The UK Earth system modelling project.

英国地球系统建模项目。

基本信息

  • 批准号:
    NE/N018036/1
  • 负责人:
  • 金额:
    $ 241.89万
  • 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
  • 起止时间:
    2016 至 无数据
  • 项目状态:
    已结题

项目摘要

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.
全球气候变化是人类面临的主要环境威胁之一。要制定适当的减缓和适应战略,就需要准确预测地球气候的未来状况。为了解决这个问题,研究界已经开发了全球气候模式(GCM),描述耦合气候系统中的主要物理过程。这些模拟计算机模型在模拟时间中向前整合,从工业化前时期(1850年之前)到现在,受主要温室气体(如二氧化碳,甲烷,臭氧),气溶胶和土地使用的观测估计的影响。然后,这些模型继续模拟未来,这些未来是由一系列温室气体、气溶胶和土地使用情景所推动的,这些情景代表了未来可能的社会经济发展途径。然后将每个随时间演变的模型未来气候与同一模型的工业化前和当今气候进行比较。这种分析的结果是一套气候变化估计数,与每一种应用的发展途径相联系,可用于评估潜在的社会经济和生态影响,并有助于制定气候变化减缓和适应政策。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驱动的,二氧化碳将地球排放的一小部分辐射捕获在大气中,使大气和地球表面变暖。二氧化碳增加造成的这种直接升温可因气候系统中的各种反馈(例如涉及水蒸气、云或海冰)而放大或减弱。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%被陆地生物圈和世界海洋以大致相等的方式吸收。越来越多的证据表明,这些天然碳库在吸收人类排放的二氧化碳方面的效率可能会在未来发生变化,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部分留在大气中,从而在二氧化碳累积排放量一定的情况下造成更大的气候变化(变暖),为了满足模拟全球气候变化和碳循环对气候变化和大气成分变化的反应的需要,我们正在开发第一个英国地球系统模型,该模型基于英国气象局开发的核心物理GCM HadGEM 3。这一发展是NERC中心和气象局之间的重大合作,将大量核心研究和开发整合到一个单一的世界领先的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 AR6。该项目的主要重点是评估UKESM 1模式模拟的各种气候和地球化学过程和相互作用,目的是增加对未来模型预测的信心。该项目还将生成和分析一套此类预测,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,预计于2023年发布。

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)
Arctic Ocean Boundary Exchanges: A Review
北冰洋边界交流:回顾
  • DOI:
    10.5670/oceanog.2022.133
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Bacon S
  • 通讯作者:
    Bacon S
Meridional Ocean Carbon Transport
经向海洋碳传输
  • DOI:
    10.1029/2019gb006336
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Aldama-Campino A
  • 通讯作者:
    Aldama-Campino A
AR6 Climate Change 2021: The Physical Science Basis
AR6 2021 年气候变化:物理科学基础
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Veronika Eyring
  • 通讯作者:
    Veronika Eyring
Slow-sinking particulate organic carbon in the Atlantic Ocean: Magnitude, flux, and potential controls
  • DOI:
    10.1002/2017gb005638
  • 发表时间:
    2017-07-01
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Baker, Chelsey A.;Henson, Stephanie A.;Sanders, Richard
  • 通讯作者:
    Sanders, Richard
Arctic connections between sea ice, ocean dynamics and biogeochemistry in the UK Earth System Model (UK ESM1): present climate and future scenarios
英国地球系统模型(UK ESM1)中海冰、海洋动力学和生物地球化学之间的北极联系:当前气候和未来情景
  • DOI:
    10.5194/egusphere-egu2020-8178
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Aksenov Y
  • 通讯作者:
    Aksenov Y
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Ekaterina Popova其他文献

Resolving and Parameterising the Ocean Mesoscale in Earth System Models
  • DOI:
    10.1007/s40641-020-00164-w
  • 发表时间:
    2020-10-07
  • 期刊:
  • 影响因子:
    10.300
  • 作者:
    Helene T. Hewitt;Malcolm Roberts;Pierre Mathiot;Arne Biastoch;Ed Blockley;Eric P. Chassignet;Baylor Fox-Kemper;Pat Hyder;David P. Marshall;Ekaterina Popova;Anne-Marie Treguier;Laure Zanna;Andrew Yool;Yongqiang Yu;Rebecca Beadling;Mike Bell;Till Kuhlbrodt;Thomas Arsouze;Alessio Bellucci;Fred Castruccio;Bolan Gan;Dian Putrasahan;Christopher D. Roberts;Luke Van Roekel;Qiuying Zhang
  • 通讯作者:
    Qiuying Zhang
[The improvement of quality of life of patients with multiple sclerosis over 15-year period].
[15年来多发性硬化症患者生活质量的改善]。
A sustainable blue economy may not be possible in Tanzania without cutting emissions
如果不减排,坦桑尼亚可能无法实现可持续的蓝色经济。
  • DOI:
    10.1016/j.scitotenv.2024.174623
  • 发表时间:
    2024-10-15
  • 期刊:
  • 影响因子:
    8.000
  • 作者:
    Ana M. Queirós;Elizabeth Talbot;Flower E. Msuya;Baraka Kuguru;Narriman Jiddawi;Shigalla Mahongo;Yohana Shaghude;Christopher Muhando;Elias Chundu;Zoe Jacobs;Sevrine Sailley;Elina A. Virtanen;Markku Viitasalo;Kennedy Osuka;Shankar Aswani;Jack Coupland;Rob Wilson;Sarah Taylor;Jose A. Fernandes-Salvador;Simon Van Gennip;Ekaterina Popova
  • 通讯作者:
    Ekaterina Popova
[Primary-progressive multiple sclerosis as an atypical demyelinating process].
[原发性进行性多发性硬化症作为一种非典型脱髓鞘过程]。
Phase equilibria of lysozyme precipitation with the volatile salt ammonium carbamate
  • DOI:
    10.1016/j.fluid.2010.01.012
  • 发表时间:
    2010-05-25
  • 期刊:
  • 影响因子:
  • 作者:
    Erika Ohta Watanabe;Ekaterina Popova;Everson Alves Miranda;Gerd Maurer;Pedro de Alcântara Pessôa Filho
  • 通讯作者:
    Pedro de Alcântara Pessôa Filho

Ekaterina Popova的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Ekaterina Popova', 18)}}的其他基金

UKESM 1 Year Extension
UKESM 1 年延期
  • 批准号:
    NE/V013181/1
  • 财政年份:
    2021
  • 资助金额:
    $ 241.89万
  • 项目类别:
    Research Grant
GLORIA - Global Learning Opportunities for Regional Indian ocean Adaptation
GLORIA - 印度洋区域适应的全球学习机会
  • 批准号:
    NE/M007634/1
  • 财政年份:
    2015
  • 资助金额:
    $ 241.89万
  • 项目类别:
    Research Grant
SIRENA (Strategic Impact of Research Engaging NEMO Applications)
SIRENA(NEMO 应用研究的战略影响)
  • 批准号:
    NE/M00693X/1
  • 财政年份:
    2014
  • 资助金额:
    $ 241.89万
  • 项目类别:
    Research Grant
GOBLIN (Global Ocean modelling Builds Links with INdustry)
GOBLIN(全球海洋建模与行业建立联系)
  • 批准号:
    NE/M006972/1
  • 财政年份:
    2014
  • 资助金额:
    $ 241.89万
  • 项目类别:
    Research Grant
OCTOPUS (Ocean Circulation and Transport for Oil Propagation from Underwater Spills)
章鱼(海洋环流和水下泄漏石油传播的运输)
  • 批准号:
    NE/L008106/1
  • 财政年份:
    2014
  • 资助金额:
    $ 241.89万
  • 项目类别:
    Research Grant
GULLS
海鸥
  • 批准号:
    NE/L008750/1
  • 财政年份:
    2014
  • 资助金额:
    $ 241.89万
  • 项目类别:
    Research Grant

相似国自然基金

基于Google Earth Engine云平台的遥感图像去云研究
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    10.0 万元
  • 项目类别:
    省市级项目
SCIENCE CHINA: Earth Sciences
  • 批准号:
    41224003
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
SCIENCE CHINA Earth Sciences(中国科学:地球科学)
  • 批准号:
    41024801
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目

相似海外基金

EAGER: Generalizing Monin-Obukhov Similarity Theory (MOST)-based Surface Layer Parameterizations for Turbulence Resolving Earth System Models (ESMs)
EAGER:将基于 Monin-Obukhov 相似理论 (MOST) 的表面层参数化推广到湍流解析地球系统模型 (ESM)
  • 批准号:
    2414424
  • 财政年份:
    2024
  • 资助金额:
    $ 241.89万
  • 项目类别:
    Standard Grant
AI4PEX: Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models
AI4PEX:人工智能和机器学习,用于增强地球系统模型中过程和极值的表示
  • 批准号:
    10103109
  • 财政年份:
    2024
  • 资助金额:
    $ 241.89万
  • 项目类别:
    EU-Funded
CERTAINTY: Cloud-aERosol inTeractions & their impActs IN The earth sYstem
确定性:云与气溶胶相互作用
  • 批准号:
    10107237
  • 财政年份:
    2024
  • 资助金额:
    $ 241.89万
  • 项目类别:
    EU-Funded
Cloud-aERosol inTeractions & their impActs IN The earth sYstem (CERTAINTY)
云-气溶胶相互作用
  • 批准号:
    10104202
  • 财政年份:
    2024
  • 资助金额:
    $ 241.89万
  • 项目类别:
    EU-Funded
Exploring Tipping Points and Their Impacts Using Earth System Models (TipESM)
使用地球系统模型探索临界点及其影响 (TipESM)
  • 批准号:
    10090271
  • 财政年份:
    2024
  • 资助金额:
    $ 241.89万
  • 项目类别:
    EU-Funded
SBIR Phase II: Low Earth Orbit Navigation System (LEONS) - The Ground Network
SBIR 第二阶段:近地轨道导航系统 (LEONS) - 地面网络
  • 批准号:
    2322418
  • 财政年份:
    2024
  • 资助金额:
    $ 241.89万
  • 项目类别:
    Cooperative Agreement
Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models (AI4PEX)
人工智能和机器学习增强地球系统模型中过程和极值的表示(AI4PEX)
  • 批准号:
    10093450
  • 财政年份:
    2024
  • 资助金额:
    $ 241.89万
  • 项目类别:
    EU-Funded
TipESM: Exploring Tipping Points and Their Impacts Using Earth System Models
TipESM:使用地球系统模型探索临界点及其影响
  • 批准号:
    10103098
  • 财政年份:
    2024
  • 资助金额:
    $ 241.89万
  • 项目类别:
    EU-Funded
Climate Tipping Points: Uncertainty-aware quantification of Earth system tipping potential from observations and models and assessment of associated climatic, ecological, and socioeconomic impacts
气候临界点:通过观测和模型以及对相关气候、生态和社会经济影响的评估,对地球系统潜在的不确定性进行量化
  • 批准号:
    10090795
  • 财政年份:
    2024
  • 资助金额:
    $ 241.89万
  • 项目类别:
    EU-Funded
European Eddy-RIch Earth System Models (EERIE)
欧洲富涡地球系统模型 (EERIE)
  • 批准号:
    10049639
  • 财政年份:
    2023
  • 资助金额:
    $ 241.89万
  • 项目类别:
    EU-Funded
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了