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Confronting Large-Eddy Simulations with Stereo Camera Data by means of reconstructed hemispheric Cloud Size Distributions

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Zenodo2025-05-23 更新2026-05-26 收录
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Dataset to produce the results of the publication: "Confronting Large-Eddy Simulations with Stereo Camera Data by means of reconstructed hemispheric Cloud Size Distributions". This dataset supports the findings presented in the publication and includes comprehensive resources for replicating its analysis and visualization. The dataset encompasses: Dutch Atmospheric Large-Eddy Simulation (DALES) Data Configuration files Selected simulation output data Image Data Rendered stereo camera images from the DALES output Actual stereo camera images Cloud masks generated from these images Camera-Based Reconstructions Reconstructed cloud fields from the rendered camera images Reconstructed cloud fields from the actual camera images Derived Cloud Metrics Cloud base areas, cloud base heights, and cloud cover from the camera-based reconstructions Observational Data Radiosondes, Ceilometer, and Cloudnet measurements Cloud cover from radiation measurements Mixed layer height from the Doppler lidar Reproduction Scripts Scripts to reproduce the analysis and figures This research was supported by the U.S. Department of Energy's Atmospheric System Research, an Office of Science Biological and Environmental Research program, under grant DE-SC0022126. The Gauss Centre for Supercomputing e.V. (https://www.gauss-centre.eu/) is acknowledged for providing computing time on the Gauss Centre for Supercomputing (GCS) supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under project RCONGM. JOYCE data were provided by the Institute for Geophysics and Meteorology of the University of Cologne. JOYCE is a collaborative research platform between University of Cologne and Forschungszentrum Jülich within the European research infrastructure ACTRIS. We acknowledge ACTRIS and Finnish Meteorological Institute for providing Cloudnet data which is available for download from https://cloudnet.fmi.fi. We acknowledge ECMWF for providing IFS model data.

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Zenodo
创建时间:
2024-10-28
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