dc.contributor.authorMandapaka, Pradeep
dc.contributor.authorQin, Xiaosheng
dc.date.accessioned2014-05-12T01:49:42Z
dc.date.available2014-05-12T01:49:42Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.citationMandapaka, P. V., & Qin, X. (2013). Analysis and Characterization of Probability Distribution and Small-Scale Spatial Variability of Rainfall in Singapore Using a Dense Gauge Network. Journal of Applied Meteorology and Climatology, 52(12), 2781-2796.en_US
dc.identifier.issn1558-8432en_US
dc.identifier.urihttp://hdl.handle.net/10220/19313
dc.description.abstractHourly rainfall measurements from a network of 49 rain gauges on the tropical island of Singapore are analyzed to characterize variability of rainfall for temporal and spatial scales ranging from 1 to 24 h and from 1 to 45 km, respectively. First, the probability distributions of rain rates are characterized using the method of L moments. The analysis showed that the Pearson type-3 (PE3) distribution best fitted the rain rates for all time scales of concern. The parameters of the PE3 distribution are found to be related to the time scale through simple power laws. Second, the spatial structure of rainfall is characterized using spatial correlations. The decay of correlations with intergauge distance is parameterized using a powered-exponential function. In general, the e-folding correlation distance (distance at which the correlation drops to 1/e) varied from 10 km at hourly scales to 33 km at daily scales. The study also examined diurnal, seasonal, and anisotropic patterns in the spatial correlation structure of rainfall. The rainfall patterns are smoothest in December and January and are most variable in February, April, and October. Diurnal analysis of spatial correlations showed that the rainfall patterns are smoothest in the early hours between 0100 and 0600 local time and are most variable during the afternoon between 1500 and 1900 local time. The results also showed complex anisotropic patterns in spatial correlations, with considerable dependence of rainfall orientation on spatial scale and the time of the year.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesJournal of applied meteorology and climatologyen_US
dc.rights© 2013 American Meteorological Society. This paper was published in Journal of Applied Meteorology and Climatology and is made available as an electronic reprint (preprint) with permission of American Meteorological Society. The paper can be found at the following official DOI: [http://dx.doi.org/10.1175/JAMC-D-13-0115.1].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.en_US
dc.subjectDRNTU::Engineering::Civil engineering::Water resources
dc.subjectDRNTU::Science::Physics::Meteorology and climatology
dc.titleAnalysis and characterization of probability distribution and small-scale spatial variability of rainfall in Singapore using a dense gauge networken_US
dc.typeJournal Article
dc.contributor.researchEarth Observatory of Singapore
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1175/JAMC-D-13-0115.1
dc.description.versionPublished versionen_US


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