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Impacts of Stochastic Mixing in Idealized Convection-Permitting Simulations of Squall Lines.

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Bibliographic Details
Title: Impacts of Stochastic Mixing in Idealized Convection-Permitting Simulations of Squall Lines.
Authors: Stanford, McKenna W.1, Morrison, Hugh2, morrison@ucar.edu, Varble, Adam1,3
Source: Monthly Weather Review; Dec2020, Vol. 148 Issue 12, p4971-4994, 24p, 1 Chart, 18 Graphs
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 147852989
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Impacts of Stochastic Mixing in Idealized Convection-Permitting Simulations of Squall Lines.
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  Data: <searchLink fieldCode="JN" term="%22Monthly+Weather+Review%22">Monthly Weather Review</searchLink>; Dec2020, Vol. 148 Issue 12, p4971-4994, 24p, 1 Chart, 18 Graphs
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1175/MWR-D-20-0135.1
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 4971
    Titles:
      – TitleFull: Impacts of Stochastic Mixing in Idealized Convection-Permitting Simulations of Squall Lines.
        Type: main
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          Name:
            NameFull: Stanford, McKenna W.
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          Name:
            NameFull: Morrison, Hugh
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            NameFull: Varble, Adam
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          Dates:
            – D: 01
              M: 12
              Text: Dec2020
              Type: published
              Y: 2020
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              Value: 148
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Monthly Weather Review
              Type: main
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