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Accurate characterization of winter precipitation using multi-angle snowflake camera, visual hull, advanced scattering methods and polarimetric radar

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dc.contributor.authorNotaroš, Branislav M., author
dc.contributor.authorBringi, Viswanathan N., author
dc.contributor.authorKleinkort, Cameron, author
dc.contributor.authorKennedy, Patrick, author
dc.contributor.authorHuang, Gwo-Jong, author
dc.contributor.authorThurai, Merhala, author
dc.contributor.authorNewman, Andrew J., author
dc.contributor.authorBang, Wonbae, author
dc.contributor.authorLee, GyuWon, author
dc.contributor.authorMDPI, publisher
dc.date.accessioned2017-02-27T15:12:11Z
dc.date.available2017-02-27T15:12:11Z
dc.date.issued2016-06-11
dc.description.abstractThis article proposes and presents a novel approach to the characterization of winter precipitation and modeling of radar observables through a synergistic use of advanced optical disdrometers for microphysical and geometrical measurements of ice and snow particles (in particular, a multi-angle snowflake camera-MASC), image processing methodology, advanced method-of-moments scattering computations, and state-of-the-art polarimetric radars. The article also describes the newly built and established MASCRAD (MASC + Radar) in-situ measurement site, under the umbrella of CSU-CHILL Radar, as well as the MASCRAD project and 2014/2015 winter campaign. We apply a visual hull method to reconstruct 3D shapes of ice particles based on high-resolution MASC images, and perform "particle-by-particle" scattering computations to obtain polarimetric radar observables. The article also presents and discusses selected illustrative observation data, results, and analyses for three cases with widely-differing meteorological settings that involve contrasting hydrometeor forms. Illustrative results of scattering calculations based on MASC images captured during these events, in comparison with radar data, as well as selected comparative studies of snow habits from MASC, 2D video-disdrometer, and CHILL radar data, are presented, along with the analysis of microphysical characteristics of particles. In the longer term, this work has potential to significantly improve the radar-based quantitative winter-precipitation estimation.
dc.description.sponsorshipPublished with support from the Colorado State University Libraries Open Access Research and Scholarship Fund.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationNotaroš, Branislav M., Viswanathan N. Bringi, Cameron Kleinkort, Patrick Kennedy, Gwo-Jong Huang, Merhala Thurai, Andrew J. Newman, Wonbae Bang, and GyuWon Lee, Accurate Characterization of Winter Precipitation Using Multi-Angle Snowflake Camera, Visual Hull, Advanced Scattering Methods and Polarimetric Radar, Atmosphere 76, no. 7 (2016): article 81. http://dx.doi.org/10.3390/atmos7060081
dc.identifier.doihttps://dx.doi.org/10.3390/atmos7060081
dc.identifier.urihttp://hdl.handle.net/10217/179923
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofOpen Access Research and Scholarship Fund (OARS)
dc.rights.licenseThis article is open access and distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectwinter precipitation
dc.subjectpolarimetric radar
dc.subjectin-situ measurements
dc.subjectmulti-angle snowflake camera
dc.subject2D video-disdrometer
dc.subjectelectromagnetic scattering
dc.subjecthydrometeor shapes
dc.subjectfrozen phase microphysics
dc.titleAccurate characterization of winter precipitation using multi-angle snowflake camera, visual hull, advanced scattering methods and polarimetric radar
dc.typeText

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