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"Halo Region around Shallow Cumulus Clouds in Large Eddy Simulations"

Authors: Jian-Feng Gu; Robert Plant; Christopher Holloway; Peter Clark;

"Halo Region around Shallow Cumulus Clouds in Large Eddy Simulations"

Abstract

This dataset is used to examine the halo regions around shallow cumulus clouds. We performed large eddy simulations of shallow cumulus clouds based on the Barbados Oceanographic and Meteorological Experiment (BOMEX) using Met Office-NERC (National Environment Research Concil) Cloud model (MONC). A set of simulations with different model resolutions is performed. The available horizontal grid spacings are 10 m, 25 m, 50 m and 100 m and the corresponding vertical resolutions are 10 m, 25 m, 25 m, and 40 m, respectively. All simulations have the same model top, that is, 3 km. To save the computational cost, we use the same horizontal grid boxes (600 X 600). To test the robustness, we perform sensitivity simulations with modified mixing length scales in the sub-grid scale turbulence scheme. We also perform large eddy simulations using another numerical model, Cloud Model 1 (CM1) to check if the results are sensitive to the numerical details (advection schemes) and domain size. The simulations with CM1 have the same model resolution configurations as in MONC, but they have the same domain size (7.2 X 7.2 X 3)km^3. For more details of the simulation set up, please refer to our submitted paper. As the whole simulation has a huge dataset, we only choose part of the results that can reproduce the figures in our submitted paper for repository.

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Keywords

Shallow Cumulus Clouds, Halo Region, Large Eddy Simulations

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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