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首页> 外文期刊>Frontiers in Digital Humanities >Assessing Homogeneity and Climate Variability of Temperature and Precipitation Series in the Capitals of North-Eastern Brazil
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Assessing Homogeneity and Climate Variability of Temperature and Precipitation Series in the Capitals of North-Eastern Brazil

机译:评估巴西东北部首府温度和降水序列的均一性和气候变化

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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 a??suspecta??, while most of the precipitation series was categorized as a??usefula??. 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.
机译:对巴西东北部(NEB)首府的9个气象站的51年数据集(1961年至2011年)进行了统计分析,以得出数据的均一性和气候信号,其中包括每日的降水总量以及平均,最低和最高温度变化性。探索了一个假设,即时间序列的不均匀性与影响该地区的气象系统之间存在联系。同质性分析的结果取决于所选的测试变量,测试算法和所选的显着性水平;所有或多或少的主观选择。温度序列的大部分被归类为“可疑物”,而降水序列的大部分被归类为“有用物”。显示和视觉检查时间序列可以证明专业知识的力量,并且可以进行更深入的数据分析。尽管温度序列出现多处断裂,NEB上仍出现温度和降水季节性变化的一致性。这两个系列似乎是耦合的。年内温度和降水范围增加,季节周期也增加。在DJF,MAM和SON期间,温度主要升高,而JJA的降低与湿润条件和更频繁的强降水事件有关。 SON和DJF地区的干旱状况大多有所增加,具体取决于当地干旱季节的时机。

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