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A detailed framework for the characterization of rainfall climatology in semiarid watersheds

机译:半干旱流域降雨气候特征描述的详细框架

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摘要

The identification of spatial and temporal rainfall climatology patterns is crucial for hydrometeorological studies over semiarid watersheds, which frequently face water distribution conflicts and socioeconomic issues due to water scarcity. Thus, the objective of this study was to propose a comprehensive approach for the characterization of rainfall climatology over semiarid watersheds. Monthly rainfall time series (1962-2015) with up to 30% of gaps measured in 56 rain gauges in the Piranhas-Acu Watershed-Brazilian semiarid region-were used. Data gaps were filled through a combination of simple spatial interpolation techniques. Principal component analysis and cluster analysis identified two homogeneous rainfall subregions in the basin: C1, in the upper portion, and C2, in the middle and lower portions. Rainfall volumes in C2 were up to 23.5% smaller than those in C1, due to orographic structures which contribute to aridity in this region. Rainfall anomalies were calculated in each cluster through the modified Rainfall Anomaly Index (mRAI) and were associated with the phases of the El Nino-Southern Oscillation (ENSO) and the Atlantic Meridional Mode (AMM). In years when the ENSO (AMM) was in its positive (negative) phase, there was a higher probability of occurrence of months with above-average rainfall, while the opposite was also true. Results showed that the effects of the patterns are mutually influenced, which has been previously found at larger scales. Finally, mRAI trends were identified through the Mann-Kendall test, which indicated significant negative trends in C1 and C2, especially during the wet season.
机译:对于半干旱流域的水文气象研究而言,确定时空降雨气候模式是至关重要的,因为半干旱流域经常因缺水而面临水资源分配冲突和社会经济问题。因此,本研究的目的是提出一种表征半干旱流域降雨气候特征的综合方法。使用了Piranhas-Acu分水岭-巴西半干旱地区的56个雨量计中高达30%的差距的月降雨时间序列(1962-2015)。通过简单的空间插值技术的组合填补了数据空白。主成分分析和聚类分析确定了盆地中两个均匀的降雨子区域:上部为C1,中部和下部为C2。由于地形结构导致该地区的干旱,C2的降雨量比C1的降雨量最多减少23.5%。通过修改后的降雨异常指数(mRAI)计算每个群集中的降雨异常,并将其与厄尔尼诺-南方涛动(ENSO)和大西洋子午线模式(AMM)的阶段相关联。在ENSO(AMM)处于正(负)阶段的年份中,降雨量高于平均水平的月份发生的可能性更高,而相反的情况也是如此。结果表明,图案的效果是相互影响的,这是以前在较大规模上发现的。最后,通过Mann-Kendall检验确定了mRAI趋势,该趋势表明C1和C2有明显的负趋势,尤其是在雨季。

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  • 来源
    《Theoretical and applied climatology》 |2020年第2期|109-125|共17页
  • 作者单位

    Univ Fed Rio Grande Norte UFRN Ctr Ciencias Exatas & Terra Programa Posgrad Ciencias Climat BR-59078970 Natal RN Brazil|Univ Rennes 2 CNRS COSTEL LETG UMR 6554 Rennes Bretagne France;

    Univ Fed Rio Grande Norte UFRN Ctr Ciencias Exatas & Terra Programa Posgrad Ciencias Climat BR-59078970 Natal RN Brazil|Inst Fed Piaui IFPI Corrente Piaui Brazil;

    Univ Fed Rio Grande Norte UFRN Ctr Ciencias Exatas & Terra Programa Posgrad Ciencias Climat BR-59078970 Natal RN Brazil|Univ Fed Rio Grande Norte UFRN Ctr Ciencias Exatas & Terra Dept Ciencias Atmosfer & Climat Natal RN Brazil;

    Univ Fed Rio Grande Norte UFRN Ctr Ciencias Exatas & Terra Programa Posgrad Ciencias Climat BR-59078970 Natal RN Brazil;

    Univ Fed Rio Grande Norte UFRN Ctr Ciencias Exatas & Terra Programa Posgrad Ciencias Climat BR-59078970 Natal RN Brazil|Univ Fed Rio Grande Norte UFRN Escola Ciencias & Tecnol Natal RN Brazil;

    Univ Rennes 2 CNRS COSTEL LETG UMR 6554 Rennes Bretagne France;

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