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Temporal and spatial variation of 10-day mean air temperature in Northwestern China

机译:中国西北地区10天平均气温的时空变化

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摘要

Both inter- and intra-annual changes in air temperature are impacted by global climate change. Sine curves, such as T=Asin(ωt+φ), adjust the 10-day mean air temperature T contributed by the corresponding number of 10-day t within a year. Based on the curve, relative indices were defined as follows: A, indicating the annual maximum 10-day air temperature; t~(LIP(0)) and t~(RIP(0)), representing the starting and ending time of the warm season; t~(LIP(10)) and t~(RIP(10)), indicating the starting and ending time of the growing season; l~(ws) and l~(gs), denoting the length of the warm and growing seasons. The objective of this study was to evaluate the inter- and intra-annual distribution characteristics of the 10-day mean air temperature and the associated spatial patterns, changing trends, and abrupt points in 128 meteorological stations across Northwestern China during 1961 to 2010 by using the selected indices. The results showed that the 2010s had the fastest increase in air temperature during the study period across the study area. Altitude was an important factor affecting the selected indices. Annual mean air temperature (T_(mean)) and A were high in low-altitude areas, where the warm and growing season came earlier and ended later, and vice versa. The values of T_(mean) and A had increased by 1.65 and 0.65 ℃ during the past 50 years, respectively. The warm and growing season had come earlier by 9 and 7.5 days and ended later by 7.5 and 6 days during the past 50 years, respectively. Therefore, the warm season has gotten longer by 16 days and the growing season by 14 days in the study area during the past 50 years. The abrupt increase of T_(mean), A, t~(LIP(0)) , t~(RIP(0)), t-~(LIP)(10), t~(RIP(10)), l~(ws), and l~(gs) detected at the 0.05 significance level took place in the late 1960s and that of A occurred in the late 1980s. The inter- and intra-annual distribution of air temperature in Northwestern China has changed during the last five decades, and it is reasonable to expect those changes to continue for a period under global climate change.
机译:年度间和年度内气温的变化都受到全球气候变化的影响。正弦曲线(例如T = Asin(ωt+φ))可调整10天平均气温T,该平均气温T由一年中相应的10天t贡献。根据该曲线,相对指数定义如下:A,表示年度最高10天气温; t〜(LIP(0))和t〜(RIP(0)),分别代表暖季的开始和结束时间; t〜(LIP(10))和t〜(RIP(10)),表示生长季节的开始和结束时间; l〜(ws)和l〜(gs),表示温暖季节和生长季节的长度。这项研究的目的是评估1961-2010年中国西北地区128个气象站10天平均气温的年际和年内分布特征以及相关的空间格局,变化趋势和突变点。选定的索引。结果显示,在整个研究区域,2010年代的气温上升最快。海拔高度是影响所选指数的重要因素。在低海拔地区,年平均气温(T_(mean))和A较高,那里的温暖和生长季节较早,而较晚结束,反之亦然。在过去的50年中,T_(平均值)和A值分别增加了1.65和0.65℃。在过去的50年中,温暖和生长期分别提前了9天和7.5天,而后分别结束了7.5天和6天。因此,在过去的50年中,研究区域的温暖季节延长了16天,生长季节延长了14天。 T_(平均值),A,t〜(LIP(0)),t〜(RIP(0)),t ~~(LIP)(10),t〜(RIP(10)),l〜 (ws)和l〜(gs)的显着性水平为0.05,发生在1960年代后期,A的发生在1980年代后期。在过去的五十年中,中国西北地区的年际和年内气温分布发生了变化,可以合理地预期,在全球气候变化的影响下,这些变化将持续一段时间。

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  • 来源
    《Theoretical and applied climatology》 |2015年第2期|285-298|共14页
  • 作者单位

    Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China;

    College of Forest Resources and Environment, Nanjing Forestry University, No.159 Lonpan Road, Nanjing, Jiangsu 210037, China;

    Zhejiang University of Finance and Economics, Hangzhou, Zhejiang 310018, China;

    Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China;

    Gansu administration of surveying mapping and Geo-information, Lanzhou, Gansu 730000, China;

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