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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Cloud property retrievals for climate monitoring: Implications of differences between Spinning Enhanced Visible and Infrared Imager (SEVIRI) on METEOSAT-8 and Advanced Very High Resolution Radiometer (AVHRR) on NOAA-17
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Cloud property retrievals for climate monitoring: Implications of differences between Spinning Enhanced Visible and Infrared Imager (SEVIRI) on METEOSAT-8 and Advanced Very High Resolution Radiometer (AVHRR) on NOAA-17

机译：用于气候监测的云属性检索：METEOSAT-8上的旋转增强型可见光和红外成像仪（SEVIRI）与NOAA-17上的超高分辨率高分辨率辐射计（AVHRR）之间差异的含义

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In the framework of the Satellite Application Facility on Climate Monitoring (CM-SAF) an algorithm was developed to retrieve Cloud Physical Properties (CPP) from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board the Meteosat Second Generation (METEOSAT?8) and the Advanced Very High Resolution Radiometer (AVHRR) on board the National Oceanic and Atmospheric Administration (NOAA) satellites. This paper presents the CPP algorithm and determines if SEVIRI can be used together with AVHRR to build a consistent and accurate data set of cloud optical thickness (COT) and cloud liquid water path (CLWP) over Europe for climate research purposes. After quantifying the differences in 0.6 and 1.6 μm operational calibrated reflectances of SEVIRI and AVHRR, a recalibration procedure is proposed to normalize and absolutely calibrate these reflectances. The effects of recalibration, spatial resolution, and viewing geometry differences on the SEVIRI and AVHRR cloud property retrievals are evaluated. The intercomparison of 0.6 and 1.6 μm operationally calibrated reflectances indicates ～6 and ～26% higher reflectances for SEVIRI than for AVHRR. These discrepancies result in retrieval differences between AVHRR and SEVIRI of ～8% for COT and ～60% for CLWP. Owing to recalibration these differences reduce to ～5%, while the magnitude of the median COT and CLWP values of AVHRR decrease ～2 and ～60% and the SEVIRI values increase ～10 and ～55%, respectively. The differences in spatial resolution and viewing geometry slightly influence the retrieval precision. Thus the CPP algorithm can be used to build a consistent and high-quality data set of SEVIRI and AVHRR retrieved cloud properties for climate research purposes, provided the instrument reflectances are recalibrated, preferably guided by the satellite operators.
机译：在气候监测卫星应用设施（CM-SAF）的框架内，开发了一种算法，可从Meteosat第二代（METEOSAT？8）上的旋转增强型可见光和红外成像仪（SEVIRI）中检索云物理特性（CPP）。以及美国国家海洋和大气管理局（NOAA）卫星上的先进超高分辨率辐射计（AVHRR）。本文介绍了CPP算法，并确定SEVIRI是否可以与AVHRR一起使用，以建立用于气候研究目的的欧洲云光学厚度（COT）和云液态水路径（CLWP）的一致且准确的数据集。在量化SEVIRI和AVHRR在0.6和1.6μm的工作校准反射率上的差异之后，提出了重新校准程序以对这些反射率进行归一化和绝对校准。评估了重新校准，空间分辨率和查看几何差异对SEVIRI和AVHRR云属性检索的影响。经操作校准的反射率分别为0.6和1.6μm的比较表明，SEVIRI的反射率比AVHRR高6％〜26％。这些差异导致AVHRR和SEVIRI之间的检索差异，COT约为8％，CLWP约为60％。由于重新校准，这些差异减小到〜5％，而AVHRR的中位COT和CLWP值的幅度分别下降了〜2和〜60％，而SEVIRI值分别上升了〜10和〜55％。空间分辨率和观看几何形状的差异会稍微影响检索精度。因此，CPP算法可用于建立SEVIRI和AVHRR检索到的云特性的一致且高质量的数据集，以进行气候研究，前提是仪器的反射率经过重新校准，最好由卫星运营商进行指导。

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