Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR023393 |
High-Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small-Scale Urban Rainfall | |
de Vos, L. W.1,2; Raupach, T. H.3,4,5; Leijnse, H.1; Overeem, A.1,2; Berne, A.3; Uijlenhoet, R.2 | |
2018-12-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:12页码:10293-10312 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; Switzerland |
英文摘要 | Many applications in urban areas require high-resolution rainfall measurements. Typical operational weather radars can provide rainfall intensities at 1-km(2) grid cells every 5min. Opportunistic sensing with commercial microwave links yields path-averaged rainfall intensities (typically 0.1-10km) within urban areas. Additionally, large amounts of urban in situ rainfall measurements from amateur weather observers are obtainable in real-time. The accuracy of these three techniques is evaluated for an urban study area of 20x20km, taking into account their respective network layouts and sampling characteristics. We use two simulated rainfall events described in terms of drop size distributions on a 100-m grid and with a temporal resolution of 30s. Accurate radar rainfall estimation with the Z-R relationship relies heavily on an appropriate choice of parameters, and a dual-polarization strategy is more suitable for higher intensities. Under ideal measurement conditions, the weather station network is the most promising, with a Pearson correlation coefficient above 0.86 and a relative bias below 4% for 100-m rainfall estimates at 5-min resolution. Microwave link rainfall observations contain the largest error, shown by a consistently larger coefficient of variation. The accuracy of all techniques improves when considering rainfall at larger scales, especially by increasing time intervals, with the strongest improvements found for microwave links for which errors are largely caused by their temporal sampling. Sparser networks are examined, showing that the decline in measurement accuracy only becomes significant when the link and station network density are reduced to less than half their levels in Amsterdam. |
英文关键词 | urban rainfall personal weather station simulation microwave link small-scale opportunistic sensing |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000456949300016 |
WOS关键词 | RAINDROP SIZE DISTRIBUTION ; POLARIMETRIC RADAR ; BACKHAUL LINKS ; PRECIPITATION ; PARAMETERS ; CLIMATE ; MODEL ; MAPS ; INTERPOLATION ; ATTENUATION |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
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/21795 |
专题 | 资源环境科学 |
作者单位 | 1.Royal Netherlands Meteorol Inst KNMI, R&D Observat & Data Technol, De Bilt, Netherlands; 2.Wageningen Univ & Res, Hydrol & Quantitat Water Management Grp, Wageningen, Netherlands; 3.Ecole Polytech Fed Lausanne, Lausanne, Switzerland; 4.Univ Bern, Inst Geog, Bern, Switzerland; 5.Univ Bern, Oeschger Ctr Climate Change Res, Bern, Switzerland |
推荐引用方式 GB/T 7714 | de Vos, L. W.,Raupach, T. H.,Leijnse, H.,et al. High-Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small-Scale Urban Rainfall[J]. WATER RESOURCES RESEARCH,2018,54(12):10293-10312. |
APA | de Vos, L. W.,Raupach, T. H.,Leijnse, H.,Overeem, A.,Berne, A.,&Uijlenhoet, R..(2018).High-Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small-Scale Urban Rainfall.WATER RESOURCES RESEARCH,54(12),10293-10312. |
MLA | de Vos, L. W.,et al."High-Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small-Scale Urban Rainfall".WATER RESOURCES RESEARCH 54.12(2018):10293-10312. |
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