的Tagaytay雷达生成双极关系。使用两种方法(方法1 -基于伽马的方法和方法2-线性拟合),四个时间积分步骤(1、2、5和10分钟)和来自两个时期(雨季和单一事件)的数据集生成关系。根据生成的R(Z)关系计算得到的定量降水估计值(qpe)与分差仪附近的雨量站进行了比较,并使用六种统计量对2018年8月10日(2200 UTC)至8月11日(0400 UTC)的热带风暴八木季风事件进行了评估:Pearson相关;平均误差、百分比偏差、纳什-萨特克利夫效率、平均绝对误差和均方根误差。结果显示,该地区的DSD平均雨滴直径比亚洲的一些地区要大,尽管与相同地区相比,雨滴总数较少。在QPE评估方面,结果显示了观察到的一致模式,其中使用较细时间步骤(1-和2分钟)的R(Z)关系通常比较长的时间步骤表现更好。在误差统计方面,方法1优于方法2。正如预期的那样,方法2在r方面优于方法1(因为方法2本身是通过线性拟合得出的)。得到的最佳R(Z)关系在R、NSE和RMSE方面优于其他关系。另一方面,R(K DP)在ME、MAE和pBIAS方面表现最好,将当前标准方法的偏差降低了74%。
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
29
审稿时长
4.5 months
期刊介绍: The major publication of the Chinese Geoscience Union (located in Taipei) since 1990, the journal of Terrestrial, Atmospheric and Oceanic Sciences (TAO) publishes bi-monthly scientific research articles, notes, correspondences and reviews in all disciplines of the Earth sciences. It is the amalgamation of the following journals: Papers in Meteorological Research (published by the Meteorological Society of the ROC) since Vol. 12, No. 2 Bulletin of Geophysics (published by the Institute of Geophysics, National Central University) since No. 27 Acta Oceanographica Taiwanica (published by the Institute of Oceanography, National Taiwan University) since Vol. 42.
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