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Long-lead station-scale prediction of hydrological droughts in South Korea based on bivariate pattern-based downscaling.

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Title: Long-lead station-scale prediction of hydrological droughts in South Korea based on bivariate pattern-based downscaling.
Authors: Sohn, Soo-Jin1 jeenie7@apcc21.org, Tam, Chi-Yung2
Source: Climate Dynamics. May2016, Vol. 46 Issue 9/10, p3305-3321. 17p.
Database: Academic Search Ultimate
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  Data: Long-lead station-scale prediction of hydrological droughts in South Korea based on bivariate pattern-based downscaling.
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  Data: <searchLink fieldCode="AR" term="%22Sohn%2C+Soo-Jin%22">Sohn, Soo-Jin</searchLink><relatesTo>1</relatesTo><i> jeenie7@apcc21.org</i><br /><searchLink fieldCode="AR" term="%22Tam%2C+Chi-Yung%22">Tam, Chi-Yung</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Climate+Dynamics%22">Climate Dynamics</searchLink>. May2016, Vol. 46 Issue 9/10, p3305-3321. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=114853980
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        Value: 10.1007/s00382-015-2770-3
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        Text: English
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        StartPage: 3305
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      – TitleFull: Long-lead station-scale prediction of hydrological droughts in South Korea based on bivariate pattern-based downscaling.
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              Text: May2016
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