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Trends in temperature and precipitation extremes in historical (1961-1990) and projected (2061-2090) periods in a data scarce mountain basin, northern Pakistan

机译:历史(1961-1990)的温度和降水极值趋势和预计(2061-2090)数据稀缺山地盆地,巴基斯坦北部

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This study investigates the trends of precipitation and temperature extremes for the historical observations (1961-1990) and future period (2061-2090) in the Jhelum River Basin. Future trends are estimated by using ensemble mean of three general circulation models under RCP4.5 and RCP8.5. Therefore, statistical downscaling model has been used to downscale the future precipitation and temperature. A total of 15 precipitation and temperature indices were calculated using the RClimdex package. Man-Kendall and Sen's slope tests were used to detect the trends in climate extreme indices. Overall, the results of study indicate that there were significant changes in precipitation and temperature patterns as well as in the climate extremes in the basin for both observed as well as projected climate. Generally, more warming and increase in precipitation were observed, which increases from RCP4.5 to RCP8.5. For all the stations, increasing trends were found for both precipitation and temperature for twenty-first century at a 95% significance level. The frequency of warm days (TX90p), warm nights (TN90p), and summer days (SU25) showed significant increasing trends, alternatively the number of cold nights (TN10p) and cold days (TX10p) exhibited opposite behaviors. In addition, an increasing trend of warmest day (TXx) and coldest day (TNn) was observed. Our analysis also reveals that the number of very wet days (R90p) and heavy precipitation days (R10 mm) will likely increase in the future. Meanwhile, the Max 1-day (RX1-day) and 5-day (RX5-day) precipitation indices showed increasing trends at most of the stations of basin. The results of the study is of potential benefit for decision-makers to develop basin wide appropriate mitigation and adaptation measures to combat climate change and its consequences.
机译:本研究调查了JHELUM河流域历史观测(1961-1990)和未来期间(2061-2090)的降水和温度极值的趋势。通过在RCP4.5和RCP8.5下使用三个一般循环模型的集合均值来估计未来的趋势。因此,统计缩小模型已被用于降低未来降水和温度。使用RCLIMDEX包计算总​​共15个降水和温度指数。 Man-Kendall和Sen的斜坡测试用于检测气候极端指数的趋势。总体而言,研究结果表明,沉淀和温度模式的显着变化以及盆地中的气候极端以及观察到的气候和预计的气候。通常,观察到更多的变暖和沉淀的增加,从RCP4.5增加到RCP8.5。对于所有这些车站,在95%的意义水平下,发现两年沉淀和温度的增加趋势。温暖天(TX90P),温暖的夜晚(TN90P)和夏季(SU25)的频率显示出显着的趋势,或者寒冷夜间(TN10P)和寒冷的日子(TX10P)的数量表现出相反的行为。此外,观察到最热日(TXX)和最冷的一天(TNN)的增加趋势。我们的分析还揭示了非常潮湿的天数(R90P)和重度降水天(R10 mm)可能会增加未来。同时,最大1天(RX1日)和5天(RX5日)降水指数显示出盆地大部分车站的趋势增加。该研究的结果对于决策者来说,潜在的利益,以发展盆地广泛的缓解和适应措施,以打击气候变化及其后果。

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