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《巴黎协定》排放情景下中亚地区降水变化响应
Response of precipitation change in Central Asia to emission scenarios consistent with the Paris Agreement

查看参考文献43篇

王芳 1   张晋韬 1,2  
文摘 为了应对全球气候变化,《巴黎协定》提出各国将以“国家自主贡献”(INDC)的方式参与全球温室气体减排行动,而在“国家自主贡献”排放目标情景下区域降水变化的格局和特征尚不清楚。中亚地区位于欧亚大陆腹地,是中国“一带一路”倡议发展的关键地区。本文研究了中亚地区的降水变化对全球INDC排放的响应,基于参与国际耦合模式比较计划第五阶段(CMIP5)的33个全球气候模式的模拟。结果表明:在INDC目标情景下,到21世纪末中亚地区的平均年降水量相对现代水平(1985-2005年平均)增加10.6%(4.6%~13.3%),其中高纬度地区的响应大于低纬度地区。进一步看,中亚地区极端强降水事件随着气候变暖而持续增加,但极端持续干期事件在不同区域呈现不同的变化趋势。考虑极端降水事件相关风险,极端强降水和持续干期事件的人口暴露度在中亚大部分区域都增加,将全球温升控制在较低水平(如2.0 ℃或1.5 ℃)可显著降低暴露度。以上结果有助于增进对未来极端气候事件风险的认识,为中亚这一生态脆弱地区的气候变化的减缓与适应政策提供参考。
其他语种文摘 To limit global mean warming to below 2.0 ℃ in accordance with the Paris Agreement, countries submitted their Intended Nationally Determined Contributions(INDC)for emission reductions.Those emissions will be the key determinant to the future climate change impacts.However, it remains unclear what the resulting changes in the regional precipitation and its extremes would be under the INDC pledges.Here, we analyze the response of precipitation in Central Asia to emission scenarios under warming resulting from the INDC pledges(as of May 2019), based on an ensemble of comprehensive Earth System Models from the Coupled Climate Model Intercomparison Project Phase 5(CMIP5).Our results show an increase in the mean precipitation in Central Asia by the end of the 21st century by 10.6%(4.6%- 13.3%)for INDC- pledge scenario.However, spatial heterogeneity of precipitation changes reflects the complexity of precipitation responses in future climate projections.Furthermore, heavy precipitation events will strengthen with the enhanced warming, but the trend of dry spell events increases or decreases in different regions.Considering the impacts of precipitation-related extremes, we find that the projected population exposure to heavy rainfall and dry spell events will significantly increase in most Central Asian regions.Limiting warming to lower levels(such as 2.0 ℃ or 1.5 ℃)would reduce the population exposure to heavy rainfall, thereby avoiding impacts associated with more intense precipitation extremes.These results contribute to an improved understanding of future risk from climate extremes, which is paramount for mitigation and adaptation activities for Central Asia, an ecologically fragile area.
来源 地理学报 ,2020,75(1):25-40 【核心库】
DOI 10.11821/dlxb202001003
关键词 国家自主贡献(INDC) ; 降水 ; 极端事件 ; 持续干期 ; 暴露度
地址

1. 中国科学院地理科学与资源研究所中国科学院, 中国科学院陆地表层格局与模拟重点实验室, 北京, 100101  

2. 中国科学院大学资源与环境学院, 北京, 100049

语种 中文
文献类型 研究性论文
ISSN 0375-5444
学科 大气科学(气象学)
基金 中国科学院A类战略性先导科技专项 ;  国家973计划 ;  国家自然科学基金项目
文献收藏号 CSCD:6674103

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引证文献 4

1 张晋韬 《巴黎协定》排放情景下中亚地区极端温度变化响应 自然灾害学报,2020,29(3):119-128
CSCD被引 1

2 王芳 "一带一路"沿线区域21世纪极端高温热浪风险预估 科学通报,2021,66(23):3045-3058
CSCD被引 6

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论文科学数据集

1. 2021-2100年中国1km分辨率多情景多模式逐月降水量数据集

2. 基于RegCM4.6的中国西北未来气候预测(2007-2099)

3. 未来100年青藏高原极端气候的多模式模拟结果(2015-2100)

数据来源:
国家青藏高原科学数据中心

1. 中国中西部地区年降水量空间分布数据集(2010)

2. 2018-2020年全球0.25度降水逐月数据

3. 2000-2018年全球0.05°降水产品逐日数据集

数据来源:
国家对地观测科学数据中心
PlumX Metrics
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