首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Analysis of spatiotemporal variability in temperature extremes in the Yellow and Yangtze River basins during 1961-2014 based on high-density gauge observations
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Analysis of spatiotemporal variability in temperature extremes in the Yellow and Yangtze River basins during 1961-2014 based on high-density gauge observations

机译:基于高密度仪观测

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The Yellow and Yangtze River basins are the most important basins in China due to their environment and natural and socioeconomic conditions, and they are highly sensitive to extreme climate events. In this study, we used daily maximum and minimum temperature data gathered from 892 meteorological stations to analyse the spatiotemporal variations in temperature extremes in the Yellow and Yangtze River basins during 1961-2014 and identified correlations with the geographic location and atmospheric circulation patterns. The results indicated that annual mean maximum and minimum temperatures (TXm and TNm), most warm extremes and some cold extremes (minimum of the minimum temperature and maximum temperature, TNn and TXn) generally showed low values in the northwestern region of the Yellow and Yangtze basins, while the diurnal temperature range (DTR) and some cold extremes (ice days, ID0 and frost days, FD0) were generally higher in the northwest of the two basins. TXm, TNm, all warm extremes and some cold extremes (TNn and TXn) showed significant increasing trends in both basins. The increase in the extreme temperature was between 0.17-0.38 degrees C/decade in the Yellow basin, while the interval was 0.15-0.38 degrees C/decade in the Yangtze basin. DTR decreased by -0.07 days/decade in the former and -0.05 days/decade in the latter. Furthermore, warm event days increased by 1.38-3.52 and 1.42-2.65 days/decade in the Yellow and Yangtze basins, respectively. At the same time, the cold event days decreased by -1.90 to -3.47 and -0.20 to -2.70 days/decade in the respective basins. In terms of the spatial patterns, most stations that displayed significant trends were located over the Loess Plateau in the Yellow River basins; Sichuan basin and the lower reaches of the Yangtze River basins. Moreover, almost all of the temperature extremes exhibited the largest trends in spring and winter in the two basins. Most temperature extremes showed strong correlations with longitude and altitude and the Atlantic Multidecadal Oscillation (AMO) displayed significant correlations with almost all of the temperature extremes, except DTR, TNn and TXn; the East Atlantic/Western Russia (EA/WR) was also related to many temperature extremes. Finally, most temperature observations showed abrupt changes in the 1990s, and the timing in the Yangtze River basin was generally later than that in the Yellow River basin.
机译:由于环境和自然和社会经济条件,黄色和长江盆地是中国最重要的盆地,它们对极端气候事件非常敏感。在这项研究中,我们使用了从892个气象站收集的每日最大和最小温度数据,以分析1961 - 2014年黄色和长江盆地温度极值的时空变化,并确定了与地理位置和大气循环模式的相关性。结果表明,年均最大和最小温度(TXM和TNM),最温暖的极端和一些冷极端(最小温度和最高温度,TNN和TXN的最小值)通常在黄色和长江的西北地区显示出低值盆地,而昼夜温度范围(DTR)和一些冷极端(冰天,ID0和FD0,FD0)在两种盆地的西北部通常更高。 TXM,TNM,所有温暖的极端和一些冷极端(TNN和TXN)显示出两个盆地的显着增加趋势。在黄色盆地中,极端温度的增加在0.17-0.38摄氏度之间,而在长江盆地中的间隔为0.15-0.38摄氏度。 DTR在前者中减少-0.07天/十年,后者--0.05天/十年。此外,黄色和长江盆地的温暖事件日分别增加1.38-3.52和1.42-2.65天/十年。与此同时,寒冷的事件日在相应盆地中减少-1.90至-3.47和-0.20至-2.70天/十年。就空间模式而言,大多数显示出显着趋势的地区都位于黄河流域的黄土高原上;四川盆地和长江盆地的下游。此外,几乎所有的温度极端都在两个盆地中展示了春天和冬季的最大趋势。最极端的极端温度与经度和高度显示出强烈的相关性,大西洋多型振荡(AMO)与几乎所有的温度极值显示出显着的相关性,除DTR,TNN和TXN之外;东部大西洋/西俄罗斯(EA / WR)也与许多温度有关。最后,大多数温度观察显示了20世纪90年代的突然变化,长江盆地的时机通常比黄河流域更晚。

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