Assessing Homogeneity and Climate Variability of Temperature and Precipitation Series in the Capitals of North-Eastern Brazil

Frontiers in Digital Humanities

a Silva, Isamara¹  Petta, Reinaldo A.²  Hä²  Medeiros, Deusdedit M.²  rg³  nsel, Stephanie⁴  Matschullat, Jö⁴  de Mendonç⁴ 

[1]Department of Geology, Federal University of Rio Grande do Norte, Natal, Brazil

[2]Interdisciplinary Environmental Research Center, Technische Universitä

[3]School of Sciences and Technology, Federal University of Rio Grande do Norte, Natal, Brazil

[4]t Bergakademie Freiberg, Freiberg, Germany

关键词: data quality;    climate indices;    extreme events;    Regional Climate Change;    seasonal cycle;    Seasonal trends;    Heavy precipitation;    drought;    Circulation anomalies;    El Nino Southern Oscillation;   

DOI  :  10.3389/feart.2016.00029

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

A 51-year dataset (1961 to 2011) from nine meteorological stations in the capitals of northeastern Brazil (NEB), with daily data of precipitation totals and of mean, minimum and maximum temperatures, was statistically analyzed for data homogeneity and for signals of climate variability. The hypothesis was explored that a connection exists between inhomogeneities of the time series and the meteorological systems influencing the region. Results of the homogeneity analysis depend on the selected test variable, the test algorithm and the chosen significance level; all more or less subjective choices. Most of the temperature series was classified as “suspect”, while most of the precipitation series was categorized as “useful”. Displaying and visually checking the time series demonstrates the power of expertise and may allow for a deeper data analysis. Consistent changes in the seasonality of temperature and precipitation emerge over NEB despite manifold breaks in the temperature series. Both series appear to be coupled. The intra-annual temperature and precipitation ranges have increased, along with an intensified seasonal cycle. Temperature mainly increased during DJF, MAM and SON, with decreases in JJA being related to wetter conditions and more frequent heavy precipitation events. Drought conditions mostly increased in SON and DJF, depending on the timing of the local dry season.

【 授权许可】

CC BY