Confronting Large-Eddy Simulations with Stereo Camera Data by means of reconstructed hemispheric Cloud Size Distributions
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下载链接:
https://zenodo.org/record/14000561
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资源简介:
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 and by the German Research Foundation (DFG) under project number 430226822 (https://gepris.dfg.de/gepris/projekt/430226822). 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 the projects RCONGM and VIRTUALLAB. 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 the 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.
创建时间:
2025-03-10



