CliMathNet: Mathematics for Climate Network

CliMathNet：气候数学网络

• 批准号: EP/K003216/1
• 负责人: Peter Ashwin
• 金额: $ 24.19万
• 依托单位: UNIVERSITY OF EXETER
• 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=EP%2FK003216%2F1
• 关键词: CliMathNet; Mathematics; Climate; Network

The science of climate modelling and prediction has developed in the past twenty years to become a science where advances can directly and quickly influence international, national government and enterprise policy. While much of the progress in these aspects of climate science have been via a combination of improved earth observation, more powerful computers and better understanding of feedbacks in the earth system, mathematics and statistics have played an underpinning role in generating, solving and validating numerical models. It is an area of science where the UK has demonstrated leadership that goes from the development of numerical weather prediction to strong representation of UK science and scientists on the current Intergovernmental Panel for Climate Change (IPCC), distinguished by a Nobel Peace Prize in 2007.Mathematics and statistics have played a major role in many advances in climate modelling and prediction, and these contributions have been in both directions, for example, the seminal Lorenz (1963) model is continuing to have a great impact on the field of dynamical systems and their statistical properties and is still the model of choice for a simple nonlinear dynamical system. However, the Mathematical Sciences have often been seen as a toolbox rather than an equal partner with Climate Science. This division is institutionalized in the UK in a number of ways - core funding for Climate Science in the UK is from NERC, DECC and DEFRA while Mathematics and Statistics is seen as an EPSRC responsibility; even the more theoretical research is often based within Earth Science, Physics and/or Meteorology departments rather than Mathematics or Statistics; although one could identify "Mathematics for Earth Sciences" as an internationally successful cognate activity.We believe that wider engagement with the Mathematical Sciences have the potential to contribute much more to answering the key questions (in particular understanding and reducing uncertainties in observation and prediction). By engaging a wide range of Mathematics and Statistics researchers on a number of scientific themes, CliMathNet aims to stimulate discussion and progress on these themes by entraining the expertise of mathematicians and statisticians.

气候建模和预测科学在过去二十年中已经发展成为一门进步可以直接和迅速影响国际，国家政府和企业政策的科学。虽然气候科学在这些方面的进展主要是通过改进地球观测、更强大的计算机和更好地理解地球系统中的反馈来实现的，但数学和统计学在生成、求解和验证数值模型方面发挥了基础作用。这是一个科学领域，英国已经表现出领导力，从数值天气预报的发展到英国科学和科学家在当前政府间气候变化专门委员会（IPCC）的强大代表性，2007年获得诺贝尔和平奖。这些贡献是双向的，例如，开创性的Lorenz（1963）模型继续对动力系统及其统计特性领域产生重大影响，并且仍然是简单非线性动力系统的首选模型。然而，数学科学经常被视为工具箱，而不是与气候科学平等的合作伙伴。这一部门在联合王国以多种方式制度化-联合王国气候科学的核心资金来自NERC、DECC和DEFRA，而数学和统计被视为EPSRC的责任;即使是理论性更强的研究也往往是基于地球科学、物理学和/或气象学系，而不是数学或统计学;尽管人们可以将“地球科学数学”视为一项国际上成功的同类活动。我们相信，更广泛地参与数学科学有可能为回答关键问题做出更多贡献。（特别是理解和减少观测和预测中的不确定性）。气候数学网的目标是通过吸引数学家和统计学家的专业知识，在一些科学主题上吸引广泛的数学和统计学研究人员，以激发对这些主题的讨论和进展。

项目成果

The middle Pleistocene transition as a generic bifurcation on a slow manifold

• DOI: 10.1007/s00382-015-2501-9
• 发表时间: 2015-11-01
• 期刊: CLIMATE DYNAMICS
• 影响因子: 4.6
• 作者: Ashwin, Peter;Ditlevsen, Peter
• 通讯作者: Ditlevsen, Peter

Limits to the quantification of local climate change

当地气候变化量化的局限性

• DOI: 10.1088/1748-9326/10/9/094018
• 发表时间: 2015
• 期刊: Environmental Research Letters
• 影响因子: 6.7
• 作者: Chapman S

CliMathNet: Maths for Climate Network

CliMathNet：气候数学网络

• 发表时间: 2013
• 期刊: Mathematics Today
• 作者: Ashwin P