globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2410
论文题名:
Rapid increase in the risk of extreme summer heat in Eastern China
作者: Ying Sun
刊名: Nature Climate Change
ISSN: 1758-1138X
EISSN: 1758-7258
出版年: 2014-10-12
卷: Volume:4, 页码:Pages:1082;1085 (2014)
语种: 英语
英文关键词: Attribution ; Climate-change impacts
英文摘要:

The summer of 2013 was the hottest on record in Eastern China. Severe extended heatwaves affected the most populous and economically developed part of China and caused substantial economic and societal impacts1. The estimated direct economic losses from the accompanying drought alone total 59 billion RMB (ref. 2). Summer (June–August) mean temperature in the region has increased by 0.82 °C since reliable observations were established in the 1950s, with the five hottest summers all occurring in the twenty-first century. It is challenging to attribute extreme events to causes3, 4, 5, 6. Nevertheless, quantifying the causes of such extreme summer heat and projecting its future likelihood is necessary to develop climate adaptation strategies7. We estimate that anthropogenic influence has caused a more than 60-fold increase in the likelihood of the extreme warm 2013 summer since the early 1950s, and project that similarly hot summers will become even more frequent in the future, with fully 50% of summers being hotter than the 2013 summer in two decades even under the moderate RCP4.5 emissions scenario. Without adaptation to reduce vulnerability to the effects of extreme heat, this would imply a rapid increase in risks from extreme summer heat to Eastern China.

The 2013 summer was characterized by long-lasting and widespread heatwaves and severe drought in Eastern China, especially in the Yangtze River Valley (Supplementary Fig. 2); the average number of heatwave days (daily maximum temperature of 35 °C or more) was at a historical high of 31 days, more than twice the 1955–1984 long-term average, affecting over nine provinces with a population of more than half a billion2. Preliminary reports indicate impacts on human health, agriculture and energy demand for cooling1, which is being used increasingly in Chinas rapidly growing urban areas. The five hottest summers in Eastern Chinas observed record over the past six decades have all occurred since 2000—in 2013, 2007, 2000, 2010 and 2011—with 2013 and 2007 summer temperatures being the hottest, at 1.1 °C and 1.0 °C above the 1955–1984 30-year average (Fig. 1). There is also a clear connection between summer heat and precipitation deficit; summer mean temperature and total precipitation are significantly negatively correlated at the local scale (Supplementary Fig. 3) and large negative precipitation anomalies are observed in the areas hit hardest by the 2013 summer heat (Supplementary Fig. 4). The recent frequent occurrence of hot summers and the unprecedented heat of the 2013 summer inevitably raises questions about whether and to what extent anthropogenic climate change has affected the intensity and frequency of occurrence of extremely hot summers in Eastern China and whether they will increase further in the future as anthropogenic climate influence continues to strengthen.

Figure 1: Relationship between the number of heatwave days and summer mean temperature.
Relationship between the number of heatwave days and summer mean temperature.

a, Time series of the number of summer season (June–August) heatwave days and mean temperature anomalies relative to the 1955–1984 average. The correlation coefficient between the two series is 0.74. b, Scatter plot of heatwave days and summer temperature anomalies. A day is considered a heatwave day if the daily maximum temperature is 35 °C or above.

We quantify the consistency between observed and model-simulated temperature changes using an optimal fingerprint method24, 25. This method expresses the observations (y) as a sum of scaled responses or ‘fingerprints (X) estimated from forced GCM simulations plus internal variability (ε): y = Xb + ε. We regress the observations onto the multi-model mean ALL and NAT responses separately to identify observed responses to individual forcing factors (‘one-signal analysis). To examine the relative contribution of natural and anthropogenic forcings to the observed changes, we also conducted ‘two-signal analysis by regressing observations onto the ALL–NAT and NAT responses simultaneously. These regressions scale the model-simulated fingerprints to best fit the observations. The scaling factors b were estimated using the total least-squares method18. Detection is claimed if the 90% confidence interval of the scaling factor lies above zero, and attribution is supported by the analysis if this confidence interval also includes one. The observations and model-simulated responses are centred to the 1955–1984 climatology appropriate to the data source before the regression analyses.

The regression was conducted over 1955–2012 for one-signal ALL or NAT analysis and for two-signal ALL–NAT and NAT analysis on non-overlapping 5-year averages, with the last 5-year average represented by the mean values from 2010–2012. Model simulations under ALL forcing end in 2005 for many models. Model simulations under the RCP 4.5 emission scenario are used to extend the historical period ALL simulations for 2006–2012. We use NAT simulations by eight GCMs for the period 1955–2012. Temperature responses to external forcing over Eastern China are spatially homogeneous; thus we use the regional average to increase signal to noise ratio. Averaging over 5-year periods reduces variability in the observations and noise in the signal data. We use the period 1955–2013 to estimate the frequency of recurrence for 2013-like summer temperatures in the observed record.

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URL: http://www.nature.com/nclimate/journal/v4/n12/full/nclimate2410.html
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/4964
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

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Ying Sun. Rapid increase in the risk of extreme summer heat in Eastern China[J]. Nature Climate Change,2014-10-12,Volume:4:Pages:1082;1085 (2014).
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