Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2017.12.011 |
Pseudo-radar algorithms with two extremely wet months of disdrometer data in the Paris area | |
Gires, A.; Tchiguirinskaia, I.; Schertzer, D. | |
2018-05-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2018 |
卷号 | 203页码:216-230 |
文章类型 | Article |
语种 | 英语 |
国家 | France |
英文摘要 | Disdrometer data collected during the two extremely wet months of May and June 2016 at the Ecole des Ponts ParisTech are used to get insights on radar algorithms. The rain rate and pseudo-radar quantities (horizontal and vertical reflectivity, specific differential phase shift) are all estimated over several durations with the help of drop size distributions (DSD) collected at 30 s time steps. The pseudo-radar quantities are defined with simplifying hypotheses, in particular on the DSD homogeneity. First it appears that the parameters of the standard radar relations Z(h) - R, R - K-dp and R - 4 Z(h) - Z(dr) for these pseudo-radar quantities exhibit strong variability between events and even within an event. Second an innovative methodology that relies on checking the ability of a given algorithm to reproduce the good scale invariant multifractal behaviour (on scales 30 s - few h) observed on rainfall time series is implemented. In this framework, the classical hybrid model (Z(h) - R for low rain rates and R - K-dp for great ones) performs best, as well as the local estimates of the radar relations' parameters. However, we emphasise that due to the hypotheses on which they rely these observations cannot be straightforwardly extended to real radar quantities. |
英文关键词 | Rainfall Disdrometer Radar algorithm Multifractal |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000426226400019 |
WOS关键词 | RESOLUTION RAINFALL ESTIMATION ; DUAL-POLARIZATION RADAR ; POLARIMETRIC RADAR ; X-BAND ; UNIVERSAL MULTIFRACTALS ; SIZE ; UNCERTAINTIES ; ESTIMATORS ; SCATTERING ; QUALITY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/38246 |
专题 | 地球科学 |
作者单位 | UPE, Ecole Ponts, HMCo, Champs Sur Marne, France |
推荐引用方式 GB/T 7714 | Gires, A.,Tchiguirinskaia, I.,Schertzer, D.. Pseudo-radar algorithms with two extremely wet months of disdrometer data in the Paris area[J]. ATMOSPHERIC RESEARCH,2018,203:216-230. |
APA | Gires, A.,Tchiguirinskaia, I.,&Schertzer, D..(2018).Pseudo-radar algorithms with two extremely wet months of disdrometer data in the Paris area.ATMOSPHERIC RESEARCH,203,216-230. |
MLA | Gires, A.,et al."Pseudo-radar algorithms with two extremely wet months of disdrometer data in the Paris area".ATMOSPHERIC RESEARCH 203(2018):216-230. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论