首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Observations of near-surface carbon monoxide from space using MOPITT multispectral retrievals
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Observations of near-surface carbon monoxide from space using MOPITT multispectral retrievals

机译:使用MOPITT多光谱检索从空间近地表一氧化碳的观测

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摘要

Using both thermal infrared (TIR) and near infrared (NIR) channels of MOPITT (Measurements of Pollution in the Troposphere) on EOS-Terra, we demonstrate the first coincident multispectral retrievals of carbon monoxide (CO) from space. Exploiting both TIR and NIR channels has been possible due to recent progress in characterizing NIR channel radiance errors. This has allowed us to trade off sensitivity to near surface CO for larger random errors in the combined retrieval. By examining retrieval diagnostics such as DES (degrees of freedom for signal) and averaging kernels for the multispectral retrieval (TIR + NIR) as compared to the TIR-only retrieval, we find that adding the NIR channel to the retrieval significantly increases sensitivity to CO, especially near the surface, but with high spatial variability due to surface albedo variations. The cases with the largest increases in DES are over regions with low thermal contrast between the surface and lower atmosphere. In the tropics (23.4°S-23.4°N), the fraction of daytime land cases with at least 0.4 DES in the surface layer (surface to S00 hPa) is 20% for TIR-only retrievals compared to 59% for multispectral retrievals. Vertical resolution for the surface layer is also improved, in some cases from around 6 km for TIR-only to roughly 1 km for TIR + NIR. Since we apply a single a priori CO profile (unlike MOPITT V4) and error covariance in all the retrievals reported here, these increases are due solely to the addition of the NIR channel. Enhanced sensitivity to near surface CO is especially evident in a case study for central/cast Asia where source regions for urban areas with high population density are clearly identifiable. Although these retrievals are still a research product and require further validation and scientific evaluation, they demonstrate the increased sensitivity to CO in the lowermost troposphere that can be obtained from multispectral MOPITT data.
机译:使用EOS-Terra上的MOPITT(对流层污染测量)的热红外(TIR)和近红外(NIR)通道,我们展示了从空间首次发现的一氧化碳(CO)多重重合光谱。由于最近在表征NIR通道辐射度误差方面取得了进步,因此可以同时利用TIR和NIR通道。这使我们可以权衡对近地表CO的敏感度,以获取组合检索中较大的随机误差。与仅使用TIR的检索相比,通过检查诸如DES(信号的自由度)之类的检索诊断并平均多光谱检索(TIR + NIR)的内核,我们发现将NIR通道添加到检索中可显着提高对CO的敏感性,特别是在地表附近,但由于地表反照率变化而具有很高的空间变异性。 DES增幅最大的情况是地表与较低大气之间的热反差较低的区域。在热带地区(23.4°S-23.4°N),仅TIR检索的表层(表面至S00 hPa)具有至少0.4 DES的白天陆地案例的比例为20%,而多光谱检索为59%。表层的垂直分辨率也有所提高,在某些情况下,仅TIR约为6 km,TIR + NIR约为1 km。由于我们在此处报告的所有检索中都应用了一个先验CO轮廓(与MOPITT V4不同)和误差协方差,因此这些增加完全是由于增加了NIR通道。对中部/亚洲铸件的案例研究尤其明显地增强了对近地表CO的敏感性,在该案例中,可以明确识别出人口密度高的城市地区的来源地区。尽管这些反演仍是研究产品,需要进一步的验证和科学评估,但它们证明了可以从多光谱MOPITT数据获得的对流层最低层对CO的敏感性增加。

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