GSTDTAP  > 气候变化
DOI10.1002/joc.4773
Trends and variability in extremes of precipitation in Curitiba - Southern Brazil
Pedron, Isabel Tamara1; Silva Dias, Maria A. F.2; Dias, Sandra de Paula3; Carvalho, Leila M. V.4,5; Freitas, Edmilson D.2
2017-03-15
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2017
卷号37期号:3
文章类型Article
语种英语
国家Brazil; USA
英文摘要

Based on the daily rainfall data since 1889 in Curitiba, one of the largest cities in southern Brazil, a trend towards increased precipitation and more intense rainfall can be seen. The annual and seasonal volume of rainfall has increased, amounts greater than 10, 20 and 40mm being observed more often, but with a reduction in the number of rainy days and the number of days with rainfall below 10mm. Seasonal 95th percentile series have increased in summer, fall and winter. In addition, several indices of climate extremes presented significant increasing trends: monthly maximum 1-day precipitation, annual total precipitation greater than 95th and 99th percentiles, number of consecutive dry days and the daily intensity index. Generalized extreme value (GEV) distribution function parameters also indicated higher occurrence of extremes detected by the increase in both the scale parameter sigma and the location parameter in summer, fall and winter. The return time for severe rainfall declined in the second half of the period compared to the first, indicating more frequent occurrence of future extreme events. The main climate indices affecting the 95th percentile series were sea surface temperature (SST), South Atlantic Convergence Zone (SACZ) and Southern Oscillation Index (SOI) during spring, and Atlantic Multi-decadal Oscillation (AMO), Large-Scale Index for South America Monsoon (LISAM) and SOI during the summer, which explained variability of the extremes at around 20 and 13%, respectively in each season. Regarding the variability of summer, fall and spring total rainfall, they presented values around 20% for the explained variance due to climate indices. Other factors should be investigated to explain the variability such as urbanization, air pollution and local circulations. Dominant oscillation periods in the time series constructed with one monthly extreme appeared at 3 to 8-year (inter-annual) cycles, with 12years (decadal) and around 30-64years on the inter-decadal scale. These oscillations have resonance with SOI, SACZ and Southern Annular Mode (SAM) indices (high frequencies), and Pacific Decadal Oscillation (PDO) and AMO (low frequency).


英文关键词rainfall extreme events climate trends return times climate indices South America wavelets GEV function
领域气候变化
收录类别SCI-E
WOS记录号WOS:000395349500010
WOS关键词ATLANTIC CONVERGENCE ZONE ; PACIFIC DECADAL OSCILLATION ; SEA-SURFACE TEMPERATURE ; LA-NINA EVENTS ; LEVEL JET EAST ; INTERDECADAL VARIABILITY ; WAVELET ANALYSIS ; CONVECTIVE PRECIPITATION ; AMERICAN PRECIPITATION ; INTENSE PRECIPITATION
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/37324
专题气候变化
作者单位1.Univ Estadual Oeste Parana, Ctr Ciencias Agr, Rua Pernambuco 1777, Marechal Candido Rodondo, Brazil;
2.Univ Sao Paulo, Dept Ciencias Atmosfer, Sao Paulo, Brazil;
3.Univ Brasilia, Ctr Int Fis Materia Condensada, Brasilia, DF, Brazil;
4.Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA;
5.Univ Calif Santa Barbara, Earth Res Inst, Santa Barbara, CA 93106 USA
推荐引用方式
GB/T 7714
Pedron, Isabel Tamara,Silva Dias, Maria A. F.,Dias, Sandra de Paula,et al. Trends and variability in extremes of precipitation in Curitiba - Southern Brazil[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(3).
APA Pedron, Isabel Tamara,Silva Dias, Maria A. F.,Dias, Sandra de Paula,Carvalho, Leila M. V.,&Freitas, Edmilson D..(2017).Trends and variability in extremes of precipitation in Curitiba - Southern Brazil.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(3).
MLA Pedron, Isabel Tamara,et al."Trends and variability in extremes of precipitation in Curitiba - Southern Brazil".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.3(2017).
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