GENIEfy: creating a Grid ENabled Integrated Earth system modelling framework for the community.

GENIEfy:为社区创建一个支持网格的集成地球系统建模框架。

基本信息

  • 批准号:
    NE/C515904/1
  • 负责人:
  • 金额:
    $ 32.99万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2006
  • 资助国家:
    英国
  • 起止时间:
    2006 至 无数据
  • 项目状态:
    已结题

项目摘要

The GENIE project's aim is to build simplified and faster-running models of the Earth's climate system, and make them easier to use and more widely available to other people who want & need to use them. State-of-the-art climate models (such as the excellent Hadley Centre model) work on quite detailed scales in both space and time, and are consequently big and slow, and cannot be used to simulate more than a few centuries of climate on anything other than a super-computer, and even so may take months to give results. We aim to model the climate for many thousands of years, because the climate of the Earth has undergone major and dramatic climate changes (including ice ages) in the past, over periods of many thousands (and even millions) of years, and we need to understand these so that we can model future climate with more confidence. And we aim to do this using more widely available computers (including top-end PCs) so that more scientists who are not computer experts can explore their ideas. To build such models which run thousands of times faster, we have to work with coarser grids, giving us less detailed results, and also use simplified versions of the physical, chemical and biological processes which interact to control the climate. The price of this is that we expect less accurate results, but we can afford to do large numbers of runs to compare the results, and so find out how much simplification we can tolerate, and how accurate the answers are, which is almost impossible with the big models. In the first phase of GENIE we have successfully built a small family of such simplified models and used advanced computational methods to tune' them to real world data, and to attack difficult questions about their reliance on things that we do not know very well. We now aim to build on this; (1) to try to find out how much detail is really needed for various levels of accuracy; (2) to create links between our models of the climate and models of technological development and the economy; (3) to make our models more similar to the big mainstream models (and so make it easier to compare results with them); (4) to make them better and even faster; and (5) to make them much more easily & widely usable by people other than their creators. We shall do this by exploiting the advanced software and computing technology which makes powerful computer resources available over the internet.
GENIE项目的目标是建立简化和快速运行的地球气候系统模型,并使它们更容易使用,更广泛地提供给其他想要和需要使用它们的人。最先进的气候模型(如出色的哈德利中心模型)在空间和时间上都是非常详细的尺度,因此又大又慢,除了超级计算机之外,不能用任何东西来模拟几个世纪以上的气候,即使这样,也可能需要几个月的时间才能得出结果。我们的目标是建立数千年的气候模型,因为地球的气候在过去经历了数千年(甚至数百万年)的重大而剧烈的气候变化(包括冰河时代),我们需要了解这些,以便我们能够更有信心地建立未来气候模型。我们的目标是使用更广泛可用的计算机(包括高端pc)来实现这一目标,以便更多不是计算机专家的科学家可以探索他们的想法。为了建立这种运行速度快数千倍的模型,我们必须使用更粗糙的网格,得到的结果不太详细,还必须使用相互作用来控制气候的物理、化学和生物过程的简化版本。这样做的代价是我们期望的结果不太准确,但我们可以进行大量的运行来比较结果,从而找出我们可以容忍的简化程度,以及答案的准确性,这在大型模型中几乎是不可能的。在GENIE的第一阶段,我们已经成功地建立了一个这样的简化模型的小家族,并使用先进的计算方法将它们调整为现实世界的数据,并解决了关于它们对我们不太了解的事物的依赖的难题。我们现在的目标是以此为基础;(1)试着找出不同精确度需要多少细节;(2)在我们的气候模型与技术发展和经济模型之间建立联系;(3)使我们的模型更接近主流模型(从而更容易与它们进行比较);(4)使它们更好、更快;(5)使它们更容易和更广泛地被除了它们的创造者以外的人使用。我们将利用先进的软件和计算机技术,在互联网上提供强大的计算机资源。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Coupling integrated Earth System Model components with BFG2
NOAH: A CSP-based language for describing the behaviour of coupled models
NOAH:一种基于 CSP 的语言,用于描述耦合模型的行为
  • DOI:
    10.1002/spe.822
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Armstrong C
  • 通讯作者:
    Armstrong C
Proceedings of the UK E-science All Hands Meeting 18-21 September 2006
2006 年 9 月 18-21 日英国电子科学全体会议记录
  • DOI:
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Cox, Simon
  • 通讯作者:
    Cox, Simon
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Timothy Lenton其他文献

Timothy Lenton的其他文献

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{{ truncateString('Timothy Lenton', 18)}}的其他基金

Perturbation of the Earth System at the Proterozoic-Phanerozoic transition and the resilience of the biosphere
元古代-显生宙过渡时期地球系统的扰动和生物圈的恢复力
  • 批准号:
    NE/P013651/1
  • 财政年份:
    2017
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant
Feasibility of Afforestation and Biomass energy with carbon capture storage for Greenhouse Gas Removal (FAB GGR)
造林和生物质能源与碳捕获储存用于温室气体去除的可行性(FAB GGR)
  • 批准号:
    NE/P019773/1
  • 财政年份:
    2017
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant
Identifying potential tipping points in the benefits derived from the UK's land ecosystems
确定英国土地生态系统效益的潜在临界点
  • 批准号:
    NE/P007880/1
  • 财政年份:
    2016
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant
Ocean circulation, nutrient cycling and atmospheric carbon dioxide
海洋环流、养分循环和大气二氧化碳
  • 批准号:
    NE/G018332/2
  • 财政年份:
    2011
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant
Re-inventing the planet: the Neoproterozoic revolution in oxygenation, biogeochemistry and biological complexity
重新发明地球:氧合、生物地球化学和生物复杂性的新元古代革命
  • 批准号:
    NE/I005978/1
  • 财政年份:
    2011
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant
Detecting and classifying bifurcations in the climate system
气候系统分叉的检测和分类
  • 批准号:
    NE/F005474/2
  • 财政年份:
    2011
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant
Re-inventing the planet: the Neoproterozoic revolution in oxygenation, biogeochemistry and biological complexity
重新发明地球:氧合、生物地球化学和生物复杂性的新元古代革命
  • 批准号:
    NE/I005978/2
  • 财政年份:
    2011
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant
Ocean circulation, nutrient cycling and atmospheric carbon dioxide
海洋环流、养分循环和大气二氧化碳
  • 批准号:
    NE/G018332/1
  • 财政年份:
    2010
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant
Detecting and classifying bifurcations in the climate system
气候系统分叉的检测和分类
  • 批准号:
    NE/F005474/1
  • 财政年份:
    2008
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant
Feedbacks QUEST: Quantifying biogeochemical feedbacks on climate change
反馈任务:量化气候变化的生物地球化学反馈
  • 批准号:
    NE/F001657/1
  • 财政年份:
    2007
  • 资助金额:
    $ 32.99万
  • 项目类别:
    Research Grant

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