Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud

DOI：

10.5194/essd-9-881-2017

发表时间：

2017-11

期刊：

Earth System Science Data

影响因子：

11.4

通讯作者：

中科院分区：

地球科学1区

文献类型：

作者：

M. Stengel;Stefan Stapelberg;O. Sus;C. Schlundt;C. Poulsen;G. Thomas;M. Christensen;C. C. Henken-C.;R. Preusker;J. Fischer;A. Devasthale;U. Willén;K. Karlsson;G. Mcgarragh;S. Proud;A. Povey;R. Grainger;J. F. Meirink;A. Feofilov;R. Bennartz;J. Bojanowski;R. Hollmann

抽象的。介绍了基于被动成像卫星传感器AVHRR、MODIS、ATSR2、AATSR和MERIS的新的云特性数据集。开发了两个检索系统，包括用于云检测和云分类的组件，然后基于最优估计(OE)技术的云属性反演。基于OE的反演应用于利用可见光、近红外和热红外波长的测量来同时反演云顶气压、云粒子有效半径和云光学厚度，从而确保光谱的一致性。对反演的云特性进行进一步处理，得到云顶高度、云顶温度、云液态水路径、云冰水路径和光谱云反照率。Cloud_CCI产品是基于像素的检索，是全球等角纬度-经度网格上的每日组合，以及月度云属性(如平均值、标准差和直方图)，也是在全球网格上。所有产品都包含严格的检索和抽样不确定度传播。将传感器家族的轨道属性分组，定义了六个数据集，分别为AVHRR-AM、AVHRR-PM、MODIS-TERRA、MODIS-AQUA、ATSR2-AATSR和MERIS+AATSR，每个数据集包括所有可用传感器的特定子集。数据集的个别特征与生成数据集所依据的检索系统和测量记录的摘要一起提供。文中给出了实例验证结果，并与公认的参考观测进行了比较，证明了数据的良好质量。特别是，与现有数据集相比，确保的光谱一致性和通过所有处理级别的严格不确定性传播可以被视为Cloud_CCI数据集的新特征。此外，各个数据集之间的一致性使它们有可能组合在一起，并有助于研究时间采样和空间分辨率对云气候学的影响。为每个数据集发布了一个数字对象标识符：CLOUD_CCI AVHRR-AM：https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V002 CLOUD_CCI AVHRR-PM：https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V002 CLOUD_CCI MODIS-TERRA：https://doi.org/10.5676/DWD/ESA_Cloud_cci/MODIS-Terra/V002 Cloud_CCI MODIS-AQUA：https://doi.ORG/10.5676/DWD/ESA_CLOUD_CCI/MODIS-AQUA/V002 Cloud_CCI ATSR2-AATSR：https://doi.org/10.5676/DWD/ESA_Cloud_cci/ATSR2-AATSR/V002 Cloud_CCI MERIS+AATSR：https://doi.org/10.5676/DWD/ESA_Cloud_cci/MERIS+AATSR/V002

Abstract. New cloud property datasets based on measurements from the passive imaging satellite sensors AVHRR, MODIS, ATSR2, AATSR and MERIS are presented. Two retrieval systems were developed that include components for cloud detection and cloud typing followed by cloud property retrievals based on the optimal estimation (OE) technique. The OE-based retrievals are applied to simultaneously retrieve cloud-top pressure, cloud particle effective radius and cloud optical thickness using measurements at visible, near-infrared and thermal infrared wavelengths, which ensures spectral consistency. The retrieved cloud properties are further processed to derive cloud-top height, cloud-top temperature, cloud liquid water path, cloud ice water path and spectral cloud albedo. The Cloud_cci products are pixel-based retrievals, daily composites of those on a global equal-angle latitude–longitude grid, and monthly cloud properties such as averages, standard deviations and histograms, also on a global grid. All products include rigorous propagation of the retrieval and sampling uncertainties. Grouping the orbital properties of the sensor families, six datasets have been defined, which are named AVHRR-AM, AVHRR-PM, MODIS-Terra, MODIS-Aqua, ATSR2-AATSR and MERIS+AATSR, each comprising a specific subset of all available sensors. The individual characteristics of the datasets are presented together with a summary of the retrieval systems and measurement records on which the dataset generation were based. Example validation results are given, based on comparisons to well-established reference observations, which demonstrate the good quality of the data. In particular the ensured spectral consistency and the rigorous uncertainty propagation through all processing levels can be considered as new features of the Cloud_cci datasets compared to existing datasets. In addition, the consistency among the individual datasets allows for a potential combination of them as well as facilitates studies on the impact of temporal sampling and spatial resolution on cloud climatologies. For each dataset a digital object identifier has been issued: Cloud_cci AVHRR-AM: https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-AM/V002 Cloud_cci AVHRR-PM: https://doi.org/10.5676/DWD/ESA_Cloud_cci/AVHRR-PM/V002 Cloud_cci MODIS-Terra: https://doi.org/10.5676/DWD/ESA_Cloud_cci/MODIS-Terra/V002 Cloud_cci MODIS-Aqua: https://doi.org/10.5676/DWD/ESA_Cloud_cci/MODIS-Aqua/V002 Cloud_cci ATSR2-AATSR: https://doi.org/10.5676/DWD/ESA_Cloud_cci/ATSR2-AATSR/V002 Cloud_cci MERIS+AATSR: https://doi.org/10.5676/DWD/ESA_Cloud_cci/MERIS+AATSR/V002

Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project

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