BACCUS: Big data for atmospheric chemistry and composition: Understanding and Science

BACCUS：大气化学和成分的大数据：理解和科学

• 批准号: NE/L01291X/1
• 负责人: Mathew Evans
• 金额: $ 27.24万
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FL01291X%2F1
• 关键词: BACCUS; Big; data; atmospheric; chemistry

The atmosphere is composed to millions of chemical compounds. Each of these compounds can have distinct properties chemical and physical but also biological and medical. Our ability to understand these compounds is dependent upon the instrumentation available to us. New advances in instrumentation (high resolution GC-TOF systems) allow us to investigate the composition of the atmosphere in unprecedented detail. However, these new instruments provide a deluge of data that needs to be stored and process. By storing all of the data, rather than throwing away the data that is not yet understood we will create a virtual air archive which can be exploited into the future as our ability to understand the complex instrumentation and chemistry involved becomes more refined. BACCUS provides hardware to deal with this data deluge, provide software and computers to support to analyse and visualise the data and provides some computation to initially interpret the results.

大气是由数百万种化合物组成的。这些化合物中的每一种都有不同的化学和物理性质，也有生物和医学性质。我们了解这些化合物的能力取决于我们可用的仪器。仪器的新进展（高分辨率GC-TOF系统）使我们能够以前所未有的细节研究大气的组成。然而，这些新仪器提供了大量需要存储和处理的数据。通过存储所有的数据，而不是丢弃尚未理解的数据，我们将创建一个虚拟的空气档案，可以在未来利用，因为我们对复杂仪器和化学的理解能力变得更加完善。BACCUS提供硬件来处理这些数据洪流，提供软件和计算机来支持分析和可视化数据，并提供一些计算来初步解释结果。

项目成果

A new diagnostic for tropospheric ozone production

• DOI: 10.5194/acp-17-13669-2017
• 发表时间: 2017-11
• 期刊: Atmospheric Chemistry and Physics
• 影响因子: 6.3
• 作者: Peter M. Edwards;M. Evans

Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10

• DOI: 10.5194/gmd-12-1209-2019
• 发表时间: 2018-10
• 期刊: Geoscientific Model Development
• 影响因子: 5.1
• 作者: C. Keller;M. Evans

Global simulation of tropospheric chemistry at 12.5 km resolution: performance and evaluation of the GEOS-Chem chemical module (v10-1) within the NASA GEOS Earth system model (GEOS-5 ESM)

• DOI: 10.5194/gmd-11-4603-2018
• 发表时间: 2018-11
• 期刊: Geoscientific Model Development
• 影响因子: 5.1
• 作者: Lu Hu;C. Keller;M. S. Long;T. Sherwen;Benjamin M. Auer;Arlindo M. da Silva;J. Nielsen;S. Pawson;Matthew A. Thompson;A. Trayanov;K. Travis;S. Grange;M. Evans;D. Jacob