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中国农学通报 ›› 2020, Vol. 36 ›› Issue (20): 92-100.doi: 10.11924/j.issn.1000-6850.casb19030090

所属专题: 农业气象 农业地理

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

中国日照时数时空变化特征及其影响分析

肖风劲, 张旭光, 廖要明, 刘秋锋   

  1. 国家气候中心,北京 100081
  • 收稿日期:2019-03-21 修回日期:2019-09-23 出版日期:2020-07-15 发布日期:2020-07-20
  • 作者简介:肖风劲,男,1973年出生,湖南湘乡人,研究员,博士,研究方向:气候变化影响评估研究。通信地址:100081 北京市中关村南大街46号 国家气候中心,E-mail:stellarg@163.com
  • 基金资助:
    国家重点研发计划“小麦生产系统对气候变化的响应机制及其适应性栽培途径”(2017YFD0300201);气候变化专项“卫星遥感在气候业务中的开发与应用”(CCSF201834)

Sunshine Duration in China: Variation Characteristics and Its Influence

Xiao Fengjin, Zhang Xuguang, Liao Yaoming, Liu Qiufeng   

  1. National Climate Center, Beijing 100081
  • Received:2019-03-21 Revised:2019-09-23 Online:2020-07-15 Published:2020-07-20

摘要:

为研究气候变化背景下中国日照时数的时空变化特征,基于中国2089个气象台站1961—2017年的观测数据,运用趋势分析、突变检测、相关分析等方法,分析中国不同区域日照时数时空变化特征及影响因素。结果表明:中国日照时数的空间分布特征为“南少北多”,并呈现显著减少趋势,其速率为 -45.8 h/10 a;西南地区在1989年发生突变,西北地区1983年发生突变,东北地区1985年发生突变,其他地区未发生突变;从季节上看,日照时数夏季最高,其次是春季和秋季,冬季最低;下降速率夏季最快,其次是秋季和冬季,春季变化幅度最小;日照时数与总云量、能见度、霾、降水量呈现显著负相关,与风速呈现显著正相关,与雾相关性不显著。

关键词: 日照时数, 时空分布, 趋势, 农业, 影响

Abstract:

The paper aims to study the spatio-temporal variation characteristics of sunshine duration in China under the background of climate change. Based on the observation data from 2089 national meteorological stations during 1961-2017, we analyzed the spatio-temporal variation characteristics of sunshine duration in different regions of China and the influencing factors by using the methods of the linear trend, partial correlation, and Mann-Kendall mutation. The results showed that the spatial distribution of sunshine duration was high in northern China and low in southern China, and had a significantly decreasing trend with a rate of -45.8 h/10 a. The sunshine duration had a mutation in 1989 in southwestern China, in 1983 in northwestern China, and in 1985 in northeastern China, and no mutation occurred in other regions. Summer had the highest sunshine duration, followed by spring, autumn and winter; and the decline rate was also the highest in summer, followed by autumn, winter and spring. Sunshine duration had a highly negative correlation with total cloud amount, visibility, haze, precipitation, while had a positive correlation with wind speed, and no significant correlation with fog.

Key words: sunshine duration, spatio-temporal distribution, trend, agriculture, influence

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