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Modified singular spectrum analysis in identifying rainfall trend over peninsular Malaysia
2019
Indonesian Journal of Electrical Engineering and Computer Science
<p>Identifying the local time scale of the torrential rainfall pattern through Singular Spectrum Analysis (SSA) is useful to separate the trend and noise components. However, SSA poses two main issues which are torrential rainfall time series data have coinciding singular values and the leading components from eigenvector obtained from the decomposing time series matrix are usually assesed by graphical inference lacking in a specific statistical measure. In consequences to both issues, the
doi:10.11591/ijeecs.v15.i1.pp283-293
fatcat:gnkolnxaknf2xmjewwwcfg2e3i