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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Recent mean temperature trends in Pakistan and links with teleconnection patterns
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Recent mean temperature trends in Pakistan and links with teleconnection patterns

机译:巴基斯坦最近的平均气温趋势以及与遥相关型的联系

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Monthly, seasonal and annual trends in mean temperatures have been analysed in this study using data from 37 weather stations from the Pakistan Meteorological Department with records from 1952 to 2009. Statistical tests including Sen's slope and Mann-Kendall were applied to each of the 37 stations in order to determine the sign and slopes of trends and their statistical significance. The study reveals that the temperature has generally increased in Pakistan at all time scales analysed over the past few decades. March and the pre-monsoon season were the periods with the highest number of weather stations showing statistical significance, and also with the highest magnitudes of trends. Mean annual temperature increased around 0.36 °C/decade. This rise in temperature is slightly higher than other results found for Pakistan. The association between temperatures and certain teleconnection patterns, as well as the influence of the urban effect, might be among the causes of the trends found in this study. The largest number of correlations between mean temperatures and teleconnection patterns was found in March, April and May with NAO, ENSO and NCP, respectively. The North Atlantic Oscillation (NAO) may also have an influence on the temperatures of certain months in the monsoon season and particularly in August. At a seasonal resolution, NAO and NCP may control temperatures in the pre-monsoon season. The lowest number of sites exhibiting correlations was found in winter and in the post-monsoon seasons.
机译:本研究使用巴基斯坦气象局37个气象站的数据(1952年至2009年)进行了分析,分析了平均温度的月度,季节和年度趋势。对37个站中的每个站均进行了包括Sen坡度和Mann-Kendall在内的统计测试为了确定趋势的符号和斜率及其统计意义。研究表明,在过去几十年中,在所有时间范围内,巴基斯坦的气温普遍升高。 3月和季风前季节是具有统计意义的气象站数量最多的时期,也是趋势幅度最大的时期。年平均温度每十年升高约0.36°C。温度的升高略高于巴基斯坦的其他结果。温度和某些遥相关型之间的联系,以及城市效应的影响,可能是本研究发现趋势的原因之一。在3月,4月和5月分别与NAO,ENSO和NCP一起发现平均温度与遥相关型之间的最大相关性。北大西洋涛动(NAO)也可能对季风季节(尤其是8月)的某些月份的温度有影响。按照季节分辨率,NAO和NCP可以控制季风前季节的温度。在冬季和季风后季节发现相关性最小的站点。

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