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Detection and Attribution of Regional greenhouse gas Emissions in the UK (DARE-UK)

Detection and Attribution of Regional greenhouse gas Emissions in the UK (DARE-UK)
英国区域温室气体排放的检测和归因(DARE-UK)
批准号:
NE/S003614/2
负责人:
Peter Levy
金额:
$45.78万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
未结题
起止时间:
2019 至 --

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中文摘要
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英文摘要
In order to mitigate the effects of climate change, governments, private companies and individual citizens are taking action to reduce emissions of greenhouse gases (GHGs). Our project will provide new information that can be used to better evaluate the change in emissions that result from these actions. We will help the UK government track the effectiveness of emissions reductions policies that have been implemented to meet the targets laid out in the Climate Change Act (2008), which mandates that GHG emissions are reduced by 80% below 1990 levels by 2050. The UK has played a major part in recent scientific and technological advances in emissions reporting and evaluation. Its GHG emission inventory, which is compiled based on data relating to human activities and rates of emission from each activity, is world-leading. Furthermore, the UK is one of only two countries that regularly submits a second estimate of emissions, those derived from atmospheric measurements, as part of its annual United Nations Framework Convention on Climate Change (UNFCCC) submission. This second "top-down" estimate can be used to assess where uncertainties lie in the inventory and where further development is needed. However, limitations exist in our scientific knowledge and in our technical capabilities that prevent the UK, or any other country, from further improving its emissions reports through the incorporation of atmospheric data. Through the NERC Greenhouse Gas & Emissions Feedback programme, which ended in 2017, we demonstrated the ability to quantify the UK's net national GHG fluxes using atmospheric observations. However, we have not yet been able to separately estimate fossil fuel and biospheric carbon dioxide sources and sinks, or determine the major sectors driving changes in the UK's methane emissions. This proposal will develop new science to address these needs, and pave the way towards the next generation of GHG evaluation methodologies. Our work will span four key areas:1) Improving models of emissions from individual source and sink sectors to determine when and where GHG emissions to the atmosphere occur from both natural and anthropogenic systems.2) Utilising new surface and satellite atmospheric GHG observations, such as isotopic measurements of methane and carbon dioxide, and measurements of co-emitted or exchanged gases (oxygen, carbon monoxide, nitrogen dioxide and ethane) to provide information on emissions from different sectors.3) Utilising enhanced model-data fusion methods for making use of these new observations and for better quantifying uncertainties.4) Integrating data streams to determine the highest level of confidence in the UK's emissions estimate.To improve the transparency of national reports, scientists and policy makers have been strongly advocating for the combination of such methods in the reporting process. The UNFCCC, at its 2017 Conference of Parties, acknowledged the important role that emissions quantified through atmospheric observations could have in supporting inventory evaluation (SBSTA/2017/L.21). Through our close links to the inventory communities in the UK and around the world, the IPCC and to UK policy makers, we can ensure that our work will be used to update and improve the UK's GHG submission to the UNFCCC and will showcase methods of best-practice.
期刊论文(10)
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会议论文
Supplementary material to "Atmospheric oxygen as a tracer for fossil fuel carbon dioxide: a sensitivity study in the UK"
“大气中的氧气作为化石燃料二氧化碳的示踪剂:英国的一项敏感性研究”的补充材料
DOI: 10.5194/egusphere-2023-385-supplement
发表时间: 2023
期刊:
影响因子: --
作者: [Chawner H]
通讯作者: Chawner H
Mapping soil moisture across the UK: assimilating cosmic-ray neutron sensors, remotely-sensed indices, rainfall radar and catchment water balance data in a Bayesian hierarchical model
绘制英国各地的土壤湿度图:在贝叶斯分层模型中同化宇宙射线中子传感器、遥感指数、降雨雷达和流域水平衡数据
DOI: 10.5194/egusphere-2023-2041
发表时间: 2023
期刊:
影响因子: --
作者: [Levy P]
通讯作者: Levy P
DOI: 10.1016/j.agrformet.2019.107812
发表时间: 2020-01
期刊: Agricultural and Forest Meteorology
影响因子: 6.2
作者: [N. Cowan;P. Levy;J. Maire;M. Coyle;S. Leeson;D. Famulari;M. Carozzi;E. Nemitz;U. Skiba]
通讯作者: N. Cowan;P. Levy;J. Maire;M. Coyle;S. Leeson;D. Famulari;M. Carozzi;E. Nemitz;U. Skiba
Atmospheric oxygen as a tracer for fossil fuel carbon dioxide: a sensitivity study in the UK
大气中的氧气作为化石燃料二氧化碳的示踪剂:英国的一项敏感性研究
DOI: 10.5194/egusphere-2023-385
发表时间: 2023
期刊:
影响因子: --
作者: [Chawner H]
通讯作者: Chawner H
OpenGHG: A community platform for greenhouse gas data science
  • 批准号:
    NE/V002821/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2020
  • 负责人:
    Peter Levy
  • 依托单位:
Landscapes For Sequestering Carbon: a dynamic marginal abatement cost curve approach with Bayesian spatio-temporal modelling
  • 批准号:
    NE/T003960/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $1.38万
  • 财政年份:
    2019
  • 负责人:
    Peter Levy
  • 依托单位:
Landscapes For Sequestering Carbon: a dynamic marginal abatement cost curve approach with Bayesian spatio-temporal modelling
  • 批准号:
    NE/T003960/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $5.06万
  • 财政年份:
    2019
  • 负责人:
    Peter Levy
  • 依托单位:
Detection and Attribution of Regional greenhouse gas Emissions in the UK (DARE-UK)
  • 批准号:
    NE/S003614/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $60.8万
  • 财政年份:
    2019
  • 负责人:
    Peter Levy
  • 依托单位:
海外基金