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Trends in temperature extremes over nine integrated agricultural regions in China, 1961-2011

机译:1961-2011年中国9个综合农业区的极端温度趋势

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By characterizing the patterns of temperature extremes over nine integrated agricultural regions (IARs) in China from 1961 to 2011, this study performed trend analyses on 16 extreme temperature indices using a high-resolution (0.5 degrees x 0.5 degrees) daily gridded dataset and the Mann-Kendall method. The results show that annually, at both daytime and nighttime, cold extremes significantly decreased but warm extremes significantly increased across all IARs. Overall, nighttimes tended to warm faster than daytimes. Diurnal temperature ranges (DTR) diminished, apart from the mid-northern Southwest China Region and the mid-Loess Plateau Region. Seasonally, DTR widely diminished across all IARs during the four seasons except for spring. Higher minimum daily minimum temperature (TNn) and maximum daily maximum temperature (TXx), in both summer and winter, were recorded for most IARs except for the Huang-Huai-Hai Region; in autumn, all IARs generally encountered higher TNn and TXx. In all seasons, warming was observed at daytime and nighttime but, again, nighttimes warmed faster than daytimes. The results also indicate a more rapid warming trend in Northern and Western China than in Southern and Eastern China, with accelerated warming at high elevations. The increases in TNn and TXx might cause a reduction in agriculture yield in spring over Northern China, while such negative impact might occur in Southern China during summer. In autumn and winter, however, the negative impact possibly occurred in most of the IARs. Moreover, increased TXx in the Pearl River Delta and Yangtze River Delta is possibly related to rapid local urbanization. Climatically, the general increase in temperature extremes across Chinese IARs may be induced by strengthened Northern Hemisphere Subtropical High or weakened Northern Hemisphere Polar Vortex.
机译:通过描述1961年至2011年中国9个综合农业区(IAR)的极端温度模式,本研究使用高分辨率(0.5度x 0.5度)每日网格数据集和Mann对16个极端温度指数进行了趋势分析。 -肯德尔法。结果表明,在所有IAR中,无论白天还是晚上,极端寒冷的天气每年都明显减少,而温暖极端的天气却明显增加。总体而言,夜间的暖化速度往往比白天快。除中国西南部中部地区和黄土高原中部地区外,昼夜温度范围(DTR)减小。在季节性上,除了春季外,四个季节中所有IAR的DTR都大大减少。除黄淮海地区外,大多数IAR在夏季和冬季均记录到较高的最低每日最低温度(TNn)和最高每日最高温度(TXx)。在秋天,所有IAR通常都遇到较高的TNn和TXx。在所有季节中,白天和晚上都观察到变暖,但是夜间变暖的速度比白天快。结果还表明,中国北方和西部的变暖趋势比中国南方和东部更快,高海拔地区变暖加快。 TNn和TXx的增加可能会导致中国北部春季春季农业减产,而这种负面影响可能发生在夏季中国南部。但是,在秋季和冬季,大多数IAR都可能产生负面影响。此外,珠江三角洲和长江三角洲的TXx的增加可能与当地快速城市化有关。在气候上,中国IAR的极端温度总体升高可能是由北半球副热带高压的增强或北半球极涡的减弱引起的。

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  • 来源
    《Theoretical and applied climatology》 |2017年第4期|1279-1294|共16页
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    South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Guangdong, Peoples R China;

    South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Guangdong, Peoples R China;

    South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Ctr Water Resources & Environm Res, Guangzhou, Guangdong, Peoples R China|Sun Yat Sen Univ, Guangdong High Educ Inst, Key Lab Water Cycle & Water Secur Southern China, Guangzhou, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Ctr Water Resources & Environm Res, Guangzhou, Guangdong, Peoples R China|Sun Yat Sen Univ, Guangdong High Educ Inst, Key Lab Water Cycle & Water Secur Southern China, Guangzhou, Guangdong, Peoples R China;

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