Analysis of climate extremes indices over northeast Brazil from 1961 to 2014

被引:71
|
作者
Costa, Rafaela Lisboa [1 ]
de Mello Baptista, Gustavo Macedo [2 ]
Gomes, Heliofabio Barros [1 ]
dos Santos Silva, Fabricio Daniel [1 ]
da Rocha Junior, Rodrigo Lins [1 ]
Salvador, Mozar de Araujo [3 ]
Herdies, Dirceu Luis [4 ]
机构
[1] Univ Fed Alagoas, Inst Ciencias Atmosfer ICAT, Av Lourival Melo Mota S-N, BR-57072900 Maceio, Alagoas, Brazil
[2] Univ Brasilia, Inst Geociencias, BR-70910900 Brasilia, DF, Brazil
[3] Inst Nacl Meteorol INMET Eixo Monumental, Via S1 Sudoeste, BR-70680900 Brasilia, DF, Brazil
[4] Inst Nacl Pesquisas Espaciais CPTEC INPE, Ctr Previsao Tempo & Estudos Climat, BR-12630000 Cachoeira Paulista, SP, Brazil
来源
关键词
Trends; Temperature; Rainfall; Regional and sub-regional analysis; CLIMDEX; DAILY TEMPERATURE; MONTHLY RAINFALL; CLUSTER-ANALYSIS; PRECIPITATION; TRENDS; VARIABILITY; CIRCULATION; ALAGOAS; EVENTS; IMPACT;
D O I
10.1016/j.wace.2020.100254
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
An analysis of climate extremes indices was conducted for maximum temperatures (TMax), minimum temperatures (TMin), and daily rainfall data (PRCP) over the northeast region of Brazil for the period of 1961-2014. The indices were calculated for 96 weather stations using RClimDex software in a sub-regional study based on cluster analysis, as well as for each individual weather station, after a rigorous process of quality control, gap filling of missing values, and homogenization. The Mann-Kendall non-parametric trend test was employed to assess the statistical significance of the series. The results indicate unequivocal signs of heating. In the past decades, there were predominant trends of decrease in the percentage of cold nights (-8.4% days/decade), increase in the percentage of the number of warm nights (10.6% days/decade), increase in the number of days per decade in which the minimum temperature exceeded the threshold of 20 degrees C, and a trend showing an increase in heat waves. This was corroborated by the declining trend in the number of consecutive days in which TMin did not exceed the 10th percentile, and the increase in the number of consecutive days in which TMax exceeded the 90th percentile in the data distribution. With regard to PRCP, in most weather stations where there is a significant increase in consecutive dry days, there is also a trend of significant increase in consecutive wet days, thereby intensifying the seasonality, with the dry seasons becoming drier and the rainy seasons wetter. In most weather stations, a reduction was found in the total annual precipitation and in the frequency of rainy days. Moreover, in many stations, an increase in rainfall events that surpasses the threshold of 95% and 99% in the distribution was discovered. These factors highlight concerns of a region of Brazil marked by the scarcity of perennial water resources and the threat of desertification.
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页数:21
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