Application of self-organizing maps and K–Means methods to classify summer heat wave weather patterns in Viet Nam

The research applies self-organizing maps (SOM) technique in combination with K–Means method to objectively classify weather patterns that cause summer heat wave in Viet Nam based on the dataset from 1998 to 2018. The pressure of mean sea level (PMSL) and geopotential height at 500hpa (H500) of JRA25 reanalysis data are used.
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Application of self-organizing maps and K–Means methods to classify summer heat wave weather patterns in Viet Nam