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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Data for the publication "Towards parametrization of precipitating shallow cumulus cloud organization via moisture variance"

Authors: Thomas, Marius Levin; Bastak Duran, Ivan; Schmidli, Juerg;

Data for the publication "Towards parametrization of precipitating shallow cumulus cloud organization via moisture variance"

Abstract

Data accompanying the paper titled: Towards parametrization of precipitating shallow cumulus cloud organization via moisture variance. This repository contains configuration files and output statistics for five idealized simulations run with LES model MicroHH (van Heerwaarden et al., 2017). The experimental setup of all cases is based on the Rain in Cumulus over the Ocean (RICO) field experiment as used in the GEWEX Cloud System Study (GCSS) RICO model inter comparison study (Rauber et al., 2007; vanZanten et al, 2011). The experiment, defined as the standard case (referenced as STD), uses the GCSS configuration, while the others are simulations with deviating vertical moisture contents in the cloud layer and the free atmosphere. The moisture content increases from the driest case, DRY, through STD, MID, MST, and HIGH. All simulations are performed on a 50 x 50 x 6 km grid with an isotropic grid spacing of 25 m. The files are organized in the following way: For each case exist configuration files for the MicroHH simulation: an '.ini' file and a '.py' file that generates initial conditions and forcings. Output statistic files end with '.nc' and contain domain averaged statistics of the total simulation duration of 60 h with a time resolution of 1 min. In addition, for the simulation 'MID', there are additional files containing the domain data of cloud liquid water content at 2 h, 14 h, 16 h, and 30 h of the simulation.

{"references": ["Rauber, R. M., Stevens, B., III, H. T. O., Knight, C., Albrecht, B. A., Blyth, A. M., . . . Zuidema, P. (2007). Rain in shallow cumulus over the ocean: The RICO campaign. Bull. Amer. Meteor. Soc, 88, 1912-1928.", "van Heerwaarden, C. C., van Stratum, B. J. H., Heus, T., Gibbs, J. A., Fedorovich, E., & Mellado, J. P. (2017). Microhh 1.0: a computational fluid dynamics code for direct numerical simulation and large-eddy simulation of atmospheric boundary layer flows. Geo. Model. dev., 1-33. doi:doi.org/10.5194/gmd-10-3145-2017", "van Zanten et al, M. (2011). Controls on precipitation and cloudiness in simulations of trade-wind cumulus as observed during rico. J. Adv. Model. Earth Syst., 3, 19."]}

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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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This indicator 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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impulse
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