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Improvements to the OMI O2–O2 operational cloud algorithm and comparisons with ground-based radar–lidar observations

机译:OMI O2-O2运行云算法的改进和基于地面雷达激光雷达观测的比较

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The OMI (Ozone Monitoring Instrument on board NASA's Earth Observing System (EOS) Aura satellite) OMCLDO2 cloud product supports trace gas retrievals of for example ozone and nitrogen dioxide. The OMCLDO2 algorithm derives the effective cloud fraction and effective cloud pressure using a DOAS (differential optical absorption spectroscopy) fit of the O2–O2 absorption feature around 477?nm. A new version?of the OMI OMCLDO2 cloud product is presented that contains several improvements, of which the introduction of a temperature correction on the O2–O2 slant columns and the updated look-up tables have the largest impact. Whereas the differences in the effective cloud fraction are on average limited to 0.01, the differences of the effective cloud pressure can be up to 200?hPa, especially at cloud fractions below 0.3. As expected, the temperature correction depends on latitude and season. The updated look-up tables have a systematic effect on the cloud pressure at low cloud fractions. The improvements at low cloud fractions are very important for the retrieval of trace gases in the lower troposphere, for example for nitrogen dioxide and formaldehyde. The cloud pressure retrievals of the improved algorithm are compared with ground-based radar–lidar observations for three sites at mid-latitudes. For low clouds that have a limited vertical extent the comparison yields good agreement. For higher clouds, which are vertically extensive and often contain several layers, the satellite retrievals give a lower cloud height. For high clouds, mixed results are obtained.
机译:OMI(臭氧监测仪器上的NASA地球观测系统(EOS)Aura卫星)OMCLDO2云产品支持例如臭氧和二氧化氮的痕量气体检索。 OMCLDO2算法使用O2-O2吸收特征的DOA(差分光学吸收光谱)围绕477Ω·Nm衍出有效的云分数和有效云压力。一个新版本?OMI OMCLDO2云产品,其中包含几种改进,其中在O2-O2倾斜列和更新的查找表上引入温度校正具有最大的影响。然而,有效云分数的差异平均限制为0.01,但有效云压力的差异可以高达200?HPA,特别是在0.3以下的云馏分下。正如预期的那样,温度校正取决于纬度和季节。更新的查找表对低云分数下的云压力有系统影响。低云馏分的改善对于较低对流层中的痕量气体的检索非常重要,例如用于二氧化氮和甲醛。将改进的算法的云压力检索与中纬度的三个位点进行比较与基于地基的雷达 - 激光雷达观察结果进行比较。对于垂直范围有限的低云,比较产生了良好的一致性。对于垂直广泛且通常包含几层的较高云,卫星检索给出较低的云高度。对于高云,获得了混合结果。

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