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Coupled Carbon Cycle-Climate Model Intercomparison Project (C4MIP) Workshop; September, 2003

Coupled Carbon Cycle-Climate Model Intercomparison Project (C4MIP) Workshop; September, 2003
耦合碳循环-气候模型比对项目(C4MIP)研讨会;
批准号:
0335818
负责人:
Dork Sahagian
金额:
$1.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-01 至 2005-08-31

项目摘要

项目成果

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中文摘要
翻译
这笔赠款为在国际耦合碳循环气候模式比较项目(C4MIP)的背景下举办的关于20世纪陆地-大气耦合系统行为的讲习班提供了部分支助。C4MIP的第一阶段目前正在进行中,定于2003年9月举行的讲习班将通过对迄今进行的模拟的分析来比较研究结果。讲习班将分析为第一阶段进行的模拟,目标如下:1.比较大气-陆地生物圈耦合模型对历史强迫的敏感性,并确定在历史时期可以看到“未来”反应总体敏感性的范围有多大。将模型敏感性分解为(A)气候对二氧化碳和海温强迫的响应以及(B)陆地碳循环对气候和二氧化碳变化的响应3。将模拟的碳通量和大气浓度场的要素与现有的历史重建进行比较。根据第一阶段的结果,将在研讨会上概述第二阶段,以便在迄今所学知识的基础上再接再厉。更广泛的影响人类对地球碳循环的影响,主要是通过化石燃料燃烧和土地利用的变化,正在影响世界气候。该项目致力于帮助发展理解和预测性建模能力,这将有助于向环境/能源政策制定者提供有关这一问题的可靠科学信息。这对人类社会来说是一个潜在的巨大好处。
英文摘要
This grant provides partial support for a workshop on the behavior of the coupled land - atmosphere system over the 20th century, in the context of the international Coupled Carbon Cycle Climate Model Intercomparison Project (C4MIP). Phase 1 of C4MIP is now underway, and the workshop, to take place in September 2003, is to compare research results through analyzes of the simulations conducted to-date. The workshop will analyze the simulations performed for phase 1, with the following 3 goals:1. Compare the sensitivities of the coupled atmosphere-terrestrial biosphere models to historical forcing and determine how much of the range in overall sensitivity of the 'future' response can be seen in the historical period.2. Decompose model sensitivity into (a) climatic responses to CO2 and SST forcing and (b) terrestrial carbon cycle responses to climate and CO2 changes3. Compare elements of the simulated carbon flux and atmospheric concentration fields with available historical reconstructions.Based on the results of Phase 1, a second phase will be outlined at the workshop, in order to build on what has been learned to date. Broader impactsHuman influences on the Earth's carbon cycle, primarily through fossil fuel burning and land use changes, is affecting the world climate. This project strives to help develop the understanding and predictive modeling capabilities that will help provide sound scientific information on this issue to those who make environmental/energy policy. This is a potentially large benefit to human societies.
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