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Short wavelength absorption by water vapour

Short wavelength absorption by water vapour
水蒸气的短波长吸收
批准号:
NE/T000767/1
负责人:
Jonathan Tennyson
金额:
$34.78万
依托单位:
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:
已结题
起止时间:
2019 至 --

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中文摘要
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英文摘要
The two dominant radiative transport processes in our atmosphere are absorption of incoming sunlight, and the absorption of outgoing radiation in what is commonly called the greenhouse effect. Despite occurring at significantly different wavelengths, the rotation-vibration spectrum of water is both the dominant absorber of sunlight and the major greenhouse gas. Thus the rotation-vibration spectrum of water is, by some distance, the single most important spectrum for atmospheric processes. Accurate knowledge of water spectra is required for models of global radiative transport and the earth's energy budget and for more detailed studies such as retrievals of column densities and profiles of other species by remote sensing. The spectrum of water is of course very well studied but remains a challenge: it is very extended, complicated (with no regular structure at high resolution) and the intensities of individual atmospherically important transitions have a huge dynamic range. The demands of modern remote sensing satellites require water line intensities with high accuracy for both monitoring water columns and, because water absorption is so ubiquitous that its lines interferes other retrievals, for detection of a long list of trace species. Failure to model water absorptions accurately at best introduces a major source of error into retrievals and at worst can mean they fail altogether thus severely degrading the usefulness of remote observations. Many species, such as HONO, OClO, NO2, SO2, O3, BrO, HCHO, O4, IO and Glyoxal are monitored using their ultraviolet (UV) spectrum. It has become apparent from recent atmospheric studies that accurate representation of water absorption in the near UV is essential for their accurate retrieval. Retrieval of water columns is a major and important activity. Retrieval of water columns in the near UV has significant advantages since the Earth reflects sunlight in a much more uniform fashion at these wavelengths and the weaker absorption means that optical thickness effects which prevent the determination of reliable water columns in humid atmospheres are largely eliminated. However, precise retrievals rely on the availability of accurate laboratory data which are largely lacking. Satellites flying or planned such as NASA's first Earth Venture Instrument Class mission TEMPO (Tropospheric Emissions: Monitoring Pollution) mission, ESA's Sentinal series and Korea's GEMS (geostationary environmental monetaring satellite) mission will analyse the chemical composition of air with high spatial resolution at near UV wavelengths. All these missions will require high quality laboratory data for water over an extended wavelength range stretching into the near-UV. At present these data are simply not available: there are no direct, high-resolution laboratory or atmospheric measurements of water vapour spectra in the region, and atmospheric database such as HITRAN, contain no relevant information on it.The aim of this proposal is to provide comprehensive and accurate data on water absorption at short wavelengths. These data will be generated using techniques of first principle quantum mechanics that have been successfully applied to both absorption by water vapour at longer wavelengths and other key atmospheric species. Where possible the positions of absorption features will be adjusted using laboratory measurements. The resulting line lists will be made available to key groups involved monitoring the Earth's atmosphere in the near UV, placed in data depositories and made available to databases such as HITRAN.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.jqsrt.2021.107716
发表时间: 2021
期刊: Journal of Quantitative Spectroscopy and Radiative Transfer
影响因子: 2.3
作者: [Conway E]
通讯作者: Conway E
Calculated line lists for H216O and H218O with extensive comparisons to theoretical and experimental sources including the HITRAN2016 database
H216O 和 H218O 的计算谱线列表,与理论和实验来源(包括 HITRAN2016 数据库)进行广泛比较
DOI: 10.1016/j.jqsrt.2019.106711
发表时间: 2020
期刊: Journal of Quantitative Spectroscopy and Radiative Transfer
影响因子: 2.3
作者: [Conway E]
通讯作者: Conway E
Measurement and calculation of CO (7-0) overtone line intensities.
CO(7-0)泛音线强度的测量和计算。
DOI: 10.1063/5.0152996
发表时间: 2023
期刊: The Journal of chemical physics
影响因子: --
作者: [Balashov AA]
通讯作者: Balashov AA
Cross-sections for heavy atmospheres: H 2 O continuum
重气氛的横截面:H 2 O 连续体
DOI: 10.1016/j.jqsrt.2021.108013
发表时间: 2022
期刊: Journal of Quantitative Spectroscopy and Radiative Transfer
影响因子: 2.3
作者: [Anisman L]
通讯作者: Anisman L
7
    Radiative transport modeling in technological plasmas and combustion
    • 批准号:
      ST/W000504/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $45.94万
    • 财政年份:
      2021
    • 负责人:
      Jonathan Tennyson
    • 依托单位:
    UK Atomic, Molecular and Optical physics R-matrix consortium (UK AMOR)
    • 批准号:
      EP/R029342/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $46.9万
    • 财政年份:
      2018
    • 负责人:
      Jonathan Tennyson
    • 依托单位:
    Integrated software for electron-molecule collisions
    • 批准号:
      ST/R005133/1
    • 项目类别:
      Fellowship
    • 资助金额:
      $41.07万
    • 财政年份:
      2018
    • 负责人:
      Jonathan Tennyson
    • 依托单位:
    High accuracy transition intensities for ozone
    • 批准号:
      NE/N001508/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $44.22万
    • 财政年份:
      2015
    • 负责人:
      Jonathan Tennyson
    • 依托单位:
    海外基金