Extreme Temperature Trends in the Beninese Niger River Basin (Benin)

Yarou Halissou, A. Eric, Obada Ezéchiel, Biao Ibukun Eliézer
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引用次数: 1

Abstract

In the context of climate change, the study of the variability of the climatic extremes in several regions of the world is of capital importance. This study has as main objective to analyze the variability of extreme temperature events in the Beninese basin of the Niger River for the recent and the near future. To achieve this objective, seven (07) extreme temperature indices based on historical daily temperature observations (1976 to 2019) and REMO RCM simulation outputs of RCP4.5 and RCP8.5 scenarios (2021-2050) were calculated. The obtained results were represented by calculating the means for each index and analyzing the trends and their significance by the Mann-Kendall method. The results show that the indices of extreme temperature intensity (TNn, TXx, and DTR), and those related to the frequency of warm sequences (WSDI, TN90p and TX90p) have experienced a significant increase in the past. This increase will continue until 2050. In contrast, the cold sequence frequency index (CSDI) decrease over the historical period as well as over the future period. These indices show much more change with the RCP8.5 scenario than with the RCP4.5 of the REMO climate model. Only the TXx and CSDI indices show statistically significant changes at all stations.
贝宁-尼日尔河流域(贝宁)极端气温趋势
在气候变化的背景下,研究世界若干地区极端气候的变率是非常重要的。本研究的主要目的是分析尼日尔河贝宁盆地最近和近期极端温度事件的变化。为了实现这一目标,基于历史日温度观测(1976 - 2019)和RCP4.5和RCP8.5情景(2021-2050)的REMO RCM模拟输出,计算了7(07)个极端温度指数。通过计算各指标的均值,用Mann-Kendall方法分析各指标的变化趋势及其显著性来表示所得结果。结果表明:极端温度强度指数(TNn、TXx、DTR)以及与暖序列频率相关的指数(WSDI、TN90p、TX90p)在过去有显著的增加;这种增长将持续到2050年。相比之下,冷序列频率指数(CSDI)在历史时期和未来时期均呈下降趋势。这些指数在RCP8.5情景下的变化要比在REMO气候模式RCP4.5情景下的变化大得多。各站只有TXx和CSDI指数有显著的统计学变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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