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UKESM 1 Yr Extension (NCEO)

UKESM 1 Yr Extension (NCEO)
UKESM 1 年延期 (NCEO)
批准号:
NE/V013173/1
负责人:
John Remedios
金额:
$32.01万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --
关键词:

项目摘要

项目成果

John Remedios的其他基金

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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,需要准确预测地球气候的未来状况。为了解决这一问题,我们开发了全球气候模型(GCM),描述了耦合气候系统中的主要物理过程。这些模型是在模拟时间内向前整合的,从前工业化时期到现在,受到对关键温室气体、气溶胶和土地利用的观测估计的影响。然后,由于一系列温室气体、气溶胶和土地利用情景的强迫,这些模型将被延续到未来。然后,每个未来气候模型都可以与模拟的现在气候进行比较。这一分析产生了一套气候变化估计,可用于评估模拟变化的社会经济和生态影响,并有助于制定缓解和适应政策。GCM已经进一步发展成地球系统模型(ESM),就像我们在UKESM LTSM中所做的那样,其中UKESM1是从物理模型HadGEM3-GC3.1发展而来的。可持续发展模式和全球碳模式的一个关键区别是前者包括对全球碳循环的交互描述,支持对自然气候变化和自然碳库吸收人为排放的二氧化碳的功效的潜在变化的分析。地球天然碳库吸收效率的降低可能会导致排放的二氧化碳中有更大比例留在大气中,以使地球变暖。因此,对全球气候系统和碳循环未来演变的准确估计,对于清楚了解人类面临的未来风险,以及制定缓解行动(通常以修改碳吸收效率为目标)以将全球变暖保持在可接受的水平至关重要。为了满足这一需求,我们开发了第一个英国地球系统模型(UKESM1),并在第六次耦合模式比对项目(CMIP6)中进行了一系列大型实验。UKESM1是当今世界上最先进的地球系统模式,也是一个耦合的物理气候模式,它还包括(1)全球碳循环和植被、(2)大气化学和气溶胶以及(3)格陵兰和南极冰盖模式的互动处理。我们使用UKESM1(1850年至2015年)运行了大量(19个成员)历史模拟,并将其中一些模拟扩展到未来(2015年至2100年),遵循CMIP6场景MIP的7种不同未来排放路径。在这个扩展中,我们提出了对UKESM1历史合奏和ScenarioMIP预测套件的详细分析。我们的目标是(I)更好地了解是什么驱动了观测到的历史地球系统变化,并询问UKESM1如何很好地代表这些变化,(Ii)利用(I)分析UKESM1情景下的模拟地球系统变化的知识,将其与CMIP6多模式集合相结合,以记录下一个世纪耦合地球系统的模拟变化范围。这项分析的两个主要重点将是:(A)记录和对比在全球平均变暖的不同水平(例如2摄氏度或3摄氏度)的区域变化和(B)在可能的情况下,限制由UKESM1模拟的驱动我们所看到的变化的各种耦合反馈。除了这两个科学目标外,我们还将继续为英国UKESM的大型用户和模型开发社区提供支持,并计划与(I)英国气候政策制定者和(Ii)英国气候影响研究人员举行两次咨询研讨会。在这些研讨会中,我们将介绍我们对预测未来地球系统变化的研究结果,并就英国地球系统建模如何最好地满足这两个群体的需求展开双向对话,在相互了解每个群体的需求和目标的基础上发展未来的合作。
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, we develop Global Climate Models (GCMs) that describe the main physical processes in the coupled climate system. These models are integrated forwards in simulated time, from a pre-industrial period to present-day, forced by observed estimates of key greenhouse gases, aerosols and land-use. The models are then continued into the future forced by a range of greenhouse gas, aerosol and land-use scenarios. Each of the model future climates can then compared to the simulated present-day climates. This analysis results in an ensemble of climate change estimates that can be used to assess the socio-economic and ecological impacts of the simulated changes and aid in the development of mitigation and adaptation policies. GCMs have been further developed into Earth system models (ESMs), as we did in the UKESM LTSM, where UKESM1 was developed from the physical model, HadGEM3-GC3.1. A key difference between ESMs and GCMs is the former include an interactive description of the global carbon cycle supporting analysis of both physical climate change and potential changes in the efficacy by which anthropogenic emitted CO2 is taken up by natural carbon reservoirs. A reduction in the uptake efficiency of Earth's natural carbon reservoirs may result in a larger fraction of emitted carbon dioxide remaining in the atmosphere to warm the planet. Accurate estimates of the future evolution of both the global climate system and the carbon cycle are therefore crucial for getting a clear picture of the future risks humanity faces, as well as for developing mitigation actions (that typically target modifying the efficacy of carbon uptake) to keep global warming to acceptable levels. To address this need we developed the 1st UK Earth system model (UKESM1) and ran it for a large suite of experiments in the 6th Coupled Model Intercomparison Project (CMIP6). UKESM1 is the most advanced Earth system model in the world today and as well as a coupled physical climate model also includes interactive treatment of (i) the global carbon cycle and vegetation, (ii) atmospheric chemistry and aerosols and (iii) models for the Greenland and Antarctic ice sheets. We have run a large (19 member) ensemble of historical simulations with UKESM1 (1850 to 2015) and extended a number of these into the future (2015 to 2100) following 7 different future emission pathways from CMIP6 scenarioMIP. In this extension we propose a detailed analysis of the UKESM1 historical ensemble and the suite of scenarioMIP projections. Our aims are (i) to better understand what drives observed historical Earth system change and ask how well UKESM1 represents these changes, (ii) with the knowledge from (i), analyse simulated Earth system change in the UKESM1 scenarioMIP ensemble, combining this with the CMIP6 multi-model ensemble, to document the range of simulated changes across the coupled Earth system over the coming century. Two primary emphases in this analysis will be; (a) to document and contrast regional changes at different levels of global mean warming (e.g. 2C or 3C) and (b) where possible, to constrain the various coupled feedbacks simulated by UKESM1 that drive the changes we see. In addition to these two science goals, we will also continue to provide support to the large UK UKESM user and model development community and plan to hold two consultation workshops with (i) UK climate policymakers and (ii) UK climate impacts researchers. In these workshops we will present our findings on predicted future Earth system change and begin a two-way dialogue on how UK Earth system modelling can best serve the needs of these two groups, developing future collaborations based on mutual understanding of each groups needs and goals.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
DOI: 10.5194/amt-16-3787-2023
发表时间: 2023-08
期刊: Atmospheric Measurement Techniques
影响因子: 3.8
作者: [Nicholas Balasus;D. Jacob;A. Lorente;J. Maasakkers;R. Parker;H. Boesch;Zichong Chen;M. Kelp;H. Nesser;D. Varon]
通讯作者: Nicholas Balasus;D. Jacob;A. Lorente;J. Maasakkers;R. Parker;H. Boesch;Zichong Chen;M. Kelp;H. Nesser;D. Varon
Methane emissions responsible for record-breaking atmospheric methane growth rates in 2020 and 2021
甲烷排放导致 2020 年和 2021 年大气甲烷增长率破纪录
DOI: 10.5194/acp-2022-425
发表时间: 2022
期刊:
影响因子: --
作者: [Feng L]
通讯作者: Feng L
Choice of Forecast Scenario Impacts the Carbon Allocation at the Same Global Warming Levels
预测情景的选择会影响相同全球变暖水平下的碳分配
DOI: 10.5194/egusphere-2022-1483
发表时间: 2023
期刊:
影响因子: --
作者: [De Mora L]
通讯作者: De Mora L
DOI: 10.5194/esd-14-1295-2023
发表时间: 2023-12-13
期刊: EARTH SYSTEM DYNAMICS
影响因子: 7.3
作者: [de Mora,Lee, Swaminathan,Ranjini, Yool,Andrew]
通讯作者: Yool,Andrew
共 7 条
    EO Data Hub
    • 批准号:
      NE/X01908X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $1265.41万
    • 财政年份:
      2023
    • 负责人:
      John Remedios
    • 依托单位:
    UK EO Climate Information Service (UKEO-CIS)
    • 批准号:
      NE/X019071/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $986.36万
    • 财政年份:
      2023
    • 负责人:
      John Remedios
    • 依托单位:
    NCEO NC International: Constraining Coupled Carbon & Water Cycle Processes with Earth Observation [CPEO]
    • 批准号:
      NE/X006328/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $213.38万
    • 财政年份:
      2022
    • 负责人:
      John Remedios
    • 依托单位:
    The North Atlantic Climate System Integrated Study (ACSIS) - 1 year extension (NCEO)
    • 批准号:
      NE/V013157/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $13.05万
    • 财政年份:
      2021
    • 负责人:
      John Remedios
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    • 资助金额:
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    小麦条锈病成株抗性基因Yr54图位克隆及其作用机理初步解析
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      省市级项目
    • 资助金额:
      --
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      2024
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    来源于山羊草属的连锁抗锈病基因 Yr35和Lr53的克隆及其育种利用
    • 批准号:
      32472159
    • 项目类别:
      面上项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      陈时盛
    • 依托单位:
    小麦成株抗条锈病基因Yr331的克隆及功能验证
    • 批准号:
      32302364
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      30万元
    • 批准年份:
      2023
    • 负责人:
      闫晓翠
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