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近50a山东中部地区四季开始日期及长度变化特征
引用本文:环海军,刘岩,姚丹丹.近50a山东中部地区四季开始日期及长度变化特征[J].新疆气象,2017,11(3):79-85.
作者姓名:环海军  刘岩  姚丹丹
作者单位:山东省淄博市气象局,山东省淄博市气象局,山东省淄博市气象局
基金项目:山东省气象局气象科学技术研究项目“鲁中地区极端降水事件时空变化特征及暴雨强度公式分区研究”(2016sdqxm13)
摘    要:利用山东中部地区8个气象站1966—2015年逐日气温观测资料,用5日滑动平均气温作为划分依据,结合气候趋势法、Mann-Kendall法和经验正交分解法,对山东中部地区近50 a的四季开始日期及长度时空变化特征进行分析。结果表明:山东中部地区春季和夏季开始日期呈提前趋势,秋季和冬季呈推迟趋势,其中,夏季和冬季开始日期在1993年发生突变,四季开始日期的主要空间变化趋势一致,秋季变化强度中心在中北部平原,其他三季变化强度中心均出现在中部地区,四季开始日期空间变化规律在第二特征向量上呈现区域变化的不一致性。冬季日数最多,其次为夏季,春季日数最少,春季和冬季日数呈减少趋势,冬季减少趋势显著,气候倾向率为-2.98 d/10 a,夏季和秋季日数呈增加趋势,夏季日数增加显著,四季日数主要空间变化规律一致,强度中心在中部地区,四季日数空间变化规律在第二特征向量上存在不一致性,其中,夏季和秋季第二特征向量呈现南部山区与其他地区不同。

关 键 词:四季开始日期  四季长度  时空变化特征  气候趋势系数
收稿时间:2017/2/16 0:00:00
修稿时间:2017/3/6 0:00:00

Variation characteristics of the beginning dates and length of different seasons in the Middle Area of Shandong Province in recent 50 years
Institution:Zibo Meteorological Bureau of Shandong province,Zibo,Zibo Meteorological Bureau of Shandong province,Zibo,Zibo Meteorological Bureau of Shandong province,Zibo
Abstract:Based on daily air temperature data in eight weather stations of the middle area of Shandong Province from 1966 to 2015, using methods of 5-day overlapping mean air temperature, climate trending rate, Mann-Kendall and empirical orthogonal function, temporal and spatial variation characteristics of the beginning dates and length of the seasons in recently 50 years were analyzed. The result showed that the beginning dates of spring and summer had an advanced trend with time, what were postponed in autumn and winter, and the abrupt changes in beginning dates of summer and winter both occurred in 1993. The main spatial variation of beginning dates of different seasons was consistent, the intensity center of autumn was in the north central plains, and the other seasons were in the central regions. The second eigenvector of spatial variation of beginning dates of different seasons presented different spatial variation. Days of winter were the most, followed by summer, and days of spring were the least. It had a decreased trend with time in spring and winter, what was significant in winter with a climate trending rate of -2.98 days per ten years. It had an increased trend with time in winter and autumn, what was significant in summer. The main spatial variation of days of different seasons was consistent, the intensity center was in the central regions. The second eigenvector of spatial variation of days of different seasons presented different spatial variation, what presented different spatial variation between southern mountain areas and other regions of the days of summer and autumn.
Keywords:season beginning dates  season length  temporal and spatial variation characteristics  climate trending rate
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