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DOI | 10.1002/joc.5438 |
Three resampling approaches based on method of fragments for daily-to-subdaily precipitation disaggregation | |
Li, Xin1; Meshgi, Ali2; Wang, Xuan3; Zhang, Jingjie1; Tay, Serene Hui Xin1; Pijcke, Gerard1; Manocha, Nishtha1; Ong, Matthias2; Manh Tuan Nguyen2; Babovic, Vladan1 | |
2018-04-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2018 |
卷号 | 38页码:E1119-E1138 |
文章类型 | Article |
语种 | 英语 |
国家 | Singapore |
英文摘要 | Precipitation data of finer timescale and higher spatial density are crucial for continuous hydrological modelling and flood risk assessment. Disaggregation methods are often used to transform the coarser-timescale precipitation data into finer resolutions. The nonparametric approach based on method of fragments (MOF) has received broad attention in precipitation disaggregation literature, given its superiority in reproducing the at-site statistical attributes. However, a detailed literature review has shown that the MOF-based resampling approaches are mainly focused in the single-site precipitation disaggregation context, which may subject to limitations such as the unavailability of at-site precipitation records and the incapability to preserve the inter-site correlation structure. To address these issues, we propose three resampling approaches based on MOF. The first approach is a single-site interval-based resampling approach which only draws subdaily fragment vectors from at-site record. The second one extends the first one to a regionalized version where subdaily fragment vectors are drawn from both the at-site and neighbouring stations. The third one is a multi-site approach developed to preserve the observed inter-site correlation. The performances of the three methods are evaluated with applications to daily-to-hourly precipitation disaggregation at six rain gauges in Singapore and eight precipitation stations in Wangkuai reservoir catchment in northern China. An elaborate list of performance measures, including standard validation statistics, spatial correlation, inter-day connectivity, annual extreme analysis, and intra-day dry and wet spell characteristics are used to assess the performance. The proposed three methods are shown to be effective in reproducing the at-site attributes, and no significant deterioration of performance is observed when moving from the single-site method to the regionalized and multi-site versions. As expected, the multi-site approach is the only one method that is able to reconstruct the spatial correlation in the disaggregated precipitation field. The approaches can be applied for daily-to-subdaily precipitation disaggregation in different regions. |
英文关键词 | method of fragments precipitation disaggregation regionalized resampling spatial correlation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000431999600075 |
WOS关键词 | TEMPORAL RAINFALL DISAGGREGATION ; MULTIPLICATIVE CASCADE MODEL ; STOCHASTIC GENERATION ; MESOSCALE RAINFALL ; STREAMFLOWS ; SINGAPORE ; VARIABILITY ; FLOWS |
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/37190 |
专题 | 气候变化 |
作者单位 | 1.Natl Univ Singapore, Dept Civil & Environm Engn, Block E1A,07-03,1 Engn Dr 2, Singapore 117576, Singapore; 2.Singapores Natl Water Agcy, PUB, Singapore, Singapore; 3.DHI Water & Environm S Pte Ltd, Dept Modelling & Hydroinformat Serv, Singapore, Singapore |
推荐引用方式 GB/T 7714 | Li, Xin,Meshgi, Ali,Wang, Xuan,et al. Three resampling approaches based on method of fragments for daily-to-subdaily precipitation disaggregation[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38:E1119-E1138. |
APA | Li, Xin.,Meshgi, Ali.,Wang, Xuan.,Zhang, Jingjie.,Tay, Serene Hui Xin.,...&Babovic, Vladan.(2018).Three resampling approaches based on method of fragments for daily-to-subdaily precipitation disaggregation.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38,E1119-E1138. |
MLA | Li, Xin,et al."Three resampling approaches based on method of fragments for daily-to-subdaily precipitation disaggregation".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38(2018):E1119-E1138. |
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