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首页> 外文会议>Tenth International Conference on Modelling, Monitoring and Management of Air Pollution Jul, 2002 City of Segovia >Monitoring of trace gas emissions from space: tropospheric abundances of BrO, NO_2, H_2CO, SO_2, H_2O, O_2 and O_4 as measured by GOME
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Monitoring of trace gas emissions from space: tropospheric abundances of BrO, NO_2, H_2CO, SO_2, H_2O, O_2 and O_4 as measured by GOME

机译：监测来自空间的痕量气体排放：通过国美测量的对流层中BrO，NO_2，H_2CO，SO_2，H_2O，O_2和O_4的对流层丰度

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摘要

The Global Ozone Monitoring Experiment (GOME) was launched in April 1995 and is since then continuously operating. GOME consists of four separate channels covering the spectral range from 240 to 790 nm with a moderate spectral resolution of 0.2 to 0.4 nm (FWHM). Originally designed for the measurement of ozone it was also possible to identify a large variety of trace gas absorptions of additional atmospheric species in the spectra recorded by GOME. These include several species which are located mostly or at least partly in the troposphere like BrO, NO_2, HCHO, SO_2, and H_2O, O_2, and O_4. Here we present an overview on the analysis and the interpretation of these measurements. While some products (like BrO and NO_2) are already analysed on a routine basis, some others like SO_2 and HCHO are investigated in case studies. Because of the large size of the ground pixels observed by GOME (40 x 320 km~2) nearly all GOME measurements are at least partly covered by clouds which strongly affect the analysis of the tropospheric absorbers. Examples of a cloud correction based on several parameters measured by GOME including e.g. the absorptions of atmospheric oxygen (O_2) and the oxygen dimer (O_4) are presented.
机译：全球臭氧监测实验（GOME）于1995年4月启动，此后一直持续运行。 GOME由四个独立的通道组成，覆盖240至790 nm的光谱范围，中度光谱分辨率为0.2至0.4 nm（FWHM）。最初是为测量臭氧而设计的，还可以在GOME记录的光谱中识别其他大气物质的多种痕量气体吸收。其中包括几种主要或至少部分位于对流层的物种，例如Br​​O，NO_2，HCHO，SO_2和H_2O，O_2和O_4。在这里，我们对这些测量的分析和解释进行了概述。虽然已经对常规产品（例如BrO和NO_2）进行了常规分析，但在案例研究中仍对SO_2和HCHO等其他产品进行了研究。由于国美观测到的地面像素尺寸较大（40 x 320 km〜2），几乎所有国美观测值至少部分被云覆盖，这严重影响了对流层吸收体的分析。基于国美测量的几个参数进行云校正的示例，例如给出了大气氧（O_2）和氧二聚体（O_4）的吸收。

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