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Adapting to Climate Change with Machine Learning: The Robustness of Downscaled Precipitation in Local Impact Analysis.

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Title: Adapting to Climate Change with Machine Learning: The Robustness of Downscaled Precipitation in Local Impact Analysis.
Authors: Mendoza Paz, Santiago1,2 (AUTHOR) santiago.mendoza@ciudadaniabolivia.org, Villazón Gómez, Mauricio F.1 (AUTHOR) mauricio.villazon@fcyt.umss.edu.bo, Willems, Patrick2 (AUTHOR) mauricio.villazon@fcyt.umss.edu.bo
Source: Water (20734441). Nov2024, Vol. 16 Issue 21, p3070. 23p.
Database: Environment Complete
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PubType: Academic Journal
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  Data: Adapting to Climate Change with Machine Learning: The Robustness of Downscaled Precipitation in Local Impact Analysis.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Nov2024, Vol. 16 Issue 21, p3070. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=180782056
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        Value: 10.3390/w16213070
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        Text: English
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        StartPage: 3070
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      – TitleFull: Adapting to Climate Change with Machine Learning: The Robustness of Downscaled Precipitation in Local Impact Analysis.
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            NameFull: Villazón Gómez, Mauricio F.
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              Text: Nov2024
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              Value: 21
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