Dataset presented in the manuscript "The sensitivity of convective cloud ensemble statistics to horizontal resolution in idealized RCE simulations" by J. Savre and G. Craig

Main Information

Creator/Author:
Savre, Julien
Contributors:
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Year of Publication:
2022
Faculty:
Faculty of Physics

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Is Identical To:
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Content-related Information

Abstract:
All data contained in this dataset has been used and analyzed in detail in the manuscript "The sensitivity of convective cloud ensemble statistics to horizontal resolution in idealized RCE simulations" (J. Savre and G. Craig) submitted to the Journal of the Atmospheric Sciences in August 2022. The present README file describes briefly the files (naming convention, structure and content) gathered in the folder. The dataset has been produced using the MISU-MIT Cloud and Aerosol (MIMICA) model, a limited area, high-resolution cloud resolving model dedicated to atmospheric applications. The model was configured to run a case of Radiative Convective Equilibrium (RCE) in a 128x128 km2 periodic domain over an ocean surface at fixed temperature (300 K). 20 numerical experiments were designed based on this initial setup in which both the model's horizontal resolution and the fixed cooling rate were simultaneously varied. The data is thus collected in 20 different folders: - Parent directories RCE2, RCE4, RCE8, RCE12 gather data produced at cooling rates of -2 K/d, -4 K/d, -8 K/d and -12 K/d, respectively - Sub-directories 2km, 1km, 500m, 250m, 125m gather data generated at the corresponding cooling rates and horizontal resolutions of 2 km, 1 km, 500 m, 250 m and 125 m.
Keywords:
cloud resolving model simulations
radiative convective equilibrium
cloud ensemble statistics
atmospheric convection
DDC:
550 Earth sciences

Identifier

DOI:
https://doi.org/10.5282/ubm/data.321
lmUB:
46691bd1-5e33-4728-bdd4-b5a9370b933c

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