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高原气象  2017, Vol. 36 Issue (6): 1619-1629    DOI: 10.7522/j.issn.1000-0534.2016.00136
张蓓1,2,3, 戴新刚2
1. 兰州大学大气科学学院, 甘肃 兰州 730000;
2. 中国科学院东亚区域气候-环境重点实验室, 大气物理研究所, 北京 100029;
3. 甘肃省天水市气象局, 甘肃 天水 741000
Evaluation and Correction for the Deviation of the Surface Air Temperature based on 24 CMIP5 Models over China for 2006-2015
ZHANG Bei1,2,3, DAI Xingang2
1. College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, Gansu, China;
2. Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;
3. Tianshui Meteorology Bureau, Tianshui 741000, Gansu, China
 全文: PDF(16642 KB)  
摘要: 依据NCEP/NCAR格点气温资料,分析了三种RCPs情景下24个CMIP5模式集合对2006-2015年中国气温的预估偏差,并对RCP4.5情景下的气温偏差进行订正。结果表明,各模式对东部气温预估的一致性高于西部,大部分地区模式气温预估均偏低,西部偏差较东部大;夏季偏差小于其他三季,冬季模式气温偏低现象明显增强。高排放情景加剧了模式气温偏低现象,且对西部影响明显。气温偏差的年际差异较小,仅在东北较大,El Niño和La Niña年差异与此相似。经地形校正后模式气温偏差约减少20%,尤其地形复杂地区偏差约减少3℃。此外,EOF分解显示模式气温偏差存在气候漂移现象,且与地形偏差等关联,去除漂移部分可消除地形及插值的影响,模式年气温偏差约减少72%,且西部订正效果明显优于东部。在大部分地区模式气温预估偏低现象仍然存在,但幅度减少至±1℃内。此法对夏季东部和冬季西部订正效果较差,说明偏差小的区域易受偏差变率的影响。因此,除气候漂移外,更细致的订正方案必须考虑偏差的时间演变特征。
关键词: CMIP5RCPs排放情景中国气温预估偏差特征及订正    
Abstract: The deviation of surface air temperature projected by 24 models of the Coupled Model Inter-comparison Project phase five (CMIP5) over China from 2006 to 2015 under the Representative Concentration Pathways (RCPs) scenarios was revealed and corrected. Compared with the data from NCEP/NCAR, the differences of projected temperature among the 24 models are more obvious in the east than the west over China. The annual and seasonal mean model-ensemble temperature are both underestimated in most parts of China, while the deviation is larger in the western region and it is largest in Tibet Plateau. In summer, the uncertainty of projected temperature is lower than other seasons. However, the phenomenon of underestimating temperature is enhanced obviously in winter. In addition, the higher emission intensity would enhance the underestimation of temperature in the most parts of China and the impact is more evident to the western regions, but the deviation would be lower in Tibet Plateau and Yunnan-Kweichow Plateau. Furthermore, the inter-annual differences of the temperature deviations are similar, except in the northeastern regions, and the patterns of the deviations are similar between El Niño years and La Niña years. After the terrain correction, the deviation of model temperature could reduce about 20%, and the deviation of the complex terrain region is effectively correction. The EOF indicates that historical simulation temperature by CMIP5 models has climate drift and the deviation is associated with topographic deviation. By deducting the climate drift, the effect of topographic and interpolation can be eliminated. The deviation of annual temperature would decrease about 72%. The models temperature is still underestimated and the deviations are about ±1℃ in most parts of China. However, this method makes the deviation turn to warmer in western region in summer and it is still colder in eastern region in winter. This suggests that the areas where the temperature deviations of models are lower would be vulnerable to the impact of deviation rate. Therefore, except the climate drift of models, the temporal evolution characteristics of deviations must be considered in the more detailed error correction methods.
Key words: CMIP5    RCPs scenarios    surface air temperature projection    deviation correction
收稿日期: 2016-06-08 出版日期: 2017-12-20
ZTFLH:  P467  
基金资助: 国家重点基础研究发展计划(973计划)项目(2013CB430201);国家自然科学基金项目(41475075,41075058)
通讯作者: 戴新刚     E-mail:
作者简介: 张蓓(1993),女,甘肃天水人,硕士研究生,主要从事气候变化研究
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张蓓, 戴新刚. 基于CMIP5的2006—2015年中国气温预估偏差分析及订正[J]. 高原气象, 2017, 36(6): 1619-1629.

ZHANG Bei, DAI Xingang. Evaluation and Correction for the Deviation of the Surface Air Temperature based on 24 CMIP5 Models over China for 2006-2015. PLATEAU METEOROLOGY, 2017, 36(6): 1619-1629.


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