Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80072
Title: Multisite rainfall downscaling and disaggregation in a tropical urban area
Authors: Qin, Xiaosheng
Lu, Yan
Keywords: DRNTU::Engineering::Civil engineering::Water resources
Issue Date: 2013
Source: Lu, Y., & Qin, X. (2014). Multisite rainfall downscaling and disaggregation in a tropical urban area. Journal of Hydrology, 509, 55-65.
Series/Report no.: Journal of hydrology
Abstract: A systematic downscaling-disaggregation study was conducted over Singapore Island, with an aim to generate high spatial and temporal resolution rainfall data under future climate-change conditions. The study consisted of two major components. The first part was to perform an inter-comparison of various alternatives of downscaling and disaggregation methods based on observed data. This included (i) single-site generalized linear model (GLM) plus K-nearest neighbor (KNN) (S-G-K) vs. multisite GLM (M-G) for spatial downscaling, (ii) HYETOS vs. KNN for single-site disaggregation, and (iii) KNN vs. MuDRain (Multivariate Rainfall Disaggregation tool) for multisite disaggregation. The results revealed that, for multisite downscaling, M-G performs better than S-G-K in covering the observed data with a lower RMSE value; for single-site disaggregation, KNN could better keep the basic statistics (i.e. standard deviation, lag-1 autocorrelation and probability of wet hour) than HYETOS; for multisite disaggregation, MuDRain outperformed KNN in fitting interstation correlations. In the second part of the study, an integrated downscaling-disaggregation framework based on M-G, KNN, and MuDRain was used to generate hourly rainfall at multiple sites. The results indicated that the downscaled and disaggregated rainfall data based on multiple ensembles from HadCM3 for the period from 1980 to 2010 could well cover the observed mean rainfall amount and extreme data, and also reasonably keep the spatial correlations both at daily and hourly timescales. The framework was also used to project future rainfall conditions under HadCM3 SRES A2 and B2 scenarios. It was indicated that the annual rainfall amount could reduce up to 5% at the end of this century, but the rainfall of wet season and extreme hourly rainfall could notably increase.
URI: https://hdl.handle.net/10356/80072
http://hdl.handle.net/10220/18959
ISSN: 0022-1694
DOI: http://dx.doi.org/10.1016/j.jhydrol.2013.11.027
Rights: © 2013 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Hydrology, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI: http://dx.doi.org/10.1016/j.jhydrol.2013.11.027].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

Files in This Item:
File Description SizeFormat 
Manuscript.pdfMain article814.04 kBAdobe PDFThumbnail
View/Open
Figures.pdfFigures933.69 kBAdobe PDFThumbnail
View/Open

Google ScholarTM

Check

Altmetric

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.