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OpenGHG: A community platform for greenhouse gas data science

OpenGHG: A community platform for greenhouse gas data science
OpenGHG:温室气体数据科学社区平台
批准号:
NE/V002821/1
负责人:
Peter Levy
金额:
$15.0万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
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英文摘要
With numerous governments, cities, and organisations declaring climate emergencies and net-zero emissions targets, greenhouse gases (GHGs) are now the focus of international geopolitics and UK domestic policies. Furthermore, with the recent identification of violations of the Montreal Protocol, ozone depleting substances (ODS), are receiving renewed attention. It is therefore critically important to be able to analyse GHG and ODS emissions trends, examine spatial patterns, estimate future trajectories, and explore mitigation options in an open, transparent and publicly accessible way. Our proposed project will enable this, using state-of-the-art computing technology to create a platform, "OpenGHG".The estimation of GHG and ODS emissions requires close collaboration between a diverse group of scientists and stakeholders: "bottom-up" methods rely on statistical information collected by governments and industries, combined with scientific studies of the emissions intensity of particular activities, or the development of computer models that describe how human or natural processes produce or absorb GHGs. Complementary "top-down" techniques rely on instruments developed by spectroscopists and analytical chemists, the data from which are analysed along with outputs from meteorological models using advanced statistical methods. The data that is being generated by these diverse research and stakeholder communities is growing rapidly. However, the development of computational tools to help researchers aggregate data from such a wide range of sources and carry out and share analyses has not kept pace. Furthermore, given the sensitive nature of, for example, the inference of national GHG or ODS emissions, these communities must urgently take steps to make their analyses more transparent and reproducible.OpenGHG meets these needs, by providing an open, cloud-based, platform for researchers to share data and analysis methods and publish workflows. Furthermore, we have co-designed with our stakeholders, a range of tools that will facilitate the sharing of research outputs with governments, private companies and the public. The OpenGHG platform will:- Continuously incorporate and standardise up to date GHG and ODS measurements, bottom-up emission estimates, and a range of ancillary information related to GHG and ODS emissions. This data will be pulled automatically, or on demand, from a range of public archives, or pushed to the platform by data providers seeking to analyse or share their own data - Provide a wide range of analysis options, including the ability to design, publish and share custom workflows- Allow production of new top-down and bottom-up emissions estimates by accessing pre-existing and newly developed models and methods incorporated into the platform- Provide users with lower levels of computational expertise an easy-to-use interface for the most useful data analysis and visualisation. This will include comparisons of top-down and bottom-up estimates of emissions from different sectors of the economy, and potential future warming from different emissions scenarios.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
Quantifying methane emissions from fossil fuel sources using a Bayesian inverse model and observations of ethane with an uncertain emissions ratio
使用贝叶斯逆模型量化化石燃料来源的甲烷排放量以及对具有不确定排放比的乙烷的观测
DOI: 10.5194/egusphere-egu21-8869
发表时间: 2021
期刊:
影响因子: --
作者: [Ramsden A]
通讯作者: Ramsden A
Challenges in scaling up greenhouse gas fluxes: experience from the UK Greenhouse Gas Emissions and Feedbacks Programme
扩大温室气体通量的挑战:英国温室气体排放和反馈计划的经验
DOI: 10.1002/essoar.10509113.1
发表时间: 2021
期刊:
影响因子: --
作者: [Levy P]
通讯作者: Levy P
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
DOI: 10.5194/acp-2021-734-supplement
发表时间: 2021
期刊:
影响因子: --
作者: [Ramsden A]
通讯作者: Ramsden A
7
    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:
    Detection and Attribution of Regional greenhouse gas Emissions in the UK (DARE-UK)
    • 批准号:
      NE/S003614/2
    • 项目类别:
      Research Grant
    • 资助金额:
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    • 财政年份:
      2019
    • 负责人:
      Peter Levy
    • 依托单位:
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    • 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:
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    • 批准号:
      41977088
    • 项目类别:
      面上项目
    • 资助金额:
      61.0万元
    • 批准年份:
      2019
    • 负责人:
      刘亚龙
    • 依托单位:
    水稻种子际固有细菌的群落多样性及其瞬时演替研究
    • 批准号:
      30770069
    • 项目类别:
      面上项目
    • 资助金额:
      30.0万元
    • 批准年份:
      2007
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