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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/V002996/1
负责人:
Matthew Rigby
金额:
$70.48万
依托单位:
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 --

项目摘要

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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(9)
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会议论文
DOI: 10.1038/s41467-021-23229-2
发表时间: 2021-05-18
期刊: Nature communications
影响因子: 16.6
作者: [Lickley M, Fletcher S, Rigby M, Solomon S]
通讯作者: Solomon S
CFC-11 emissions are declining as expected in Western Europe
西欧 CFC-11 排放量正按预期下降
DOI: 10.5194/egusphere-2023-40
发表时间: 2023
期刊:
影响因子: --
作者: [Redington A]
通讯作者: Redington A
A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME
用于拉格朗日粒子分散模型足迹的机器学习模拟器:使用 NAME 的案例研究
DOI: 10.5194/egusphere-2022-1174
发表时间: 2022
期刊:
影响因子: --
作者: [Fillola E]
通讯作者: Fillola E
Investigating HALocarbon impacts on the global Environment (InHALE)
  • 批准号:
    NE/X00452X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $247.04万
  • 财政年份:
    2022
  • 负责人:
    Matthew Rigby
  • 依托单位:
COVID-19: Rapid detection of the impact of COVID-19 on UK greenhouse gas emissions
  • 批准号:
    NE/V00963X/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $10.18万
  • 财政年份:
    2020
  • 负责人:
    Matthew Rigby
  • 依托单位:
Detection and Attribution of Regional greenhouse gas Emissions in the UK (DARE-UK)
  • 批准号:
    NE/S004211/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $131.06万
  • 财政年份:
    2019
  • 负责人:
    Matthew Rigby
  • 依托单位:
HUGS: a Hub for Uk Greenhouse gas data Science
  • 批准号:
    NE/S016155/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $27.33万
  • 财政年份:
    2019
  • 负责人:
    Matthew Rigby
  • 依托单位:
国内基金
海外基金
碳-铁-微生物对滩涂围垦稻田土壤团聚体形成和稳定的调控机制
  • 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
  • 负责人:
    宋未
  • 依托单位: