Constraining carbon cycle processes over the last glacial cycle

限制末次冰期的碳循环过程

• 批准号: RGPIN-2017-03775
• 负责人: Eby, BMichael
• 金额: $ 2.33万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=633860
• 关键词: Constraining; carbon; cycle; processes; over

Anthropogenic climate change is one of the greatest global environmental challenges we face. The emissions we generate from burning fossil fuels are changing the levels of greenhouse gases in the atmosphere and warming the Earth's climate. This is clear - yet there is still considerable uncertainty in how the Earth will react to these emissions over the longer term. One of the major sources of this uncertainty is how the carbon cycle will respond, both to higher levels of carbon dioxide and to the changing climate. Climate models are one of the most important tools we have for studying climate change, however, the climate system is complex and climate models are far from perfect. We can validate the modelled climate system response by comparing climate simulations to reconstructions of past climate and current observations. Over the long-term, some of the most important and reliable climate data reconstructions come from ice cores in Antarctica and Greenland. These ice cores record changes in greenhouse gases and proxies for climate over several glacial cycles. Recently developed complex climate-carbon cycle models and data reconstructions over the last glacial cycle provide a unique opportunity to quantify the importance of climate-carbon cycle feedbacks over very long time scales.

人为气候变化是我们面临的最大的全球环境挑战之一。我们燃烧化石燃料产生的排放正在改变大气中温室气体的水平，并使地球气候变暖。这是显而易见的——但从长远来看，地球将如何应对这些排放仍然存在相当大的不确定性。这种不确定性的主要来源之一是碳循环将如何应对二氧化碳水平升高和气候变化。气候模型是我们研究气候变化最重要的工具之一，然而，气候系统非常复杂，气候模型也远非完美。我们可以通过将气候模拟与过去气候和当前观测的重建进行比较来验证建模的气候系统响应。从长远来看，一些最重要和最可靠的气候数据重建来自南极洲和格陵兰岛的冰芯。这些冰芯记录了几个冰川周期内温室气体和气候指标的变化。最近开发的复杂气候-碳循环模型和上一个冰川周期的数据重建提供了一个独特的机会来量化很长一段时间内气候-碳循环反馈的重要性。