Cloudnet target categorization during PS106 ...

• Main Authors: Griesche, Hannes, Seifert, Patric, Engelmann, Ronny, Radenz, Martin, Bühl, Johannes
• Format: Dataset
• Language: English
• Published: PANGAEA 2020
• Subjects: Event label; DATE/TIME; File name; File format; File size; Uniform resource locator/link to file; Remote sensing Light detection and ranging, LiDAR; PS106/1; Polarstern; Arctic Amplification AC3; Arctic
• Online Access: https://dx.doi.org/10.1594/pangaea.919344; https://doi.pangaea.de/10.1594/PANGAEA.919344

The dataset contains daily nc-files of the Cloudnet target categorization during Polarstern cruise PS106.The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007 doi:10.1175/BAMS-88-6-883 ).This dataset is an aggregation of data from cloud radar, lidar, a numerical forecast model and optionally a rain gauge and microwave radiometer. It is intended to facilitate the application of synergistic cloud-retrieval algorithms by performing a number of the preprocessing tasks that are common to these algorithms. Each of the observational datasets has been interpolated onto the same grid, although the model data are provided on a reduced height grid. Radar reflectivity has been corrected for attenuation, where possible, and two additional fields have been added: \"category_bits\" contains a categorization of the targets in each pixel and \"quality_bits\" indicates the quality of the data at each pixel. Finally, estimates of the random and systematic errors in reflectivity factor and ... : This is an updated version of this data set: https://doi.pangaea.de/10.1594/PANGAEA.899897 ...