Dataset of cloud observations in Arctic Alaska (1999-2009)

This data set of cloud observations at a site in Arctic Alaska is based on the fusion of five cloud inversion products that are well known worldwide. The temporal coverage of the data is from 1999 to 2009, the temporal resolution is one hour, and there are 512 layers vertically with a vertical resolution of 45 m. The spatial coverage is one site in Arctic Alaska, with latitude and longitude coordinates of 71°19′22.8′′N, 156°36′32.4′′ W. The remote sensing cloud inversion data products include the following official products: the all-phase cloud characteristic products produced by the Atmospheric Radiation Measurement Program of the US Department of Energy adopting a parametric method for remote sensing inversion, the ice cloud and hybrid cloud feature products obtained from the US NOAA researchers Matt Shupe and Dave Turner based on cooperative remote sensing inversion (optimization method + parametric method), the hybrid cloud feature (optimization method) products produced by Zhien Wang of the University of Wyoming, USA, the ice cloud feature (parametric method) products produced by Min Deng of the University of Wyoming, USA, and the cloud optical thickness products produced by Qilong Min of the State University of New York at Albany adopting remote sensing inversion (optimization method). The variables of the remote sensing products include cloud water effective radius, cloud water content, cloud ice effective radius, cloud ice content, cloud optical thickness, and cloud water column content; the corresponding observed inversion error ranges are approximately 10-30%, 30-60%, 10-30%, 30-60%, 10-30% and 10-20%. The data files are in the NC format, and an NC file is stored every month.

本数据集汇聚了阿拉斯加北极地区某观测点的云观测数据，该数据集融合了全球范围内广为人知的五种云反转产品。数据的时间跨度涵盖1999年至2009年，时间分辨率为每小时一次，垂直方向上分为512层，每层垂直分辨率为45米。空间覆盖范围限于阿拉斯加北极地区的一个观测点，其经纬度为北纬71°19′22.8′′，西经156°36′32.4′′。遥感云反转数据产品包括以下官方产品：美国能源部大气辐射测量计划采用参数化方法进行遥感反演产生的全相态云特征产品；美国国家海洋和大气管理局研究人员Matt Shupe和Dave Turner基于合作遥感反演（优化方法+参数化方法）获得的冰云和混合云特征产品；美国怀俄明大学Zhien Wang教授采用优化方法生产的混合云特征产品；美国怀俄明大学Min Deng教授采用参数化方法生产的冰云特征产品；以及纽约州立大学奥尔巴尼分校Qilong Min教授采用遥感反演（优化方法）生产的云光学厚度产品。遥感产品变量包括云水有效半径、云水含量、云冰有效半径、云冰含量、云光学厚度和云水柱含量；相应的观测反演误差范围大致为10-30%、30-60%、10-30%、30-60%、10-30%和10-20%。数据文件格式为NC格式，每月存储一个NC文件。