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The UK Earth system modelling project.

The UK Earth system modelling project.
英国地球系统建模项目。
批准号:
NE/N017978/1
负责人:
Colin Jones
金额:
$347.92万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

项目摘要

项目成果

Colin Jones的其他基金

相似基金

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中文摘要
翻译
全球气候变化是人类面临的主要环境威胁之一。要制定适当的缓解和适应战略,就需要准确预测地球气候的未来状况。为了解决这个问题,研究界开发了描述耦合气候系统中主要物理过程的全球气候模式(GCMs)。这些数学计算机模型在模拟时间内向前整合,从工业化前时期(~1850年以前)到现在,受到观测到的主要温室气体(如二氧化碳、甲烷、臭氧)、气溶胶和土地利用估计的影响。然后,在一系列温室气体、气溶胶和土地利用情景的强迫下,这些模式继续进入模拟的未来,这些情景代表了可能的未来社会经济发展路径。然后,将每一个随时间变化的模式未来气候与来自同一模式的工业化前和当今气候进行比较。这一分析得出了一整套与每一种应用的发展途径相联系的气候变化估计数,可用于评估潜在的社会经济和生态影响,并有助于制定减缓和适应气候变化的政策。近年来,gcm进一步发展为地球系统模式(esm)。esm和gcm之间的一个关键区别是前者包括对全球碳循环的交互式描述。气候变化主要是由人类排放的二氧化碳引起的,二氧化碳将一小部分地球排放的辐射困在大气中,使大气和地球表面变暖。这种由二氧化碳增加引起的直接变暖可以被气候系统中的各种反馈(例如涉及水蒸气、云或海冰)放大或抑制。人类排放的二氧化碳对气候变化影响的一个关键决定因素是,有多少排放的气体实际上留在了大气中,在那里它可以与地球排放的辐射相互作用。目前,人类排放的二氧化碳中约有50%停留在大气中,其余50%被陆地生物圈和海洋吸收,其数量大致相等。越来越多的证据表明,这些天然碳库吸收人类排放的二氧化碳的效率在未来可能会发生变化,因为它们对地球系统中二氧化碳的浓度和引起的气候变化都很敏感。地球天然碳库吸收效率的降低将导致排放的二氧化碳中有更大一部分留在大气中,因此对于给定的二氧化碳累积排放量,气候变化(变暖)更大。为了解决模拟不断变化的全球气候和碳循环对气候变化和大气成分变化的响应的需要,我们正在开发第一个英国地球系统模型,基于核心物理GCM, HadGEM3,由英国气象局开发。这一发展是NERC中心和气象局之间的主要合作,将大量核心研究和开发整合到一个世界领先的单一ESM中。该提案旨在确保NERC提供资金以维持这种合作。该项目将支持第一个UKESM模型的最终开发和社区发布,以及将这些模型应用于在国际一级开展的一系列合作科学实验,以支持IPCC第6次评估报告。该项目的主要重点是评估UKESM1模式模拟的气候和生物地球化学过程和相互作用的全部范围,目的是提高对利用这些模式作出的未来预测的信心。该项目还将生成和分析一系列这样的预测,并向英国政府、企业和公众提供一套关于地球系统变化的可靠估计。最后,该项目将启动UKESM模型第二版的长期开发,发布时间~2023年。
英文摘要
Global climate change is one of the leading environmental threats facing mankind. To develop appropriate mitigation and adaptation strategies requires accurate projections of the future state of the Earth's climate. To address this, the research community have developed Global Climate Models (GCMs) that describe the main physical processes in the coupled climate system. These mathematical-computer models are integrated forwards in simulated time, from a pre-industrial period (before ~1850) to present-day, forced by observed estimates of key greenhouse gases (e.g. carbon dioxide, methane, ozone), aerosols and land-use. The models are then continued into the simulated future forced by a range of greenhouse gas, aerosol and land-use scenarios representing plausible future socio-economic development pathways. Each of the time-evolving model future climates are then compared to the pre-industrial and present-day climates from the same model. This analysis results in an ensemble of climate change estimates, linked to each of the applied development pathways, that can be used to assess potential socio-economic and ecological impacts and aid in the development of climate change mitigation and adaptation policies.GCMs have recently been further developed into Earth system models (ESMs). A key difference between ESMs and GCMs is the former include an interactive description of the global carbon cycle. Climate change is primarily driven by human emissions of carbon dioxide which traps a fraction of the Earth's emitted radiation in the atmosphere, warming it and the Earth's surface. This direct warming from increasing carbon dioxide can be amplified or damped by various feedbacks in the climate system (e.g. involving water vapour, clouds or sea-ice). A key determinant of the climate change impact of human-emitted carbon dioxide is how much of the emitted gas actually stays in the atmosphere where it can interact with the Earth's emitted radiation. Presently, around 50% of the carbon dioxide emitted by humans stays in the atmosphere, the remaining 50% being taken up, in roughly equal measures, by the terrestrial biosphere and the world oceans. There is increasing evidence to suggest the efficiency of these natural carbon reservoirs in absorbing human-emitted carbon dioxide may change in the future, being sensitive to both the concentration of carbon dioxide in the Earth system and to the induced climate change. A reduction in the uptake efficiency of Earth's natural carbon reservoirs would result in a larger fraction of emitted carbon dioxide remaining in the atmosphere and thereby a larger climate change (warming) for a given cumulative emission of carbon dioxide.To address the need to simulate both the changing global climate and the carbon cycle response to a changing climate and changing atmospheric composition, we are developing the 1st UK Earth system model, based on the core physical GCM, HadGEM3, developed at the Met Office. This development is a major collaboration between NERC centres and the Met Office, integrating a large body of core research and development into a single, world-leading ESM. This proposal aims to secure the NERC funding to maintain this collaboration. The project will support the final development and community release of the 1st UKESM models, as well as application of these models to a range of collaborative science experiments carried out at the international level to support the IPCC AR6. The project has a major emphasis on evaluating the full range of climate and biogeochemical processes and interactions simulated by UKESM1 models with an aim to increase confidence in future projections made with the models. The project will also generate and analyse a suite of such projections and deliver a set of robust estimates of Earth system change to UK government, business and the public. Finally, the project will initiate long-term development of a 2nd version of the UKESM model, for release ~2023.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1029/2019ms001995
发表时间: 2020-06-01
期刊: JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
影响因子: 6.8
作者: [Andrews, Martin B., Ridley, Jeff K., Sutton, Rowan T.]
通讯作者: Sutton, Rowan T.
Description and evaluation of the UKCA stratosphere-troposphere chemistry scheme (StratTrop vn 1.0) implemented in UKESM1
UKESM1 中实施的 UKCA 平流层-对流层化学方案 (StratTrop vn 1.0) 的描述和评估
DOI: 10.5194/gmd-2019-246
发表时间: 2019
期刊:
影响因子: --
作者: [Archibald A]
通讯作者: Archibald A
Earth System Music: the methodology and reach of music generated from the United Kingdom Earth System Model
地球系统音乐:英国地球系统模型产生的音乐的方法论和影响范围
DOI: 10.5194/gc-2019-28
发表时间: 2020
期刊:
影响因子: --
作者: [De Mora L]
通讯作者: De Mora L
DOI: 10.5194/gmd-2018-103-supplement
发表时间: 2018
期刊:
影响因子: --
作者: [De Mora L]
通讯作者: De Mora L
共 10 条
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