| 基于均一化格点资料的全球变暖趋缓期中国气温变化特征分析 |
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| 引用本文： | 许艳,唐国利,张强. 基于均一化格点资料的全球变暖趋缓期中国气温变化特征分析[J]. 气候变化研究进展, 2017, 13(6): 569-577. DOI: 10.12006/j.issn.1673-1719.2017.060 |
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| 作者姓名： | 许艳 唐国利 张强 |
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| 作者单位： | 中国气象局国家气象信息中心, 北京 100081 |
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| 基金项目： | 公益性行业（气象）科研专项（GYHY201206013）；中国气象局气候变化专项（CCSF201702）；中国气象局气候变化专项（CCSF201701） |
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| 摘 要： | 利用1961-2014年水平分辨率为0.5°×0.5°的均一化气温网格数据，分析全球变暖趋缓期（1998-2014年）中国气温的变化特征。结果显示：1998-2014年中国气温上升趋缓明显，与增暖期（1985-1997年）相比，年平均气温和年平均最高气温由升温趋势转为降温趋势，分别为-0.05℃/10a和-0.11℃/10a，而年平均最低气温仍保持弱的上升趋势（0.06℃/10a）。全球变暖趋缓期中国的增暖型发生了显著变化：北方地区由增温趋势转为降温趋势，青藏高原和西南地区则呈现出相对强的增温趋势；从季节来看，冬季降温最强、夏季增温较其他季节偏强，而冬季（强降温）正是中国增暖趋缓的主要贡献季节。增温最强的要素仍然是最低气温。
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| 关 键 词： | 变暖趋缓 气温 变化特征 均一化 格点资料 |
| 收稿时间： | 2017-03-28 |
| 修稿时间： | 2017-06-09 |
Analysis of the Variation of the Air Temperature over China During the Global Warming Hiatus Period |
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| Xu Yan,Tang Guoli,Zhang Qiang. Analysis of the Variation of the Air Temperature over China During the Global Warming Hiatus Period[J]. Progressus Inquisitiones DE, 2017, 13(6): 569-577. DOI: 10.12006/j.issn.1673-1719.2017.060 |
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| Authors: | Xu Yan Tang Guoli Zhang Qiang |
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| Affiliation: | National Meteorological Information Center, China Meteorological Administration, Beijing 100081, China |
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| Abstract: | By using a new monthly temperature dataset from 1961 to 2014 over China by 0.5°×0.5° spatial resolution, the variation of the air temperature during the global warming hiatus period (1998-2014) was analyzed. It is found that, during the global warming hiatus period, the increasing trend of the mean and maximum air temperature over China indeed shifted, however the increasing trend of minimum air temperature over China didn't ceased, but only slowed down. The decrease in heating rate was mainly caused by the cooling trend in winter. The analysis showed that the warming type of China changed:the temperature in northern China showed a decrease trend, the temperature showed a relatively strong increase trend in Tibetan Plateau and southwestern region. For the seasonal means, the warming trend was very notable in summer but relatively weak in winter. For the elements, the strongest increase trend of temperature was the minimum temperature. |
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| Keywords: | global warming hiatus air temperature variation characteristics homogenization grid dataset |
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