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dc.contributor.authorSugahara, Shigetoshi [UNESP]
dc.contributor.authorRocha, Rosmeri Porfirio da
dc.contributor.authorYnoue, Rita Yuri
dc.contributor.authorSilveira, Reinaldo Bomfim da
dc.identifier.citationInternational Journal of Climatology, v. 35, p. 2922-2933, 2014.
dc.description.abstractIn the instrumental records of daily precipitation, we often encounter one or more periods in which values below some threshold were not registered. Such periods, besides lacking small values, also have a large number of dry days. Their cumulative distribution function is shifted to the right in relation to that for other portions of the record having more reliable observations. Such problems are examined in this work, based mostly on the two-sample Kolmogorov–Smirnov (KS) test, where the portion of the series with more number of dry days is compared with the portion with less number of dry days. Another relatively common problem in daily rainfall data is the prevalence of integers either throughout the period of record or in some part of it, likely resulting from truncation during data compilation prior to archiving or by coarse rounding of daily readings by observers. This problem is identified by simple calculation of the proportion of integers in the series, taking the expected proportion as 10%. The above two procedures were applied to the daily rainfall data sets from the European Climate Assessment (ECA), Southeast Asian Climate Assessment (SACA), and Brazilian Water Resources Agency (BRA). Taking the statistic D of the KS test >0.15 and the corresponding p-value <0.001 as the condition to classify a given series as suspicious, the proportions of the ECA, SACA, and BRA series falling into this category are, respectively, 34.5%, 54.3%, and 62.5%. With relation to coarse rounding problem, the proportions of series exceeding twice the 10% reference level are 3%, 60%, and 43% for the ECA, SACA, and BRA data sets, respectively. A simple way to visualize the two problems addressed here is by plotting the time series of daily rainfall for a limited range, for instance, 0–10 mm day−1.en
dc.relation.ispartofInternational Journal of Climatology
dc.sourceCurrículo Lattes
dc.subjectDaily rainfallen
dc.subjectChange in observing practiceen
dc.subjectDry daysen
dc.titleStatistical detection of spurious variations in daily raingauge data caused by changes in observation practices, as applied to records from various parts of the worlden
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Federal do Paraná (UFPR)
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho, Instituto de Pesquisas Meteorológicas - Campus Bauru, Bauru, Av. Luis Edmundo Carrijo Couibe s/n, Vargem Limpa, CEP 17033-360, SP, Brasil
dc.description.affiliationDepartamento de Ciências Atmosféricas, Universidade de São Paulo, Brazil
dc.description.affiliationInstituto Tecnológico SIMEPAR, Centro Politécnico da UFPR, Curitiba, Brazil
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho, Instituto de Pesquisas Meteorológicas - Campus Bauru, Bauru, Av. Luis Edmundo Carrijo Couibe s/n, Vargem Limpa, CEP 17033-360, SP, Brasil
dc.rights.accessRightsAcesso restrito
unesp.campusUniversidade Estadual Paulista (Unesp), Centro de Meteorologia (IPMet), Baurupt
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