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Data associated with "Assessing Rain Drop Breakup Parameterizations using Disdrometer Observations"

dc.contributor.authorSaleeby, Stephen
dc.contributor.authorDolan, Brenda
dc.contributor.authorBukowski, Jennie
dc.coverage.spatialVariable locationsen_US
dc.coverage.temporalVariable timesen_US
dc.date.accessioned2022-06-30T22:05:29Z
dc.date.available2022-06-30T22:05:29Z
dc.date.issued2022
dc.descriptionThe data contained herein are the post-processed disdrometer observational data and numerical simulation data. Python Jupyter notebooks are included that were used to process the raw data and to run the analyses and plotting includes herein. The README files describes each included tar file in more detail. The actual raw observational data and model data are too large to include in the repository, but the model namelist files are included that could be used to reproduce the model output. The post-processed data that can be reanalyzed and plotted are included since they are within the space limitation.en_US
dc.descriptionDepartment of Atmospheric Science
dc.description.abstractAn intercomparison of rain drop mean diameter frequency distribution (RDFD) is performed for numerical simulations of precipitating cloud systems using an array of models and microphysics schemes. This includes results from the Regional Atmospheric Modeling System (RAMS) double-moment microphysics, the Hebrew University Cloud Model bin microphysics (HUCM) interfaced to the RAMS parent model, and the Weather Research and Forecasting Model (WRF) with the Thompson, Morrison, Double Moment 6-Class (WDM6), and National Severe Storm Laboratory (NSSL) double-moment schemes. Simulations are examined with respect to the rain drop size distribution (DSD) volume-number mean diameter (Dm) and intercept parameter (Nw). When compared to a suite of disdrometer observations, the RDFD resulting from each microphysics scheme exhibits varying degrees of mean drop size constraints and peaks in the frequency distribution of Dm. A more detailed investigation of the peaked RDFD from the RAMS simulations suggests that the parameterization of rain drop collisional breakup can impose strong limitations on the evolution of simulated drop growth. As such, a summary and comparison of the drop breakup parameterizations among the forementioned microphysics schemes is presented. While some drop breakup parameterizations are adjusted toward the observations by modifying the threshold diameter for the onset of breakup, this study explores the use of a modified maximum breakup efficiency. This method permits the parameterization to retain its threshold breakup diameter, while limiting the strength of drop breakup and permitting a broader range of drop sizes. As a result, the simulated mean drop sizes are in better agreement with observations.en_US
dc.description.sponsorshipThis work was supported by the Department of Energy under Grant DE-SC0017977.en_US
dc.format.mediumTXT
dc.format.mediumTAR
dc.format.mediumGZIP
dc.format.mediumCSV
dc.format.mediumPY
dc.identifier.urihttps://hdl.handle.net/10217/235397
dc.identifier.urihttp://dx.doi.org/10.25675/10217/235397
dc.languageEnglishen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartofResearch Data
dc.relation.isreferencedbySaleeby, S. M., Dolan, B., Bukowski, J., Van Valkenburg, K., van den Heever, S. C., and Rutledge, S. A. 2022 accepted, In press: Assessing Rain Drop Breakup Parameterizations using Disdrometer Observations. J. Atmos. Sci., https://doi.org/10.1175/JAS-D-21-0335.1en_US
dc.rights.licenseThe material is open access and distributed under the terms and conditions of the Creative Commons Public Domain "No rights reserved" (https://creativecommons.org/share-your-work/public-domain/cc0/).
dc.rights.urihttps://creativecommons.org/share-your-work/public-domain/cc0/
dc.subjectDisdrometer rain drop dataen_US
dc.subjectNumerical Weather Simulationsen_US
dc.titleData associated with "Assessing Rain Drop Breakup Parameterizations using Disdrometer Observations"en_US
dc.typeDataseten_US

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README.txt
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Note.2017-doe.micro-all.txt
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Notes file that describes all of the model data included in the RAMS analysis.
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All of the disdrometer data used for the LogNw-D0 rain drop analysis.
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Namelist files for running WRF simulations used in this study.
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RAMSINs.tar
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Namelist files for running the RAMS model simulations for this study.
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