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: University of Bristol
• 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
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FV002996%2F1
• 关键词: OpenGHG; community; platform; greenhouse; gas

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.

由于众多政府，城市和组织宣布气候紧急情况和净零排放目标，温室气体（GHG）现在是国际地缘政治和英国国内政策的重点。此外，随着最近违反蒙特利尔方案的侵犯，臭氧耗尽物质（OD）正在引起人们的注意。因此，能够分析温室气体和OD的排放趋势，检查空间模式，估计未来的轨迹并以公开，透明和公开易于访问的方式探索缓解选择非常重要。我们提出的项目将使用最先进的计算技术来创建一个平台“ OpenGHG”。对温室气体和OD排放的估计需要多样化的科学家和利益相关者之间的密切合作：“自下而上”的方法依赖于政府和行业所收集的统计信息，并与特定的自然活动或自然局部的发展相结合，以说明了对人类自然的发展的科学研究，或者是陈述了自然的模型，或者是对自然的发展的研究。温室气。互补的“自上而下”技术依赖于光谱学家和分析化学家开发的工具，这些仪器使用先进的统计方法分析了数据以及来自气象模型的输出。这些多样化的研究和利益相关者社区正在生成的数据正在迅速增长。但是，开发计算工具以帮助研究人员从如此广泛的来源汇总数据并进行分析并没有保持步伐。此外，考虑到例如国家温室气或OD排放的推断的敏感性，这些社区必须紧急采取措施使他们的分析更加透明和可复制。Epenghg通过提供一个开放的，基于云的，基于云的平台来共享数据和分析方法和工作流程，以满足这些需求。此外，我们还与利益相关者共同设计，这些工具将有助于与政府，私人公司和公众共享研究产出。 OpenGHG平台将： - 连续合并并标准化最新的温室气体和OD测量，自下而上的排放估算以及与温室气体和ODs排放有关的一系列辅助信息。 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最有用的数据分析和可视化的接口。这将包括比较自上而下的和自下而上的估计，从不同排放的情况下，来自经济不同部门的排放量以及未来的变暖。

项目成果

Joint inference of CFC lifetimes and banks suggests previously unidentified emissions.

• 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
• 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
• 作者: Fillola E