PALM-LES / EUREC4A shallow cumulus dataset with 3D cloud output data
收藏DataCite Commons2025-04-10 更新2025-04-16 收录
下载链接:
https://lmuphys.rdm.lab.lrz.de/doi/10.57970/3htyy-tss47
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资源简介:
The dataset features 8 hours of single layer shallow cumulus clouds with an ever increasing cloud deck.
After 8 hours, we increased the output interval to 1s for 2 minutes.
The domain was initialized with dropsonde data from the EUREC4A campaign averaged over the HALO-0128 flight.
A key feature of the dataset is its very high spatial and temporal resolution of 3D output fields (10m/5m and 1 second).
The vision is that the high temporal frequency and spatial resolution of cloud and wind variables will allow for a wide range of offline benchmarks.
Applications that come to our mind are offline benchmark for 1D and 3D radiative heating rate computations, 3D radiative transfer effects on retrievals as well as cloud motion tracking algorithms.
Access to dataData files are available for download at: https://opendata.physik.lmu.de/r4wfp-kp367
提供机构:
LMU Munich, Faculty of Physics
创建时间:
2025-03-24



