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N2O as a regression proxy for dynamical variability in stratospheric trace gas trends.

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Title: N2O as a regression proxy for dynamical variability in stratospheric trace gas trends.
Authors: Dubé, Kimberlee1 (AUTHOR) kimberlee.dube@usask.ca, Tegtmeier, Susann1 (AUTHOR), Bourassa, Adam1 (AUTHOR), Zawada, Daniel1 (AUTHOR), Degenstein, Douglas1 (AUTHOR), Sheese, Patrick E.2 (AUTHOR), Walker, Kaley A.2 (AUTHOR), Randel, William3 (AUTHOR)
Source: Atmospheric Chemistry & Physics. 2023, Vol. 23 Issue 20, p13283-13300. 18p.
Database: Environment Complete
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An: 173394875
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Chemistry+%26+Physics%22">Atmospheric Chemistry & Physics</searchLink>. 2023, Vol. 23 Issue 20, p13283-13300. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=173394875
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.5194/acp-23-13283-2023
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 13283
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      – TitleFull: N2O as a regression proxy for dynamical variability in stratospheric trace gas trends.
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            NameFull: Dubé, Kimberlee
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            NameFull: Tegtmeier, Susann
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            NameFull: Bourassa, Adam
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            NameFull: Sheese, Patrick E.
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            NameFull: Walker, Kaley A.
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            NameFull: Randel, William
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              Text: 2023
              Type: published
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              Value: 23
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              Value: 20
          Titles:
            – TitleFull: Atmospheric Chemistry & Physics
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