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Namelists associated with "A Linear Relationship Between Vertical Velocity and Condensation Processes in Deep Convection"

dc.contributor.authorGrant, Leah D.
dc.contributor.authorvan den Heever, Susan C.
dc.contributor.authorHaddad, Ziad S.
dc.contributor.authorBukowski, Jennie
dc.contributor.authorMarinescu, Peter J.
dc.contributor.authorStorer, Rachel L.
dc.contributor.authorPosselt, Derek J.
dc.contributor.authorStephens, Graeme L.
dc.date.accessioned2021-10-22T21:30:28Z
dc.date.available2021-10-22T21:30:28Z
dc.date.issued2021
dc.descriptionThis dataset contains a collection of namelists describing the setups of the various model simulations analyzed for the associated publication, "A Linear Relationship Between Vertical Velocity and Condensation Processes in Deep Convection."en_US
dc.descriptionDepartment of Atmospheric Science
dc.description.abstractVertical velocities and microphysical processes within deep convection are intricately linked, having wide-ranging impacts on water and mass vertical transport, severe weather, extreme precipitation, and the global circulation. The goal of this research is to investigate the functional form of the relationship between vertical velocity, w, and microphysical processes that convert water vapor into condensed water, M, in deep convection. We examine an ensemble of high-resolution simulations spanning a range of tropical and midlatitude environments, a variety of convective organizational modes, and different model platforms and microphysics schemes. The results demonstrate that the relationship between w and M is robustly linear, with the slope of the linear fit being primarily a function of temperature and secondarily a function of supersaturation. The R2 of the linear fit is generally above 0.6 except near the freezing and homogeneous freezing levels. The linear fit is examined both as a function of local in-cloud temperature and environmental temperature. The results for in-cloud temperature are more consistent across the simulation suite, although environmental temperatures are more useful when considering potential observational applications. The linear relationship between w and M is substituted into the condensate tendency equation and rearranged to form a diagnostic equation for w. The performance of the diagnostic equation is tested in several simulations, and it is found to diagnose w to within 1 m s-1 throughout the upper half of the cloud depths. Potential applications of the linear relationship between w and M and the diagnostic w equation are discussed.en_US
dc.description.sponsorshipThe research documented in the associated manuscript has been funded by NASA contract 1439268.en_US
dc.format.mediumZIP
dc.format.mediumTXT
dc.identifier.urihttps://hdl.handle.net/10217/233963
dc.identifier.urihttp://dx.doi.org/10.25675/10217/233963
dc.languageEnglishen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartofResearch Data
dc.relation.isreferencedbyGrant, L. D., S. C. van den Heever, Z. S. Haddad, J. Bukowski, P. J. Marinescu, R. L. Storer, D. J. Posselt, and G. L. Stephens, 2022: A Linear Relationship between Vertical Velocity and Condensation Processes in Deep Convection. J. Atmos. Sci., 79, 449–466, https://doi.org/10.1175/JAS-D-21-0035.1en_US
dc.subjectdeep convectionen_US
dc.subjectmicrophysical processesen_US
dc.subjectcondensation processesen_US
dc.subjectvertical velocityen_US
dc.subjectnumerical simulationsen_US
dc.subjectcloud resolving modelen_US
dc.titleNamelists associated with "A Linear Relationship Between Vertical Velocity and Condensation Processes in Deep Convection"en_US
dc.typeDataseten_US

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