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Sensitivity of Climate Changes to CO2 Emissions in China
  • 分类:P425.42[天文地球—大气科学及气象学] X16[环境科学与工程—环境科学]
  • 作者机构:[1]Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China, [2]Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters', Nanjing University of Information Sci- ence & Technology, Nanjing 210044, China
  • 相关基金:The authors are grateful to the two anonymous reviewers for their valuable comments and helpful advice. We also acknowledge the World Climate Research Programme's working group on coupled modeling, which is responsible for CMIP, and we thank the climate modeling groups for producing and making avail- able their model output. This research was jointly supported by the National Basic Research Program of China (Grant No. 2012CB955401), the National Natural Science Foundation of China (Grant No. 41305061), and the “Strategic Priority Research Program--Climate Change: Carbon Budget and Relevant Issues” of the Chinese Academy of Sciences (Grant No. XDA05090306).
中文摘要:

在这研究,作者证明联合模型 Intercomparison 工程分阶段执行 5 (CMIP5 ) 模型在在中国温暖的平均数和气候极端的变化投射柔韧的回答。每年在 1% 公司 2 的一种情形下面增加,在中国的表面温度被投射比全球一般水准,和模型整体工程更快增加更多的降水(2.2%/ 獥漠 ?? 前 ? 慢敳 ? 湯琠敨猠慴整漭 ? 桴 ? 牡 ? 湩楳畴爠楡普污 ?慤慴 吗??

英文摘要:

In this study, the authors demonstrate that the Coupled Model Intercomparison Project Phase 5 (CMIP5) models project a robust response in changes of mean and climate extremes to warming in China. Under a scenario of a 1% CO2 increase per year, surface temperature in China is projected to increase more rapidly than the global average, and the model ensemble projects more precipitation (2.2%/℃). Responses in changes of climate extremes are generally much stronger than that of climate means. The majority of models project a consistent re- sponse, with more warm events but fewer cold events in China due to CO2 warming. For example, the ensemble mean indicates a high positive sensitivity for increasing summer days (12.4%/℃) and tropical nights (26.0%/℃), but a negative sensitivity for decreasing frost days (-4.7%/℃) and ice days (-7.0%/℃). Further analyses indicate that precipitation in China is likely to become more extreme, featuring a high positive sensitivity. The sensitivity is high (2.4%/℃) for heavy precipitation days (〉 10 mm d l) and increases dramatically (5.3%/℃) for very heavy precipitation days (〉 20 mm d-1), as well as for precipitation amounts on very wet days (10.8%/℃) and extremely wet days (22.0%/℃). Thus, it is concluded that the more extreme precipitation events generally show higher sensitivity to CO2 warming. Additionally, southern China is projected to experience an increased risk of drought and flood occurrence, while an increased risk of flood but a decreased risk of drought is likely in other regions of China.

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