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dc.contributor.authorRémillard, J.
dc.contributor.authorFridlind, A. M.
dc.contributor.authorAckerman, A. S.
dc.contributor.authorTselioudis, George
dc.contributor.authorKollias, Pavlos
dc.contributor.authorMechem, David B.
dc.contributor.authorChandler, Hannah E.
dc.contributor.authorLuke, Ed
dc.contributor.authorWood, Robert
dc.contributor.authorWitte, M. K.
dc.contributor.authorChuang, P. Y.
dc.contributor.authorAyers, J. K.
dc.date.accessioned2018-11-09T19:07:15Z
dc.date.available2018-11-09T19:07:15Z
dc.date.issued2017-12
dc.identifier.citationRemillard, J. et al, (2017) Use of Cloud Radar Doppler Spectra to Evaluate Stratocumulus Drizzle Size Distributions in Large-Eddy Simulations with Size-Resolved Microphysics, https://doi.org/10.1175/JAMC-D-17-0100.1en_US
dc.identifier.urihttp://hdl.handle.net/1808/27291
dc.description.abstractA case study of persistent stratocumulus over the Azores is simulated using two independent large-eddy simulation (LES) models with bin microphysics, and forward-simulated cloud radar Doppler moments and spectra are compared with observations. Neither model is able to reproduce the monotonic increase of downward mean Doppler velocity with increasing reflectivity that is observed under a variety of conditions, but for differing reasons. To a varying degree, both models also exhibit a tendency to produce too many of the largest droplets, leading to excessive skewness in Doppler velocity distributions, especially below cloud base. Excessive skewness appears to be associated with an insufficiently sharp reduction in droplet number concentration at diameters larger than ~200 μm, where a pronounced shoulder is found for in situ observations and a sharp reduction in reflectivity size distribution is associated with relatively narrow observed Doppler spectra. Effectively using LES with bin microphysics to study drizzle formation and evolution in cloud Doppler radar data evidently requires reducing numerical diffusivity in the treatment of the stochastic collection equation; if that is accomplished sufficiently to reproduce typical spectra, progress toward understanding drizzle processes is likely.en_US
dc.publisherAmerican Meteorological Societyen_US
dc.rights© 2017 American Meteorological Society. Any subsequent reuse or distribution of content licensed under CC BY must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectDrizzleen_US
dc.subjectMarine boundary layeren_US
dc.subjectStratiform cloudsen_US
dc.subjectRadars/Radar observationsen_US
dc.subjectLarge eddy simulationsen_US
dc.subjectModel evaluation/performanceen_US
dc.titleUse of Cloud Radar Doppler Spectra to Evaluate Stratocumulus Drizzle Size Distributions in Large-Eddy Simulations with Size-Resolved Microphysicsen_US
dc.typeArticleen_US
kusw.kuauthorMechem, D. B.
kusw.kudepartmentGeography and Atmospheric Scienceen_US
dc.identifier.doi10.1175/JAMC-D-17-0100.1en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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© 2017 American Meteorological Society. Any subsequent reuse or distribution of content licensed under CC BY must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Except where otherwise noted, this item's license is described as: © 2017 American Meteorological Society. Any subsequent reuse or distribution of content licensed under CC BY must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.