Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region.

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Title: Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region.
Authors: Quichimbo, E. A.1 (AUTHOR) quichimbomiguitamaea@cardiff.ac.uk, Singer, M. B.1,2,3 (AUTHOR), Michaelides, K.3,4,5 (AUTHOR), Rosolem, R.5,6 (AUTHOR), MacLeod, D. A.1 (AUTHOR), Asfaw, D.T.4 (AUTHOR), Cuthbert, M. O.1,2,7 (AUTHOR)
Source: Hydrological Processes. Dec2023, Vol. 37 Issue 12, p1-19. 19p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 174515465
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region.
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  Data: <searchLink fieldCode="JN" term="%22Hydrological+Processes%22">Hydrological Processes</searchLink>. Dec2023, Vol. 37 Issue 12, p1-19. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=174515465
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/hyp.15047
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 1
    Titles:
      – TitleFull: Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region.
        Type: main
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            NameFull: Quichimbo, E. A.
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            NameFull: Singer, M. B.
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            NameFull: Michaelides, K.
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            NameFull: Rosolem, R.
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            NameFull: MacLeod, D. A.
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            NameFull: Asfaw, D.T.
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            NameFull: Cuthbert, M. O.
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            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
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              Value: 37
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              Value: 12
          Titles:
            – TitleFull: Hydrological Processes
              Type: main
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