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

SJ Sohn, CY Tam - Climate Dynamics, 2016 - Springer
Capturing climatic variations in boreal winter to spring (December–May) is essential for
properly predicting droughts in South Korea. This study investigates the variability and
predictability of the South Korean climate during this extended season, based on
observations from 60 station locations and multi-model ensemble (MME) hindcast
experiments (1983/1984–2005/2006) archived at the APEC Climate Center (APCC).
Multivariate empirical orthogonal function (EOF) analysis results based on observations …

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

SSJ Sohn SooJin, TCY Tam ChiYung - 2016 - cabidigitallibrary.org
Capturing climatic variations in boreal winter to spring (December-May) is essential for
properly predicting droughts in South Korea. This study investigates the variability and
predictability of the South Korean climate during this extended season, based on
observations from 60 station locations and multi-model ensemble (MME) hindcast
experiments (1983/1984-2005/2006) archived at the APEC Climate Center (APCC).
Multivariate empirical orthogonal function (EOF) analysis results based on observations …
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