globalchange  > 气候变化与战略
DOI: 10.1007/s00382-020-05128-2
论文题名:
Consistency of extreme temperature changes in China under a historical half-degree warming increment across different reanalysis and observational datasets
作者: Zhao S.; Zhou T.; Chen X.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2020
卷: 54, 期:2020-03-04
语种: 英语
英文关键词: Extreme temperature ; Half-degree warming ; Reanalysis datasets ; Spatial aggregated
Scopus关键词: aerosol ; anthropogenic source ; climate change ; climate modeling ; climate variation ; data assimilation ; data set ; emission inventory ; extreme event ; quantitative analysis ; risk assessment ; spatial analysis ; temperature anomaly ; warming ; China
英文摘要: The extreme temperature changes under a 0.5 °C global mean surface temperature warming increment is of great importance for climate change adaption and risk management on post-Paris-Agreement agenda. The impacts of the already happened 0.5 °C warming increment on extreme temperature can serve as essential references for the 1.5/2 °C projections. Quantifying the observed changes of climate extremes is hampered by the limitation of observational datasets in both spatial coverage and temporal continuity. The reanalysis datasets are hoped to be useful substitutes for the observations, but their performance over continental China remains unknown. In this study, we compare the extreme temperature changes associated with the past 0.5 °C warming derived from three reanalysis datasets including JRA-55, ERA and 20CR with the observation in China. Distinct increases (decreases) in warm (cold) extremes are detected in all three reanalyses in a spatially aggregated perspective as in the observation. On regional scales the reanalyses have evident spreads in regions with insufficient observational coverage such as the western China. JRA-55 shows good agreement with the observation in both spatial patterns and magnitudes of extreme temperature changes. Both ERA and 20CR show weaker consistency with the observation, particularly in western China, mainly due to less observational constraints in data assimilation. The different aerosol data used in reanalysis assimilation systems also influenced the data quality. Our results indicate that while the reanalyses can serve as useful substitutes to fill in the observational gaps, cautious should be taken in regions with sparse observations and large anthropogenic aerosol emissions. © 2020, The Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159530
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作者单位: LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; University of Chinese Academy of Sciences, Beijing, 100049, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences (CAS), Beijing, 100101, China

Recommended Citation:
Zhao S.,Zhou T.,Chen X.. Consistency of extreme temperature changes in China under a historical half-degree warming increment across different reanalysis and observational datasets[J]. Climate Dynamics,2020-01-01,54(2020-03-04)
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