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Research on Greenhouse-Gas-Induced Climate Change

Research on Greenhouse-Gas-Induced Climate Change
温室气体引起的气候变化研究
批准号:
0084270
负责人:
Michael Schlesinger
金额:
$145.5万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-15 至 2007-08-31

项目摘要

项目成果

Michael Schlesinger的其他基金

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中文摘要
翻译
PI将使用气候和光化学模型来模拟由于自然和人为气候强迫因素的变化而引起的气候和大气成分的变化,估计模拟变化的统计意义,并确定由于将相互作用的光化学纳入气候系统模型而发生的反馈。研究分为以下六个相关项目:(一)利用相互作用的光化学研究CO2和CH 4引起的气候变化;(二)研究太阳是否改变了气候;(三)模拟皮纳图博火山爆发引起的气候和大气成分变化;(四)模拟末次盛冰期的气候和大气成分;(五)研究对流层臭氧与气候之间的相互作用;(六)继续就气候影响和政策开展合作,并参与示范相互比较项目。PI将估计对减缓气候变化的适应性决策战略的影响和效果。这项工作很重要,因为它将增加我们对更长时间尺度上气候变化的理解。这项研究对气候变化政策也有重要意义。
英文摘要
The PI will use climate and photochemistry models to simulate changes in climate and atmospheric composition due to changes in both natural and anthropogenic climate forcing factors, estimate the statistical significance of the simulated changes, and determine feedbacks that occur as a result of including interactive photochemistry into climate system models. The research is divided into the following six related projects: (i) study of CO2 and CH4 induced climate change with interactive photochemisty; (ii) study of whether the sun has changed climate; (iii) simulations of the changes in climate and atmospheric composition induced by the Pinatubo volcanic eruption; (iv) simulations of the climate and atmospheric composition of the last glacial maximum; (v) study of the interactions between tropospheric ozone and climate; and (vi) continuation of collaborations on climate impacts and policy and participation in model intercomparison projects. The PI will estimate impacts and effects on an adaptive decision strategy for climate-change abatement. The work is important because it will increase our understanding of climate variability on longer time scales. The research also has important implications for climate change policy.
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Learning about the Tail of the Probability Density Function for Equilibrium Climate Sensitivity
Research on Greenhouse-Gas-Induced Climate Change
Research on Greenhouse-Gas-Induced Climate Change
Development of a Physically-based GCM Cloud Parameterization
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