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首页> 外文期刊>Atmospheric Measurement Techniques >Simulation of the Ozone Monitoring Instrument aerosol index using the NASA Goddard Earth Observing System aerosol reanalysis products
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Simulation of the Ozone Monitoring Instrument aerosol index using the NASA Goddard Earth Observing System aerosol reanalysis products

机译:使用美国宇航局戈达德地球观测系统气溶胶再分析产品仿真臭氧监测仪气溶胶指数

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摘要

We provide an analysis of the commonly used Ozone Monitoring Instrument (OMI) aerosol index (AI) product for qualitative detection of the presence and loading of absorbing aerosols. In our analysis, simulated top-of-atmosphere (TOA) radiances are produced at the OMI footprints from a model atmosphere and aerosol profile provided by the NASA Goddard Earth Observing System (GEOS-5) Modern-Era Retrospective Analysis for Research and Applications aerosol reanalysis (MERRAero). Having established the credibility of the MERRAero simulation of the OMI AI in a previous paper we describe updates in the approach and aerosol optical property assumptions. The OMI TOA radiances are computed in cloud-free conditions from the MERRAero atmospheric state, and the AI is calculated. The simulated TOA radiances are fed to the OMI near-UV aerosol retrieval algorithms (known as OMAERUV) is compared to the MERRAero calculated AI. Two main sources of discrepancy are discussed: one pertaining to the OMI algorithm assumptions of the surface pressure, which are generally different from what the actual surface pressure of an observation is, and the other related to simplifying assumptions in the molecular atmosphere radiative transfer used in the OMI algorithms. Surface pressure assumptions lead to systematic biases in the OMAERUV AI, particularly over the oceans. Simplifications in the molecular radiative transfer lead to biases particularly in regions of topography intermediate to surface pressures of 600 and 1013.25 hPa. Generally, the errors in the OMI AI due to these considerations are less than 0.2 in magnitude, though larger errors are possible, particularly over land. We recommend that future versions of the OMI algorithms use surface pressures from readily available atmospheric analyses combined with high-spatial-resolution topographic maps and include more surface pressure nodal points in their radiative transfer lookup tables.
机译:我们对常用的臭氧监测仪(OMI)气溶胶指数(AI)产品提供了分析,用于定性检测吸收气溶胶的存在和装载。在我们的分析中,模拟的全部大气层(TOA)放射是由NASA戈达德地球观测系统(GEOS-5)现代化的研究和应用气溶胶的现代化回顾性分析的模型气氛和气溶胶型材Reanalysis(Merraero)。在前一篇论文中建立了omi ai的Merraero模拟的可信度,我们描述了方法和气溶胶光学特性假设的更新。从Merraero大气状态计算OMI TOA辐射在无云条件下,计算AI。将模拟的TOA辐射馈送到OMI接近UV气溶胶检索算法(称为OMAERUV)与Merraero计算的AI进行比较。讨论了两个主要差异来源:与表面压力的OMI算法假设有关的,这通常与观察的实际表面压力不同,而另一个与用于简化所用的分子气氛辐射转移中的假设有关。 OMI算法。表面压力假设导致OMAERUV AI中的系统偏差,特别是在海洋上。分子辐射转移中的简化导致偏置,特别是在地形区域中中间的区域压力为600和1013.25HPa。通常,由于这些考虑因素的OMI AI中的误差幅度小于0.2,但是可能的较大误差,特别是在陆地上。我们建议未来的OMI算法版本使用易于使用的大气分析的表面压力与高空间分辨率的地形图相结合,并包括其辐射转移查找表中的更多表面压力节点。

著录项

  • 来源
    《Atmospheric Measurement Techniques》 |2017年第11期|共14页
  • 作者单位

    NASA Goddard Space Flight Ctr Atmospher Chem &

    Dynam Lab Greenbelt MD 20770 USA;

    NASA Goddard Space Flight Ctr Climate &

    Radiat Lab Greenbelt MD 20770 USA;

    NASA Goddard Space Flight Ctr Atmospher Chem &

    Dynam Lab Greenbelt MD 20770 USA;

    NASA Goddard Space Flight Ctr Global Modeling &

    Assimilat Off Greenbelt MD 20770 USA;

    NASA Goddard Space Flight Ctr Global Modeling &

    Assimilat Off Greenbelt MD 20770 USA;

    NASA Goddard Space Flight Ctr Atmospher Chem &

    Dynam Lab Greenbelt MD 20770 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计量学;
  • 关键词

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