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中国农学通报 ›› 2016, Vol. 32 ›› Issue (20): 113-119.doi: 10.11924/j.issn.1000-6850.casb16010059

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

河西走廊东部云量的变化及其与气候因子的关系

马中华1,杨晓玲1,刘 蓉2   

  1. (1甘肃省武威市气象局,甘肃武威 733099;2甘肃省民勤县气象局,甘肃民勤 733300)
  • 收稿日期:2016-01-13 修回日期:2016-06-27 接受日期:2016-02-25 出版日期:2016-07-15 发布日期:2016-07-15
  • 通讯作者: 杨晓玲
  • 基金资助:
    甘肃省气象局科研研究项目“基于物联网的智能温室控制系统推广应用”(GSMACg2016-01);国家自然基金“气温升高和降水波动对半干旱区春小麦协同影响”(41305134)。

Cloud Amount Variation and Its Relationship with Climate Factors in Eastern Hexi Corridor

Ma Zhonghua1, Yang Xiaoling1, Liu Rong2   

  1. (1Wuwei Meteorological Bureau of Gansu Province, Wuwei Gansu 733099;2Minqin Meteorological Bureau of Gansu Province, Minqin Gansu 733300)
  • Received:2016-01-13 Revised:2016-06-27 Accepted:2016-02-25 Online:2016-07-15 Published:2016-07-15

摘要: 为了认识云的辐射反馈对气候变化研究的影响,利用河西走廊东部5个气象站1961—2013年总云量和低云量及其他气候资料,运用气候诊断分析方法,分析了河西走廊东部云量的时空分布及与气候因子的关系。结果表明:总云量和低云量自东北向西南递增。年、年代总云量和低云量均呈增多趋势,总云量、低云量的时间序列分别为5~7、5~6年的准周期,突变年份分别在1997、1987年。各季节总云量和低云量呈增多趋势,总云量的高峰在4—6月和9月,低谷在12月;低云量的高峰在7月,低谷在12月到次年1月。总云量和低云量与平均气温、降水呈显著正相关,与气温日较差、平均风速呈显著负相关。

关键词: 茶树, 茶树, 种质资源, 红茶, 生化组分

Abstract: In order to understand the influence of cloud radiation feedback on climate change, total cloud amount, low cloud amount and other climatic data of five meteorological stations in eastern Hexi Corridor during 1961 to 2013 were used, temporal and spatial distribution characteristics of cloud amount and its relationship with climate factors were analyzed by climate diagnosis analysis method. The results showed that the total and low cloud amount increased from the northeast to the southwest. The annual and decadal total and low cloud amount both showed an increasing trend, the time series of the total and low cloud amount had 5-7 years and 5-6 years quasi-periodic variation, respectively, and the abrupt year was 1997 and 1987, respectively. The total and low cloud amount in each season had an increasing trend, and the peak of the total cloud amount was observed from April to June and in September, a valley was found in December; the peak of low cloud amount was observed in July, a valley was found in December to January of the following year. The total and low cloud amount had significantly positive correlation with the average temperature and precipitation, and had significantly negative correlation with daily range of temperature and average wind speed.