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首页> 外文期刊>Journal of Applied Meteorology and Climatology >Remote Sensing of Multilayer Cloud-Top Pressure Using Combined Measurements of MERIS and AATSR on board Envisat
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Remote Sensing of Multilayer Cloud-Top Pressure Using Combined Measurements of MERIS and AATSR on board Envisat

机译：在Envisat上使用MERIS和AATSR的组合测量对多层云顶压力进行遥感

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摘要

A novel and unique algorithm for the retrieval of multilayer cloud-top pressure is presented, relying on synergetic observations of the Medium Resolution Imaging Spectrometer (MERIS) and Advanced Along Track Scanning Radiometer (AATSR) on board the Environmental Satellite (Envisat). The retrieval is based on the exploitation of the differing signals observed in the thermal infrared spectral region (AATSR) and the oxygen A band at 0.76 mum (MERIS). Past studies have shown that the cloud-top pressure retrieved from MERIS measurements is highly accurate in the case of low single-layered clouds. In contrast, in the presence of multilayered clouds like cirrus overlying water clouds, the derived cloud height is biased. In this framework, an optimal estimation algorithm for the correction of the measured O_2 A transmission for the influence of the upper cloud layer was developed. The algorithm is best applicable in cases of optically thin cirrus (1 <= T <= 5) above optically thick water clouds (t > 5), asfound frequently in the vicinity of convective or frontal cloud systems. The split-window brightness temperature difference technique is used for the identification of suitable cases. The sensitivities of the AATSR and MERIS measurements to multilayeredclouds are presented and discussed, revealing that in the case of dual-layered clouds, the AATSR-derived cloud height is close to the upper cloud layer, even if it is optically thin. In contrast, the cloud height retrieved from MERIS measurements represents the optical center of the cloud system, which is close to the lower layer in cases where the upper layer is optically thin. Two case studies of convective, multilayered cloud systems above the northern Atlantic Ocean are shown, demonstrating the plausibility of the approach. The presented work is relevant especially in view of the upcoming Global Monitoring for Environment and Security Sentinel-3 satellite to be launched in 2012 that will carry the respective MERIS and AATSR follow-up instruments Ocean and Land Colour Instrument (OLCI) and Sea and Land Surface Temperature Radiometer (SLSTR).
机译：提出了一种新颖且独特的算法，用于检索环境卫星（Envisat）上中分辨率成像光谱仪（MERIS）和高级沿航迹扫描辐射仪（AATSR）的协同观测结果。该检索是基于对在热红外光谱区域（AATSR）和0.76微米的氧气A波段（MERIS）观察到的不同信号的利用。过去的研究表明，在低单层云的情况下，从MERIS测量获得的云顶压力非常准确。相反，在卷云覆盖水云等多层云的情况下，导出的云高度有偏差。在此框架下，针对上层云层的影响，开发了一种校正估计的O_2 A传输的最佳估计算法。该算法最适用于光学对厚卷云（1 <= T <= 5）高于光学对厚水云（t> 5）的情况，这种现象在对流或额云系统附近经常发现。分割窗口亮度温差技术用于识别合适的情况。介绍和讨论了AATSR和MERIS测量对多层云的敏感性，揭示了在双层云的情况下，即使AATSR衍生的云层光学上很薄，它的高度也接近上层云层。相反，从MERIS测量中获取的云层高度表示云层系统的光学中心，在上层光学较薄的情况下，它接近下层。显示了对北大西洋上空对流多层云系统的两个案例研究，证明了该方法的合理性。鉴于即将于2012年发射的全球环境与安全监测Sentinel-3卫星将与各自的MERIS和AATSR后续仪器海洋和陆地颜色仪器（OLCI）以及海洋和陆地相关，因此提出的工作尤其有意义。表面温度辐射计（SLSTR）。

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