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天水市云量对气候要素的影响研究
引用本文:袁雅萍,蒲金涌,陈薇,辛昌业.天水市云量对气候要素的影响研究[J].中国农学通报,2014,30(5):254-258.
作者姓名:袁雅萍  蒲金涌  陈薇  辛昌业
作者单位:1. 天水市麦积区气象局2. 甘肃省天水市气象局3. 天水市气象局
基金项目:麦积农业气象观测对比试验(2013-22).
摘    要:为了研究天水市云量对气候要素的影响,运用天水境内7个气象站1951—2010年60年的云量观测资料,分析总、低云量与相关气候因子的关系。结果表明,各级降水日数及云量相关性较显著。不同时段的降水量随云量变化比较明显。平均总云量增加1成,年降水量增加160 mm,春季降水量增加23 mm,夏季降水量增加79 mm,秋季降水量增加39 mm,冬季降水量增加3 mm。平均云量与气温的相关性时段性较强,云量增加1成,春季和夏季的平均气温分别降低0.7℃和0.5℃,秋季和冬季的气温与平均云量线性相关不显著。云量对日照的影响最为直接,云量增加1成,春季总日照时数减少104 h,夏季减少92 h,秋季减少85 h,冬季减少65 h。平均云量与相对湿度呈显著正相关,云量增加1成,夏季平均相对湿度增加4%,春、秋季增加3%,冬季增加2%。

关 键 词:组分  组分  
收稿时间:2013/7/18 0:00:00
修稿时间:2013/8/16 0:00:00

A Study on Influence of Clouds to Climate Factors in Tianshui
Yuan Yaping,Pu Jinyong,Chen Wei,Xin Changye.A Study on Influence of Clouds to Climate Factors in Tianshui[J].Chinese Agricultural Science Bulletin,2014,30(5):254-258.
Authors:Yuan Yaping  Pu Jinyong  Chen Wei  Xin Changye
Institution:1 Institute of Arid Meteorology, China Meteorological Administration/ Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province/ Key Open Laboratory of Arid Change and Disaster Reduction of CMA, Lanzhou 730020; 2Maiji Meteorological Bureau, Maiji Gansu 741020; 3Tianshui Agro-meteorological Stations, Tianshui Gansu 741018)
Abstract:In order to study the effects of cloud cover on climatic factors in Tianshui, based on the data of cloud mount in 1951 to 2010 in 7 weather stations in Tianshui, the relationship between cloud amount and its interrelated climatic factors had been analyzed. The results showed: the number of all level rain days, precipitation and amount of cloud were notability correlation. It also indicated that: the precipitation varied with cloud amount in which the amount of cloud increased by 10%, with the annual precipitation increased by 160 mm, spring precipitation increased by 23 mm, summer precipitation increased by 79 mm, autumn precipitation increased by 39 mm and winter precipitation increased by 3 mm. The correlation between cloud amount and temperature showed periodical change in which cloud amount increased by 10% with mean temperature decreased by 0.7℃ and 0.5℃ respectively in spring and summer, but there was no correlation between cloud and mean winter and autumn temperature. The sunshine hours was seriously influenced by cloud amount in which cloud amount increased by 10%, with the sunshine hours decreased by 104 h in spring, 92 h in summer, 85 h in autumn and 65 h in winter. There was positive correlative between mean cloud amount and relative humidity in which cloud amount increased summer, by 3% in spring and autumn, by 2% in winter. by 10%, with the relative humidity increased by 4% in
Keywords:research
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