Late Pliocene soils and lakes: A global data set for the analysis of climate feedbacks in a warmer world

上新世晚期土壤和湖泊：用于分析变暖世界中气候反馈的全球数据集

• 批准号: NE/I016287/1
• 负责人: Ulrich Salzmann
• 金额: $ 5.85万
• 依托单位: Northumbria University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FI016287%2F1
• 关键词: Late; Pliocene; soils; lakes; global

Our understanding of future global warming under increasing human-related emissions of greenhouse gases relies heavily on prediction of climate model simulations. Although progressively more sophisticated, climate models have uncertainties in particular when simulating climates with temperatures and atmospheric CO2 concentrations unprecedented in the recent past. Soils, lakes and vegetation can have a strong impact on the climate system and are often key factors for uncertainties in modelling experiments. One approach to explore uncertainties and understand mechanisms of potential future climate change is to look at time periods in the past, for which geological data are available. The proposed project will investigate the importance of soil and lakes in a warmer, high CO2 world, by synthesising global datasets from geological records. We will focus on the Late Pliocene geological period, ca. 3.6-2.6 million years ago. With increased mean global temperatures and higher atmospheric CO2 concentrations, the late Pliocene geological period provides an 'accessible example of a world that is similar in many respects to what models estimate could be the Earth of the late 21st century' (Intergovernmental Panel on Climate Change 2007). Our new global soil and lake dataset will be used as boundary conditions in palaeoclimate modelling experiments. The outcomes of these models will then be evaluated using the existing comprehensive TEVIS dataset (Tertiary Environment and Vegetation Information System), which contains data from 202 palaeobotanical sites. By indicating weaknesses and strengths, our data-model comparison will test the importance of soils and lakes in high CO2 climate systems and will contribute to the improvement of climate models that we rely upon for simulating future climate change.

我们对未来全球变暖的理解在很大程度上依赖于气候模型模拟的预测。虽然气候模式越来越复杂，但在模拟最近前所未有的气温和大气CO2浓度的气候时，气候模式尤其具有不确定性。土壤、湖泊和植被可对气候系统产生重大影响，往往是造成模拟实验不确定性的关键因素。探索不确定性和了解未来潜在气候变化机制的一种方法是查看过去的时间段，可以获得地质数据。拟议的项目将通过从地质记录中综合全球数据集，调查土壤和湖泊在温暖、高二氧化碳世界中的重要性。我们将集中在晚上新世地质时期，约。360 - 260万年前。随着全球平均气温的升高和大气中二氧化碳浓度的增加，上新世晚期的地质时期提供了一个“在许多方面与模型估计的21世纪末地球相似的世界”的例子（政府间气候变化专门委员会，2007年）。我们新的全球土壤和湖泊数据集将被用作古气候建模实验的边界条件。这些模型的结果将使用现有的综合TEVIS数据集（第三纪环境和植被信息系统）进行评估，该数据集包含来自202个古植物遗址的数据。通过指出弱点和优势，我们的数据模型比较将测试土壤和湖泊在高CO2气候系统中的重要性，并将有助于改进我们依赖于模拟未来气候变化的气候模型。

项目成果

Pliocene Model Intercomparison (PlioMIP) Phase 2: scientific objectives and experimental design

上新世模型比对 (PlioMIP) 第 2 阶段：科学目标和实验设计

• DOI: 10.5194/cpd-11-4003-2015
• 发表时间: 2015
• 作者: Haywood A

The Pliocene Model Intercomparison Project (PlioMIP) Phase 2: scientific objectives and experimental design

• DOI: 10.5194/cp-12-663-2016
• 发表时间: 2016-01-01
• 期刊: CLIMATE OF THE PAST
• 影响因子: 4.3
• 作者: Haywood, Alan M.;Dowsett, Harry J.;Salzmann, Ulrich
• 通讯作者: Salzmann, Ulrich

The PRISM4 (mid-Piacenzian) paleoenvironmental reconstruction

• DOI: 10.5194/cp-12-1519-2016
• 发表时间: 2016-01-01
• 期刊: CLIMATE OF THE PAST
• 影响因子: 4.3
• 作者: Dowsett, Harry;Dolan, Aisling;Haywood, Alan
• 通讯作者: Haywood, Alan

Can uncertainties in sea ice albedo reconcile patterns of data-model discord for the Pliocene and 20th/21st centuries? HOWELL ET AL.

海冰反照率的不确定性能否调和上新世和 20 世纪/21 世纪数据模型不一致的模式？

• DOI: 10.1002/2013gl058872
• 发表时间: 2014
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Howell F

On the causes of mid-Pliocene warmth and polar amplification

• DOI: 10.1016/j.epsl.2011.12.042
• 发表时间: 2012-03-01
• 期刊: EARTH AND PLANETARY SCIENCE LETTERS
• 影响因子: 5.3
• 作者: Lunt, Daniel J.;Haywood, Alan M.;Loptson, Claire A.
• 通讯作者: Loptson, Claire A.