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Climate variability in Jordan

机译:约旦的气候变化

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摘要

Climate variability in Jordan is very sensitive to water resources, which are at the verge of depletion because annual per-capita water is at one of the lowest levels in the world. In order to address such sensitivity, it is necessary to examine effective meteorological factors such as annual, seasonal and monthly precipitation and extreme (maximum and minimum) temperature time series. Fourteen representative meteorological stations are chosen for the study of climate variability calculations in Jordan. Annual and monthly time series of precipitation, maximum and minimum temperatures are tested by the runs (Swed-Eisenhart) homogeneity test. Consequently, the sequential version of the Mann-Kendall rank trend and the linear trend tests are applied to the interannual means, coefficient of variation and skewness parameters. Signals of climate trends such as warming in maximum temperature, more statistically significant warming in minimum temperature, decreasing trends in daily temperature range and statistically insignificant decreasing precipitation trends are detected, which are enhanced by heat island, urbanization, pollution and aerosols effects. Two spells are recognized in the time series, where the first spell started in the early 1970s and the second beyond the year 1992 with a warming trend in maximum temperature and a farther warming in minimum temperature resulting in a decreasing trend in the diurnal temperature range that is associated with a slight decrease in precipitation. The interannual coefficient of variation of maximum and minimum temperatures reveals increasing trends in the majority of the stations while they exhibit an apparent decreasing trend in diurnal temperature range and a general, but insignificant, decreasing trend in precipitation is observed. Copyright (C) 2007 Royal Meteorological Society.
机译:约旦的气候变异性对水资源非常敏感,水资源正处于枯竭的边缘,因为人均年用水量处于世界最低水平之一。为了解决这种敏感性,有必要检查有效的气象因素,例如年,季和月降水量以及极端(最高和最低)温度时间序列。选择了14个代表性的气象站来研究约旦的气候变异性计算。通过运行(Swed-Eisenhart)均匀性测试来测试降水的年度和每月时间序列,最高和最低温度。因此,将Mann-Kendall秩趋势和线性趋势检验的顺序版本应用于年平均,变异系数和偏度参数。可以检测到气候趋势的信号,例如最高温度的变暖,最低温度的变暖在统计上更为显着,每日温度范围的下降趋势以及降水在统计上无意义的下降趋势,这些信号通过热岛,城市化,污染和气溶胶效应得到增强。时间序列中识别出两个咒语,其中第一个咒语始于1970年代初,第二个咒语始于1992年,其最高温度呈上升趋势,而最低温度呈进一步上升趋势,导致昼夜温度范围呈减小趋势。与降水略有减少有关。最高和最低温度的年际变化系数揭示了大多数台站的上升趋势,而它们在昼夜温度范围内表现出明显的下降趋势,并且观测到了总体的但不明显的下降趋势。皇家气象学会(C)2007。

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